Technology Engineer Salary in Palo Alto, CA

View transcriptDESCRIPTIONAmazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions—including sponsored, display, video, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more.Amazon Publisher Services (APS) helps publishers of all sizes increase monetization and yield. APS provides exclusive access to Amazon marketing spend and extends our cloud-based platform technology to enable publishers to maximize revenue opportunity across devices and media channels while improving user experience. The end result is an Amazon product that lets publishers focus on what they do best: publishing.APS Mobile engineering team focuses on product suites that empower mobile publishers to quickly build and grow thriving businesses through maximizing revenue, improving user experience, and gaining deeper insights into their audience.We’re looking for an engineer who gets excited by the idea of creating new products, features, and services from scratch while managing ambiguity and the pace of our organization whose ship cycles are measured in weeks, not years. If this is you, come make the internet better with us.Responsibilities* Think big, bringing innovative ideas and optimizations to improve the publisher experience. * You take a long-term view of architecture, proactively fixing deficiencies and/or proposing larger projects.* You understand the business impact of your systems and show good judgment when making technical trade-offs.* You are a key influencer in team strategy.* You bring perspective and provide context to guide future technology choices.* Your code submissions and approach to work are exemplary. You write software that is easy for others to contribute to.* You drive engineering best practices (e.g., Operational Excellence, Security, Quality, etc.) and set standards.* When confronted with discordant views, you are able to find the best way forward and influence others to follow that path (build consensus).* You contribute to the professional development of colleagues, improving their technical knowledge and engineering practices.* You ensure your team is stronger because of your presence, but does not require your presence to be successful.Key job responsibilities* Passion for innovation and delivery of high quality products.* Understanding of asynchronous programming, multi-threading, and design patterns.* Deep understanding of mobile frameworks (especially iOS).* Ability to keep SDKs up-to-date on the latest industry trends in mobile technologies.About the team**We are open to hiring this position in Austin, NYC, or PaloAlto!**We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USA | Austin, TX, USA | Palo Alto, CA, USABASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/year in our lowest geographic market up to $223,600/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.

DESCRIPTIONAmazon Advertising is the digital advertising arm of Amazon and one of our fastest growing businesses. We operate at the intersection of commerce, entertainment and advertising, offering unique advertising products (Sponsored Products, Sponsored Brands and Sponsored Display), enterprise ad tech (Amazon DSP, Amazon Marketing Cloud, Amazon Publisher Services) and a rich array of unique creative, format and measurement solutions. We offer advertisers premium brand placements on our owned and operated properties, including Prime Video ads, UEFA Champions League, FreeVee, Prime Video sponsorships, Twitch, and FireTV as well as on third-party publishers via Amazon Publisher Direct.We start with the customer and work backwards in everything we do, including in advertising. We believe that advertising, when done well, enhances the customer experience with delightful discovery for consumers and compelling performance for advertisers. The insights we deliver to advertisers and their partners enable them to build unique connection with consumers, from first discovery to loyalty in a unique and compelling way versus any other media platform at scale.We are seeking a talented and experienced Data Engineer to join the reporting and analytics wing of the Systems and Control Tiger team. You will be responsible for designing, developing and maintaining monitoring dashboards. You will work closely with our cross-functional teams to deliver up to date metrics, scalable data pipelines and visualization dashboards. This role requires fluency in bid data technologies, statistics, understanding of web application domain such as front-end and back-end, excellent problem-solving skills, and a passion for staying up-to-date with the latest industry trends. The ideal candidate will have a strong background in statistics, building pipelines in distributed systems, large scale data preprocessing, query languages such as SQL or PySpark, Python programming language and familiar with web application technologies such as React. Key job responsibilities• Design, develop and maintain data pipelines and metric repositories.• Design, develop and maintain data intensive web applications and using a variety of technologies, including but not limited to Scala/SQL/PySpark, Python, HTML, CSS, JavaScript, React, Angular, Node.js, Ruby, and Java.• Collaborate with other scientists to define key metrics.• Write clean, efficient, and maintainable code while adhering to best practices and coding standards.• Implement automated monitoring measures for outlier detection.• Optimize applications for maximum speed, scalability and reliability. • Troubleshoot and debug issues, and propose solutions to ensure the performance, security, and usability of applications.• Profile and optimize code for performance; including identify and resolve bottlenecks in data pipelines.• Stay up to date and drive the implementation of distributed computing best practices.• Mentor and provide technical guidance to junior developers as needed.• Work closely with science and engineering teams. We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USA | New York City, NY, USA | Palo Alto, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices- Proven experience in building visualization dashboard using web application technologies such as Python, JavaScripts, HTML, CSS or PHP.PREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehouses- Knowledge of data mining techniques, predictive analytics, and statistical modeling- 5+ years of AdTech or FinTech experienceAmazon 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $123,700/year in our lowest geographic market up to $240,500/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.

