Field Engineer Salary in San Francisco, CA

DESCRIPTIONGoodreads is the world’s largest site for readers and book recommendations. Our mission is to help people find and share books they love. Loved by avid and casual readers alike, Goodreads members can discover new books by seeing what their friends are reading or by using the Goodreads Book Recommendations, share ratings and recommendations, track what they have read, and list what they want to read. Come join us and be a part of Amazon family here at Goodreads!We are looking for an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer to join the team. The person in this role will develop business metrics, and generate insights that will help inform business strategy. You will mine data, run statistical analyses, create dashboards, gather insights, and make recommendations based on your findings to help senior leaders make key business decisions. Data analysis is at the core of Goodreads and Amazon’s culture, and your work will have a direct impact on decision making and strategy for organizations.The ideal candidate will have statistical and analytical abilities, business acumen and judgment, intense curiosity and strong technical skills. They are a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards and using visualization tools, while always applying analytical rigor to solve business problems.Key job responsibilities• Write high quality optimized SQL to retrieve and analyze data from relational databases (ex. Redshift, MySQL, S3, RDS)• Collaborate with other teams to design and implement ETL data pipelines for extracting and analyzing billions of records from multiple databases.• Work closely with Data Engineers and business users to design clean and scalable data sources required for analytics and reporting.• Create user–friendly, repeatable reporting solutions to minimize ad hoc customer requests• Define and develop business-critical metrics, reports, key performance indicators• Build various data visualizations to tell the story of business trends and performance patterns, and outliers through rich visualizations.A day in the life• Write high quality optimized SQL to retrieve and analyze data from relational databases (ex. Redshift, MySQL, S3)• Collaborate with other Business Intelligence teams to design and implement ETL data pipelines for extracting and analyzing billions of records from multiple databases.• Design and implement clean and scalable data sources required for analytics and reporting.• Work closely with data scientists and product management to drive data-driven improvements• Create user–friendly, repeatable reporting solutions to minimize ad hoc customer requests• Define and develop business-critical metrics, reports, key performance indicatorsAbout the teamYou will be on a dynamic team that works on a broad range of projects which impact the business as well as Goodreads community. As a team, we power and help optimize Goodreads experiences and features. We investigate feature performance, user behavior, trends and offer insightful recommendations, analytical and data science solutions to the business. We are responsible for reporting and monitoring business metrics and KPIs.We are open to hiring candidates to work out of one of the following locations:San Francisco, CA, USABASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience in Statistical Analysis packages such as R, SAS and Matlab- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative fieldPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative fieldAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $79,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

Thornton Tomasetti applies engineering and scientific principles to solve the world's challenges. An independent organization of creative thinkers and innovative doers collaborating from offices worldwide, our mission is to bring our clients' ideas to life and, in the process, lay the groundwork for a better, more resilient future. We provide support and opportunities to our employees to achieve their full potential and cultivate a rewarding career. Our Forensic practice investigate problems in the built environment and provide evidence-based solutions founded on rigorous science and physics. We assist attorneys, property managers, building owners, contractors, manufacturers and design professionals with a wide range of engineering and architectural issues. The Role We have an immediate opportunity for a Forensic Structural Engineer with interests in structural forensic investigation, litigation support, risk loss consulting, structural repair, and retrofit design. This individual will be expected to execute structural investigations of existing buildings and to design remedial repairs for deficient conditions. The investigations include failure cause and origin analysis, life cycle cost and feasibility analyses, risk loss insurance and claims response, and litigation support. The candidate will be required to provide direction to, and review the work product of, junior level staff, coordinate with other project managers on interdisciplinary efforts, support marketing efforts, and develop and maintain client relationships. ResponsibilitiesOn-site inspections and investigations including surveying and documenting observations, photographing, and sketching. Researching historical background of diverse structures, technical issues, and code issues. Organizes field data to facilitate analysis and problem solving. Complete structural analysis and repair rehabilitation design of concrete, steel, timber, masonry, and other structural systems. RequirementsDegree (Master's preferred) in structural or architectural