Data Engineer Salary in San Francisco, CA

San Francisco Health PlanWill you help hard working San Franciscans get reimbursed for their health care? We're looking for an experienced Insights Data Analyst reporting to the Director of Product Management & Analytics. You will utilize advanced SQL queries and a strong knowledge of databases to extract and report on critical data components and help improve the accuracy of our outreach, answering important business questions for the San Francisco Medical Reimbursement Account (SF MRA) program. You will bring strong SQL skills, a good understanding of relational databases, the ability to develop detailed business requirements and fine-tuned attention to detail to check datasets for accuracy.Please note that while SFHP supports a hybrid work environment, this role will be required to be onsite and in-office a minimum of 4 days per month.Salary: $82,000 - $91,000/yearWHAT YOU WILL DO: Collaborate with colleagues with different levels of data literacy on the business side, as well as other Insights & Analytics team members and data engineers, to gather business requirements. Learn about the numerous datamart tables and fields that house information on the SF MRA program, and combine this with your understanding of relational databases, so that you can write precise requirements and compare new datasets to existing ones. Accurately write moderately sophisticated SQL queries, in a way that is easy for another analyst to understand, so that you can extract and manipulate data to answer business questions quickly. For example, Use appropriate joins Pivot data from long to wide format Simplify complex queries by using temporary tables Use date functions Convert character variables to dates or dollar amounts and remain engaged with a complex data problem through to resolution. Review your own and others' work to catch obvious and not-so-obvious errors. Learn about the SF MRA program, so that you are well placed to understand business needs and recommend appropriate data sources and analysis plans Expand on core data analysis skills to take on more challenging work using a broader array of data tools. Foster an environment that solicits and enlists diverse and inclusive perspectives and approaches to better serve our staff, our members and our providers. WHAT YOU WILL BRING A degree from a four-year college bachelors in Computer Science, Informational Technology or similar degrees which may be substituted with equivalent work experience 3-5 years of experience as a SQL Data Analyst, ideally in a healthcare environment 3 or more years experience using one or more other data tools like MS Excel, Tableau, Power BI, Stata, R or Python Strong analytical and problem-solving skills with the ability to formulate and communicate recommendations for improvement. Strong SQL skills to support data analysis on a daily basis. Understanding of information systems, business processes. Ability to produce accurate and precise work, detect discrepancies and resolve discrepancies all while meeting deadlines. Ability to work effectively, independently, and as part of a team. Strong organization, time management and multi-tasking abilities. WHAT WE OFFERA competitive and robust compensation package, including: Health benefits Medical: You'll have a choice of medical plans, including options from Kaiser and Blue Shield of California. Employee-only coverage in the HMO plans is currently available at no cost and dependent coverage is heavily subsidized by SFHP. Dental: You'll have a choice of a basic dental plan or an enhanced dental plan which includes orthodontic coverage. Vision: Employee vision care coverage is available through Vision Service Plan (VSP). Retirement – Employer-matched CalPERS Pension and 401(a) plans, 457 Plan Time off – 23 days of Paid Time Off (PTO) and 13 paid holidays Professional development: Opportunities for tuition reimbursement, professional license/membership. An opportunity to work in a vibrant atmosphere with the most amazingly talented people who are shaping the future of healthcare! The chance to make a difference in the lives of many San Francisco residents! Established in 1997, San Francisco Health Plan (SFHP) is an award winning, managed care health plan whose mission is to provide affordable health care coverage to the underserved low and moderate-income residents in San Francisco County. SFHP is chosen by eight out of every ten San Francisco Medi-Cal managed care enrollees and its 175,000+ members have access to a full spectrum of medical services including preventive care, specialty care, hospitalization, prescription drugs, and family planning services. SFHP was designed by and for the residents it serves and takes great pride in its ability to accommodate a diverse population that includes young adults, seniors, and people with disabilities.San Francisco Health Plan is proud to be an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals and in which our people processes are applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, citizenship, or other protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.San Francisco Health Plan is an E-Verify participating employer.Hiring priority will be given to candidates residing in the San Francisco Bay Area and California.PI238389920

314 Main Street (21020), United States of America, Cambridge, MassachusettsSenior Lead 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 Sr. Lead 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 of our capabilities and enable real-time customer-facing applications powered by these capabilities. 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 AI capabilitiesDevelop 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 field.At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques.At least 8 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 capabilitiesFamiliarity with deploying large neural network models in demanding production environments.Have experience with API security, observability, cloud access control and privacy best practices.Capital One will consider sponsoring a new qualified 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): $234,700 - $267,900 for Sr. Lead Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead 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).