DESCRIPTIONIn Amazon Advertising we are applying Machine Learning techniques at massive scale to optimize advertising performance. We are looking for talented applied scientists to perform research, prototyping, and experimentation with the latest ML techniques. In this role you will work together with other Applied Scientists and Data Scientists, Software and Data Engineers, and Product Managers on high impact initiatives in Amazon’s Multi Channel Advertising.The Ad Performance and Delivery team owns the core systems for optimizing Ad Selection, Bidding, and Campaign Performance. These systems process billions of Ad impressions daily from across the internet to power our display advertising algorithms. You will play a significant role in building and improving ML-based optimization systems for Amazon’s display, audio, and video advertising. You will research the latest advances in ML prediction and forecasting techniques, construct prototypes to validate your hypothesis, work with engineers to turn these prototypes into production systems, and perform offline analysis and online A/B experimentation.In this role, you will work directly with a highly motivated team of ML scientists and engineers who are passionate about applying data science and ML techniques to solve advertiser needs. You will also join the lively Amazon ML community, with opportunities to write papers, attend workshops and conferences (internal and external), participate in science events, and obtain early access to Amazon ML technologies.As a Senior Applied Scientist on this team, you will:- Be a technical leader in Machine Learning and drive full life-cycle Machine Learning projects.- Lead technical efforts within this team and across other teams.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production. - Run A/B experiments, gather data, and perform statistical analysis.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Work closely with software engineers to assist in productionizing your ML models.- Research new and innovative machine learning approaches.- Recruit Applied Scientists to the team and mentor scientists on the team.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE We are open to hiring candidates to work out of one of the following locations:Palo Alto, CA, USABASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.

DESCRIPTIONWe’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesWe seek a strong Software Development Engineer with domain expertise in machine learning, deep learning and distributed inference system. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, research and implementations of distributed inference system and optimization techniques focusing on latency reduction and throughout improvement for large-language model. You will devise and implement state-of-the-art inference optimization solutions at scale. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.We are open to hiring candidates to work out of one of the following locations:Palo Alto, CA, USABASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/year in our lowest geographic market up to $261,500/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.