engineering; undergraduate in engineering is required. Field experience with diverse building types preferred. Ability and willingness to travel within the US and internationally CompensationThe rate for this position generally is$75,000-$85,000annually.This range is a good faith estimate provided pursuant to the California Pay Transparency Law. It is based on what a successful California applicant might be paid and assumes that the successful candidate will be in California or perform the position from California. Similar positions located outside of California will not necessarily receive the same compensation.Actual pay rates may vary from the range, as permitted byCaliforniaEqual Pay Transparency Law. Compensation offers will be based on various factors, including operational needs, individual education, qualifications and experience, work location and comparison to employee already in the role, as well as other considerations permitted by law. A potential new employee's pay history will not be used in compensation decisions. Benefits Depending on your employment status, benefits may include: Medical, Dental, Vision, Life, AD&D, Disability and other voluntary benefits Flexible Spending Accounts for Medical and Childcare Paid Time Off, Family Leave for New Parents, Volunteer Time Tuition Reimbursement Commuter Transit (where available) 401k retirement savings with Company matching on employee contributions and/or qualified student loan repayments Fitness Reimbursement And other various wellness, diversity/inclusion and employee resource programs and initiatives Thornton Tomasetti is proud to be an equal employment workplace. Individuals seeking employment at Thornton Tomasetti are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Thornton Tomasetti Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Thornton Tomasetti are conditioned on your acceptance and compliance with these terms.Please access the linked document by clicking here , select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

#ML Engineer *REMOTEHackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment.***Responsibilities1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.**Qualifications:**1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

Equal Employment Opportunity/M/F/disability/protected veteran statusAzzur GroupAzzur Group is looking for mid-level Facility Engineer to join our growing team. Working with a multi-disciplinary team, the Facility Engineer ensures completion of project deliverables according to the established plan. In this hands-on role, the Engineer is the one of the key liaison between project stakeholders (client, company and direct reports), and will be responsible for the quality of work produced by their team. Experience with cGMP and FDA compliance is essential.Essential Duties and ResponsibilitiesWrite technical documents associated with projects.Write engineering and design specifications (URS/FS/DS) for facility and utility systems.Perform (hands on) troubleshooting activities to ensure continuous utility support.Reviewing equipment lists, instrument lists, drawings, specifications, and submittals to ensure quality, accuracy, and completeness.Performing field walk downs to ensure installation meets design requirements.Identifying deficiencies of existing utility equipment and ensure correction in a timely manner.Required ExperienceBS Engineering or related discipline.Minimum 5 years facility engineering experience in the pharmaceutical, medical device and/or biotechnology industry is required.Experience with HVAC and WFI systems is required.Strong utility and facility design and troubleshooting experience.Experience with FDA compliance and cGMP is required.Must be results oriented with several years of hands-on experience, familiar with industry concepts, practices, and procedures in a cGMP environment.Experience in the areas of design documentation (URS, FS, DS and other engineering specifications) Validation (IQ, OQ, PQ, PV, CV, CSV, etc.), Quality Systems (Change Control, Non-Conformances, Requalification, etc.), and Process Excellence Methodologies (Six-Sigma, Lean, etc.).Excellent verbal, oral, and technical writing communication skills.Proficient in Microsoft Word, Excel, Power Point, Project and able to quickly learn new computer applications.Azzur Core Values:Puts Others First...Have the Courage to Take Action…Take Personal Responsibilities…Have Fun!Do What You LoveAt Azzur, we look for talented individuals who take pride in the work they do. We foster employee growth by encouraging our employees to focus on doing what they love and what they do best.PI238755790

201 Third Street (61049), United States of America, San Francisco, CaliforniaSenior Engineer - Generative AI Product EngineerOur mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services that enable real-time customer-facing applications. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs.Design APIs for performance, real-time applications, scale, ease of use and governance automation.Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience.Enable our users to build new GenAI capabilities.Develop tools and processes to monitor API access patterns and operational health.Design and implement AI safety and guardrails in the API layer working closely with researchers.Basic Qualifications:Bachelor's degree in Computer Science, Computer Engineering or a technical fieldAt least 4 years of experience designing and building and deploying ML application platforms.At least 4 years of experience programming with Python, Go, Scala, or JavaAt least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networksPreferred Qualifications:Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.Experience at tech and product-driven companies/startups preferred.Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities.Familiarity with deploying large neural network models in demanding production environments.Have experience with API security, observability, cloud access control and privacy best practices.At this time, Capital One will not sponsor a new applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Center 3 (19075), United States of America, McLean, VirginiaSenior Engineer - Generative AI Product EngineeringOur mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services that enable real-time customer-facing applications. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs.Design APIs for performance, real-time applications, scale, ease of use and governance automation.Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience.Enable our users to build new GenAI capabilities.Develop tools and processes to monitor API access patterns and operational health.Design and implement AI safety and guardrails in the API layer working closely with researchers.Basic Qualifications:Bachelor's degree in Computer Science, Computer Engineering or a technical fieldAt least 4 years of experience designing and building and deploying ML application platforms.At least 4 years of experience programming with Python, Go, Scala, or JavaAt least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networksPreferred Qualifications:Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.Experience at tech and product-driven companies/startups preferred.Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities.Familiarity with deploying large neural network models in demanding production environments.Have experience with API security, observability, cloud access control and privacy best practices.Keen attention to following production standards and practices.Passionate about ML optimizations and open source technologies.At this time, Capital One will not sponsor a new applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Eurofins MET Laboratories is currently seeking an individual that is experienced in either the National Electrical Code (NEC -NFPA 70) and/or an Engineer that is familiar with equipment compliance standards (UL/ANSI/NFPA/CSA) to fill a Field Engineer position within the Mid-Atlantic region. Eurofins MET Laboratories, Inc. is one of the Nation's leading laboratories for the testing and certification of electronic and electrical products. We are a Nationally Recognized Testing Laboratory (NRTL) and have been serving clients for over 60 years. Field Engineer responsibilities include, but are not limited to, the following : Support department objectives and company goals Be a team player Sustain a positive, enthusiastic and professional attitude at all times Accommodate requests with a smile and "let me see what I can do" attitude Adhere to manager directives Maintain a professional appearance and demeanor Arrive on time, properly dressed and prepared to work Perform all duties in a timely, accurate, honest and professional manner Communicate with customers professionally and in accordance with customer service standards Be respectful to others Perform Field Evaluations of electrical systems/assemblies to determine compliance with product safety standards and state and local codes. Uses technical training to deem system compliance, adhering our NRTL label, or providing the needed correspondence for corrective action. Able to write technical reports and provide to clients within a timely manner. Review of colleagues Field Evaluation reports and provide to clients within company guidelines. Communicates with customers, manufacturers, and Authorities Having Jurisdiction before, during and after the electrical evaluation. Submittal of travel expenses on a bi-monthly schedule and weekly billing reports. After initial training period, be able to be self-sufficient and manage time and resources effectively. Ensuring client reports are provided within the company guidelines. Other duties as deemed relevant by management. The ideal candidate would possess : Ability to maintain confidentially Needs to be receptive to and accepting guidance from others Ability to deal with difficult people and problems Able to work well in a team environment Able to work in a diverse group of people Attention to detail Ability to multi-task and prioritize assignments Professional appearance Willing to travel - This position requires substantial travel Willing to work overtime Basic Minimum Qualifications : A BSEE degree, or equivalent, or other technical degree and relevant work experience is required. Experience in the product safety field is a plus either with a NRTL or a FEB. Candidates with a Masters Electrician License will be considered. Two year college degree-technical discipline or equivalent relevant work experience. Demonstrated experience assessing electrical equipment for compliance to US safety standards and US electrical installations. Experience with the National Electrical Code (NEC - NFPA 70). Able to sit or stand for long periods of time Able to lift up to 30 pounds Authorization to work in the United States indefinitely without restriction or sponsorship Position is full-time, Monday-Friday, and requires a flexible 8 hour schedule with overtime as needed. The position will be in the West Coast Region - California/Nevada/Oregon/Washington/Colorado As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options. To learn more about Eurofins, please explore our website www.eurofinsus.com . Eurofins is a M/F, Disabled, and Veteran Equal Employment Opportunity and Affirmative Action employer.