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.

RESPONSIBILITIES:Kforce has a client in San Francisco, CA that is seeking a Backend Engineer.Responsibilities: Work closely with leadership, product, and engineering, to design, architect, and implement new features Identify, design and implement process and platform improvements Work closely with engineers to troubleshoot and resolve issuesREQUIREMENTS: 3-5 years of experience as a backend engineer, within a startup environment Strong experience with backend programming with Node.js Strong skills with writing and optimizing complex SQL queries Interest in data, and comfortable flexing into data engineer duties Experience working in an Agile environment Ability to communicate clearly in reports and documentation High level of attention to detail and accuracy in a fast-paced environment with multiple priorities Ability to work independently and collaboratively in a fast-paced environment The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Creator Marketing contributes directly to Meta's mission by connecting creators with their audiences and helping them grow through a variety of creator focused tools and features. We succeed when we help our creators grow on our platforms and engage with their audience in meaningful ways. As a result, our marketing team seeks to understand how our creators feel about our products and their experience on our platforms so that we can help them better understand Meta's intent and guide our creators to key features.The Creator Marketing Data Science team is seeking an exceptionally skilled data scientist who excels at the intersection of data, human behavior, marketing, product development, and engineering. In this capacity, the Data Scientist will conduct experiments, develop models, and provide valuable insights into our creator base, identify potential opportunities, and evaluate the effectiveness of our marketing strategies and tactics. The ideal candidate will possess a passion for problem-solving, innovation, delivering data-driven insights, and thriving in a fast-paced and dynamic work environment. Data Scientist, Creator Marketing Responsibilities: Take advantage of massive amounts of structured data to understand how our customers interact with our product and service offeringsProactively identify opportunities to improve the experience of creators on the Meta family of appsLead the measurement, analysis, and interpretation of results from data requirement gathering, to modeling, and recommendationsPartner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniquesDesign and execute experiments (e.g., A/B testing, multi-armed bandit)Communicate insights and recommendations to marketing leads and influence strategic decision-making Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.5+ years of experience in a data science capacity in a business strategy, marketing, finance, engineering, or analytics organization5+ Experience with data querying and manipulation using SQL, Python, or R Experience with experimental designExperience with data analysis and statistical modeling using the R or Python ecosystems, with packages such as pandas, Statsmodels, Scikit-learn, Tidyverse (dplyr, ggplot2, etc.)Experience with stakeholder communication and presentation skills Preferred Qualifications:An MBA or Master's or Doctorate degree in a quantitative discipline like Math, Statistics, Economics, Computer Science, Physics, Engineering, Operations ResearchSelf-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidanceProven track record of leveraging data to deliver business value and present data-driven insights to senior leadersExperience developing data pipelines via SQL and Python-based ETL frameworkExperience with online marketing and advertising data analysisExperience building cross functional relationships across a variety of functions to launch projects to drive business valueExperience communicating with and influencing technical and non-technical audiences (engineers, data scientists, program managers, marketers) About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

You will collaborate with image reconstruction scientists to design, implement, and verify:Algorithms for image reconstruction, image segmentation, classification, denoising, and enhancement to improve image quality and diagnostic accuracy;Techniques in deep learning, signal processing, and optimization to address challenges in medical image reconstruction and analysis;Methods to reveal, quantify, and visualize features in 3D ultrasound images;Simulations of ultrasound data acquisition and image reconstruction;Methods and fixtures to verify image reconstruction results;Applications to view 3D ultrasound images;Using C++ with CUDA on Linux and C++ on Windows.Qualifications:BS or MS in computer science, electrical engineering, math, physics, or bioengineering10+ years of experience in C/C++ and Python in a Linux environmentSubstantial experience with one or more of: Matlab, Numpy, SciPy, Julia