Office Manager | AM LAW 50 Firm | Palo Alto, CA Our prestigious and globally recognized AM LAW 50 client is hiring an experienced law firm Office Manager for their Palo Alto, CA office. The office manager will be responsible for the day-to-day operations of the office in support of their clients and lawyers. At the direction of the Director of Administration and Managing Partner, the Office Manager will be responsible for supervising the support staff in conjunction with firmwide department chiefs and directors, will be responsible for the various office operations including monitoring workflow and human resources activities to include performance evaluations, staff development, conflict resolution, life/safety, and other activities. In partnership with the Director of Administration and Managing Partner, the office manager will provide functional and thought leadership to the office to ensure operational excellence and creative office culture stimulation opportunities. The office manager will also be responsible for facilities including leasehold improvements and space planning, and internal and external moves. This person will also plan and execute all office activities and social events. Law firm experience is highly preferred. Our client is offering a very competitive compensation, benefits, and bonus package.Send resume to Amy Altman, Director: [email protected]:Accounting:Through coordination with the Director of Administration, prepares/monitors budget for the Palo Alto office, coordinates daily accounting functions, approves all office operational non-client invoices, helps coordinate completion of time entry and pro formas by established deadlines.Regional departments:In conjunction with regional and firmwide department (Diversity/IT/Marketing/Recruiting/Records) chiefs, directors and managers, aids in the support of the various departmental local office staff and functions.Facilities:Manages facilities functions (reception, catering, conferencing, furniture, maintenance/repairs, office services, supplies, etc.) for the Palo Alto office. Communicates effectively with the landlord/property manager/engineer in lease, sublease and building operations matters.Secretaries:Maintains adequate secretarial staffing to support the Firm's needs, which includes projecting staffing needs. Confers with the Human Resources Director and San Francisco Secretarial Manager to discuss staffing needs, including reassignments, workloads, and conflicts. Assists with the analysis, development, and implementation of training programs for the secretarial staff. Meets with the attorneys to discuss secretarial and work overflow needs. Maintains harmony among secretarial staff and resolves conflicts in the department. Responsible for maintaining and improving morale. Makes recommendations to resolve problems as needed. Observes the quality and production of work performed by the secretaries.Supervisory:Supervises non-legal staff, including recommendations for hiring, firing, performance evaluations and counseling, training, work allocation and problem resolution, in conjunction with DOA and firmwide department chiefs and directors. Participates in reviews of all local office non-legal staff and collaborates with the West Coast Human Resources Director on employee relations issues and disciplinary meetings. Supervises daily functions of on-site outsourced personnel. Works collaboratively with the West Coast Team responsible for administrative functions and has an appropriate working knowledge of technology infrastructure and event planning.Miscellaneous: Performs miscellaneous job duties as assigned by the Director of Administration and/or Managing Partner of the office.REQUIREMENTS:Minimum of 3 years of office management, including human resources, facilities and technology, experienceLaw firm experienceOTHER SKILLS AND ABILITIES:The following will also be required of the successful candidate:Strong organizational skillsStrong attention to detailGood judgmentStrong interpersonal communication skillsStrong analytical and problem-solving skillsAble to work harmoniously and effectively with others.Able to preserve confidentiality and exercise discretion.Able to work under pressure.Able to manage multiple projects with competing deadlines and priorities.