Artisan Insight is commercializing a deep tech innovation to fundamentally change the electronics industry. We are a team of experienced co-founders who have worked at companies like Flex, Uber, Verkada, Heptio, and Bridgewater. We have shipped code that runs on Mars, scaled the largest web services, and changed the way people get around cities. We are backed by exceptional investors who are committed to creating the next category defining company. We are hiring the first engineers who will work directly with the cofounders to define how we work and what we build. We are a small team with an ambitious vision and exciting technical challenges.WHAT WE VALUE:Passion for your Craft: Show us your personal projects, your passions, your reason for being an engineer. We look for a maker's attitude and willingness to take on any challenge.Learner's Mindset: We focus on learning and thrive in an environment with hard problems and frequent feedback. This role will stretch both the depth and breadth of your skills. You will work with incredible people on an incredible mission and learn by doing new things. As an early team member, you will have the freedom to set the culture and are expected to innovate.High Standards & Continuous Self Improvement: We have high expectations colored by optimism. We prioritize learning, experiment often, and admit when we're wrong. We're doing something never tried before and value people who are comfortable with the unknown and want to figure things out together.THE ROLE:We are hiring a manufacturing engineer to take us from the first prototype to mass production and automation. You will be responsible for assembling the initial proof of concept and working with top tier suppliers to create a high-yield production process. You will be expected to be hands-on in the lab and to create assemblies, processes, and operations that minimize cycle time and maximize performance. You intuitively understand how the products around you are made and have been on the production floor when things go wrong. You have a rolodex of suppliers and have leveraged them to build hard things. There is no one job listing that has developed our product; however, prior experience in consumer hardware with displays, antennas, PCBAs, and a host of PSAs would set you up for success. A list of other suggested qualifications is below.REQUIREMENTS & ATTRIBUTES:5+ years of experienceBS or MS in Mechanical engineering, physics, manufacturing engineering or related fieldAdvanced skills in Solidworks, NX, or Fusion with parametric modelingComfort with stress/strain curves and physics of materialsExceptional greenfield design and assembly skillsComfortable with equipment like microscopes, 3D printers, PSA, vacuum chucks, pumps, CNC machining, and basic chemistryExperience working with an electrical engineering team to take a product through NPIStrong knowledge of sealing and adhesion of dissimilar materials like plastic, glass, and metalA good understanding of process capability and how to get a process in controlA good understanding of lithography and microfabricationA willingness to stay hands on, be scrappy, and iterate fastBONUS POINTS TO STAND OUT FROM THE CROWD:????COF, COG, or other design experience with high-resolution displays or touch panels????Clean room or laser processing experience????Experience in a wet lab????Materials handling and process automation????Defect analysis or FMEAIf you don't meet the exact requirements but have other reasons why you think you would be a good fit, we encourage you to apply and tell us about them. All applications will be reviewed and receive a response from a human.BENEFITS:Flexible vacation policy to recover and rechargeAn in-person culture where we work hands-on with the hardwareEmployer-sponsored health insurance with subsidy for family membersA generous equity plan on top of market-based competitive salaryNo red tape so decisions get made quickly and we stay innovativeAt Artisan Insight, we don't just accept differences, we celebrate and support them for the benefit of our employees, our products, and our community. By uniting different perspectives, we imagine new possibilities, inspire innovation, and realize the full potential of our people. Artisan Insight is an equal opportunity employer. Employment at Artisan Insight is based solely on a person's merit and qualifications directly related to professional competence.

Job DescriptionHill International is seeking a Sr Cost Engineer in San Francisco, CaliforniaThe Senior Cost Engineer will support the Program Control Mangers and Project Managers to gather, review, analyze and assist in reporting on Project costs and scope information for the overall Capital Improvement Program (CIP). In this role, there will be heavy emphasis on detailed data collection, validation, compilation and reporting through PowerPoint, Unifier and Excel, requiring a keen eye for accuracy and formatting consistency.ResponsibilitiesAssist with the development and maintenance of program-level budget, funding and forecast reports in Unifier, or any other required medium, using cost data provided by each Project Team.Develop and manage large datasets to support ongoing analysis and population of project data management systems.Program level cashflow development, tracking, review and analysis including monthly and quarterly executive reporting.Monthly program and project financial reporting and quality assurance.Maintain business processes in compliance with SFO policies and procedures and contract terms and conditions, including impact analysis and recommendations in response to changes.Work alongside project teams to assure reporting data integrity. Perform quality assurance of individual Project reports and assist the teams in enhancing consistency and accuracy of all reporting information. Perform independent and proactive analysis and troubleshooting of project and program reporting information with development of concise solution recommendations for complex problems.Provide information and mentoring to team members in the areas of controls, risk management, budgeting