A DC engineer is needed to work on-demand for one of our clients. The following duties should be able to be carried out by the engineer:Deployment / In-Scope Configuration Items Servers (Virtual & Physical) Storage & Backup Devices Server Appliances Hyper Converged Infrastructure (E.g. Nutanix, Cisco UCS) Tape Storage Units Power Distribution Units rated 3KVA and below SAN Fabric Switches Network Switches KVM Units WAN Optimization Devices Firewalls Access Points Routers Physical Cabling Cable Management Cables which connect the device to itself, a peripheral, or a power/network port Break-fix / Technical Tasks List Power Cycling Running Diagnostics Commands Conducting whole unit replacement Inserting/Removing Media Replacing Defective Components Assist with fault diagnosis and investigation Configuring Remote Access Basic Storage Array Configuration Replacing faulty cables Tape Management and Maintenance Rebooting routers, servers, storage devices or other equipment Providing loop-back cables in order to test circuits remotely Re-seating or replacing components or cables Cleaning fibers Identify/Analyze fiber issues by using OTDR/LSPM/VFL Installing loop backs Racking, de-racking, and upgrade of any device installed Operations Tasks List Updating and Recording of activities in relevant IT Ticket Management System Coordinating and agreeing attendance time and date with key stakeholders Provide support either through phone, remote tools, or in person at onsite Perform installation as needed either through physical or network medium Coordinate the actual activity date and timing, including arrival and departure times Carry all necessary tools, laptops etc. which might be needed to support issues in the infrastructure environment Labeling, Patching and Asset Tagging activities Following specific task instructions and providing necessary reporting as necessaryJob Requirements:Technical Skills Good general understanding of IT principles such as Networks, Hardware and Domains Knowledge of Infrastructure (Data Center and Network) hardware architecture as to understand the procedure shared by L3 teams during troubleshooting,H&E support Knowledge of server/client operations in a domain environment including Active Directory Understanding of current and legacy hardware Infrastructure platforms Hands-on experience in installation and troubleshooting Infrastructure (DC & Network) equipment's, Rack and Stack of the equipment/cable Good Hands-on Experience in IMAC and Break-fix activities related to Infrastructure environment Ability to identify Excellent the right defective spares and replace them with provided good spares as instructed and by physical observations Knowledge of TCP/I P standards and networking Experience with Tape Management activities Excellent knowledge of best practices around management, control, and monitoring of server infrastructure Familiarity with backup and recovery software and methodologies Language skills needed English Soft Skills Exceptional customer facing skills Able to communicate clearly and effectively both with Client and the Customer Logical and analytical approach to work Accurate record keeping Able to work unsupervised Good timekeeper Intense focus on quality work Productive and Efficient Academic Background Bachelor of Engineering / Technology / Science or Equivalent Work ExperienceOverall Experience (in yrs.) 5 - 7 years (min

AMS Silicon validation Engineer (Analog Mixed Signal Validation Engineer)Bay Area, CAPermanent RoleThe main function of an AMS silicon validation engineer is to perform lab characterization and validation of various analog & mixed signal circuits and collaborate with multi-functional teams to bring the world class silicon system into market.Job Responsibilities:1.Bench setup, test, debug and characterization of on-chip AMS circuitry (LDO, PLL, Data Converter, Temp Sensor, and various I/O interfaces, etc)2.Developing scripts to automate tests, extract results, and generate reports using database and analytical tools, and compare measured performance against design specifications3.Preparing silicon validation and characterization plan in consultation with design team4.Defining requirements for test equipment's and silicon validation boards, including PCB schematic and layout5.Collaborating with cross functional teams including Chip Lead, Vendor, SOC, Validation Firmware, and System EE, etcSkills:1.Experience in AMS test development that includes: review specification document; draft validation plan; build test bench; and perform data collection with automation2.Experience in testing of PMIC, High Speed I/O, Data Converter, Temp Sensor, etc.3.Proficient in lab instruments such as Oscilloscope, Source Meter, Waveform Generator, Network Analyzer, Spectrum Analyzer, Thermal Chamber, BERT, etc.4.Experience in scripting language, python preferred, to automate test and analyze data5.Basic ability to work independently and manage one's time.6.Basic ability to troubleshoot issues and make system changes as needed to resolve issue.7.Basic knowledge of computer hardware and software.8.Strong verbal and written communication skills