Description Associate General Counsel Sr. - Information Security Preferred Location: Palo Alto, CA; Chicago, IL; Boston, MA; Atlanta, GA; New York, NY; or Indianapolis, IN. Candidates must reside within 50 miles or 1-hour commute each way of a relevant Elevance Health location. Elevance Health supports a hybrid workplace model (virtual and office) with PulsePoint sites used for collaboration, community, and connection, with the minimum in-office commitment being 1-2 days in an office per week. The Associate General Counsel Sr. is responsible for providing legal advice on enterprise-wide information security matters and will effectively assist and advise the office of the CISO on recommended courses of action and legal risk. How You Will Make an Impact: Primary duties may include, but are not limited to: Work closely with the CISO's office on Incident Response in managing and coordinating legal aspects of any cybersecurity incidents. Provide oversight on security-related notification requirements, regulatory compliance, and potential legal actions. Collaborate with Information Security leaders and key stakeholders, including Privacy Office, to improve incident response processes and procedures. Work collaboratively across the organization to provide legal support for the cybersecurity and data protection programs (including legal support for regulatory and audit functions, as needed), and establish appropriate relationships with responsible members of relevant groups, such as Risk, Information Security, Marketing and Communications and Ethics, Privacy and Compliance, to ensure coordinated and appropriate responses to incidents, issues, and opportunities in the cybersecurity space including implementation of robust security measures and risk mitigation strategies. Ability to handle and manage legal work associated with complex, novel, high-value enterprise information security initiatives with broad organizational impact and moderate to high level of risk. Provide advice and assistance to executives and management on corporate, legal and regulatory matters within the scope of the attorney's job. Minimum requirements: Requires a JD, current license to practice law and minimum of 15 years of specific industry and/or technical legal experience post licensure including experience in managing outside counsel; or any combination of education and experience, which would provide an equivalent background. Preferred Skills, Capabilities, and Experience: JD from an ABA accredited law school and current license to practice law. 10-15 years of legal practice experience with a focus on information security, cybersecurity, and data privacy matters in a technology-related company, law firm, or health care setting. Deep experience with data protection and privacy laws that require appropriate handling and safeguarding of personal and sensitive data. Experience in health care information security a plus. Extensive experience managing outside counsel. Excellent written and oral communication skills, and the ability to effectively present information to and advise senior management. Ability to work well both independently and as part of a team with a manager. Ability to thrive in a complex corporate environment. Significant technical background assessing legal risks associated with information security and cybersecurity practices and developing strategies to mitigate potential liabilities. Deep experience providing legal guidance on information security risk management and incident prevention for a large enterprise or business unit. Requires experience providing legal counsel on remediation of reported security vulnerabilities and experience supporting related pre-litigation and active matters involving cybersecurity. Extensive experience reviewing, drafting, and negotiating contracts with clients, vendors, and partners related to information security and cybersecurity matters. Demonstrated experience providing legal review of updates to enterprise information security standards. Experience assisting in the creation of information security audit and monitoring frameworks. Deep understanding of relevant laws and regulations, with demonstrated ability to stay up to date with industry standards related to information security and cybersecurity. Significant experience advising and supporting development and implementation of policies and procedures to align with these legal requirements and guidelines. For candidates working in person or remotely in the below locations, the salary* range for this specific position is $184,800 to $332,640. Locations: California; Colorado; Hawaii; Nevada; New York; Washington State; Jersey City, NJ In addition to your salary, Elevance Health offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the company. The company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws. * The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. Candidates must reside within 50 miles or 1-hour commute each way of a relevant Elevance Health location. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact [email protected] assistance.

Job Description: We are seeking a Sr Algorithm Engineer for a very important client.we are looking for talented team members to help us deliver our advanced computer vision algorithms to tomorrow's intelligent video products Studying industry trends across deep learning and computer vision, we create new ideas and concepts for HDR tone mapping and low light image processing Our team works closely with all members of our high-level software, compiler and SoC design teams, thus our team clearly communicates in both verbal and written form.For this current position, we are looking for an engineer with strong background in image processing or computer vision to join an exciting cross-functional team to deliver the next generation of Companies computer vision processors.You will be:* Developing Deep Learning / Machine Learning methods for HDR tone mapping, image super resolution, image noise reduction, image classification, object recognition, sematic segmentation* Training and optimizing deep learning based computer vision algorithm* Optimizing performance on embedded hardware accelerators* Validating large-scale datasets.#PandoRequirement:The ideal candidate will possess the following qualifications:**COVID vaccination is mandatory***MUST HAVE SoC (System on Chip) experience to be considered! You are a great fit if you have:* PhD/MPhil Degree in Computer Science / Optical Engineering / Computer Engineering / Electronic Engineering / Mechanical Engineering/ Information Technology / Mathematics / Physical or relevant disciplines and 5+ years working experience* Strong programming skills in Python, C/C++. Matlabis a plus* Experience in Image Quality Tuning, Image processing algorithm, and digital imaging* Experience with deep learning and its applications to computer vision or image processing* Experience with advanced data augmentation and sample synthesis* Experience with AI training data distribution analysis, training process optimization and feature reduction* Study advanced convolution neural network architecture, transformer model* Experience in developing or using deep learning frameworks (e.g Tensorflow, Keras, Caffe, PyTorch, ONNX, etc.)The base salary range is $150,000- $250,000 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.PandoLogic. Keywords: Algorithm Engineer, Location: Palo Alto, CA - 94302