and forecasting, driving consistency and compliance of business processes and reporting.Provide support to Program Controls Managers and CIP project teams as needed to meet reporting deliverables in a timely manner. Program and project cost versus schedule alignment.Review Change orders and independent cost estimates.Produce monthly program contingency analysis.Program level reserves tracking and analysis.Contribute to developing training material and conducting training presentations for the overall CIP.Guide and support team members, assess individual needs and align mentoring strategies with organizational goals.Stay updated on industry trends.QualificationsEngineering, Construction Management, Architecture (or related field) Degree and 10+ years of project or program controls experience on a major construction program.Advanced skills with Unifier, PeopleSoft, Microsoft Office Excel, PowerPoint, Word, and Process Flow software such as Visio or Balsamic.Thorough working knowledge of project management information systems, such as Primavera Unifier.Thorough working knowledge of construction project or program controls, cost engineering, finance, accounting, and business analysis.Solid experience with policies, procedures, and contract administration of construction contracts.Working knowledge of Progressive Design-Build with Final GMP, Design-Bid-Build, CM/GC construction delivery methods.Strong organizational skills with a proven record of an attention to detail and impeccable follow-through of open actions.Strong interpersonal skills including excellent written and verbal communication.Enthusiastic and collaborative individual with the ability to work under pressure in a highly dynamic environment.Able to work both independently and as part of a team with flexibility to adjust to changing priorities while managing to deadlines.Qualifications And Experience PreferredPrevious Airport construction experience.5 years of leadership experience managing technical staff of 5+.Experience working with City and County of San Francisco. Has worked on multi-billion-dollar projects or programs.AACE certification Advanced degreeThe salary range for this position is $155,000 - $195,000. The offered salary will be based on the applicants qualifications, education, experience and work location.Depending upon your employment status, Hill's comprehensive benefits may include, Medical, Dental, Vision, Employer Paid Life and Accidental Death & Dismemberment Insurances, Business Travel Accident Insurance, Short-Term Disability, Long Term Disability, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Commuter Benefits, Legal Assistance, Identity Theft Protection, Pet Insurance, Auto & Home Insurance, Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Voluntary Life & Accidental Death & Dismemberment Insurance. Paid Time Off (PTO), Holidays, 401(K) Retirement Savings Plan, Employee Referral Program, Professional Certification Incentive Program, Hill University Learning and Development, Tuition Reimbursement, EAP, Years of Service Awards Program.About UsHill International, with more than 3,200 professionals in over 100 offices worldwide, provides program management, project management, construction management, project management oversight, dispute resolution, advisory, facilities management, and other consulting services to clients in a variety of market sectors. Engineering News-Record magazine recently ranked Hill as one of the largest construction management firms in the United States. For more information on Hill, please visit our website at www.hillintl.com .Hill is exclusively a program, project, and construction management provider, meaning we have one focus as a company: protecting client interests. Free of any potential conflicts, our entire business is geared towards helping clients achieve their desired outcomes. We are dedicated to exceeding expectations throughout the entire construction project lifecycle and adapt to the needs of each assignment to develop tailored approaches and solutions to meet those needs.Hill is a proud member of the Global Infrastructure Solutions, Inc. family of companies. Learn more about GISI at www.gisi.com .Hill International is an Equal Opportunity Employer/Minority/Female/Veteran/DisabledNote: This job description is intended to provide an indication of the nature and levels of work, knowledge, skills, abilities and other essential functions to be carried out as part of fulfilling the role mentioned in the job title. Various other duties as required.IER Right to Work PosterE-Verify Participation Poster

Your new companyOur client is an extremely strong and well-reputable construction organization servicing customers across the nation. They are looking for their next Project Engineer in the Bay Area, California. This client specializes in utility construction services, and has a massive presence in the US, specifically California.Your new roleAs a Project Engineer, you will make sure the work complies with safety, specifications, cost guidelines, reporting requirements and field engineering activities for assigned projects in the Bay Area, California. You must be detail oriented, an organized individual, and have strong interpersonal skills to succeed in this job.What you'll need to succeedTo succeed in this job opportunity you'll need 3 years of construction PE experience. Ideally, you will have a few years of prior experience with utilities and pipeline construction services and a degree in construction management, engineering, or a related field.What you'll get in returnTo join an organization that values its employees. You will be offered a base salary of $80,000 - $120,000, strong health benefits, a 401k program, stock ownership program, paid vacation time, bonus opportunities, paid holidays and lots more.What you need to do nowIf this job opportunity is paying $80,000 - $120,000 in the Bay Area, California seems like a good fit for you, click apply now to upload a copy of your resume/CV. Feel free to contact the hiring team directly for this role at [email protected].#LI-DNI #1156929 - Evan Kokales