Director of Product ManagementPalo Alto, CA - Full-Time, Hybrid855 El Camino Real Palo Alto, California 94301 - (will need to go into the office 2-3 days a week)Reports To: CTO*Very Important to note that this position will have occasional international travel.*MISSION/CORE PURPOSE OF THE JOB:Envision taking your career to the next level as a Director of Product Management working for a leading Silicon Valley data platform and services company. You will be the voice of product and will have the opportunity to see first-hand how the products are changing outcomes for our clients worldwide. You will be challenged with technological and market advances, and your responsibilities include product ownership, innovation, release management, and on time deliveryKEY FUNCTIONS:Product ownership/definition, Release management, Product fact sheet documentation, and key product artifacts creation and updatesImplement and continuously improve project management tools and processes to ensure on time deliveryManage multiple product related projects with various independent tracks with an understanding of the organization's strategies, priorities, and constraintsDefine the scope and overall objectives of the projects, as well as the product increments, while providing leadership and visionEnsure coordination of schedules, deliverables and dependencies with the different project teams and clientsProduce and communicate project KPIs, manage risks and propose mitigation measuresLead and drive implementation of technology projects based on project objectives and business requirements for remote teams in different time zonesEngagement Planning - technical understanding, strategic and API-led mindsetParticipate in defect triage and work with project teams to resolve prioritized defect fixesProduct Roadmaps - work with stakeholders and technical teams to build product roadmapsDemand Management - support processes that encompass evaluation of business needs against the available team capacity specifically assessing the ability of our Organization, Vendors, and Processes to carry out the prioritized activitiesRequirements Gathering - manage processes inclusive of functional, system and architectural requirements following Agile or Waterfall methodologyQuality Assurance - work with product teams and clients to ensure quality standards are metSKILLS/QUALIFICATIONS:Strong understanding of technical and feature requirements gathering with customer focusAbility to learn and adapt to new technologies and market changes and drive innovations into the productPrevious experience working on data fabric/data mesh platforms related to highly scalable analytics, AI, and cloud deployed platform productsPrevious experience coordinating and managing projects across cross-functional teams and across time zonesExperience working with both Waterfall and Agile product development and project management processesUnderstanding of emerging technologies in data processing/analytical/AI platforms and API platformsUniversity degree, preferably in Engineering, Computer Science or Business analyticsMinimum 4 years of platform product development or product management experience or Background building scalable data systems for large organizationMinimum 5 years of project management experience related to platform productsA team player, fostering collaboration and creativity in an open and honest environmentExcellent in collaborating in the delivery of initiatives and the ability to link your expertise with business needs to create valueComfortable working in constantly evolving complex environments and multidisciplinary teamsAn excellent communicator, adept at negotiating, risk management and decision-makerMobilizer, organized and results orientedLOCATION & TRAVEL REQUIREMENTS:This position might require occasional international travel to visit customers and distributed product teamsreq24-00100

Manufacturing output is half of Gross World Product, but 20% of its resources are spent on scrap, rework, and mistakes. Our technology accelerates how the world's best brands bring new products to market by collecting unique data from assembly lines and feeding it to AI-powered software tools to find and fix manufacturing issues. Our mission is to empower teams to build better products, in less time, with less waste. Brands like Bose, Cisco, and SolarEdge use our technology to optimize their manufacturing processes and deliver superior products in less time.Our new Software Team Lead Manager will be a player-coach for a team of experienced edge-device software engineers. Our edge devices are mission critical for our manufacturing customers. They must be highly fault-tolerant to ensure no interruptions to the manufacturing line. The high uptime requirements from our customers means that the Edge Computing team owns the entire software stack for a fleet of worldwide computers and sensors that capture critical manufacturing data - including an operator-facing application (TypeScript, Node.js), a custom operating system (Linux-based), and the networking and infrastructure to support the fleet.In addition to working on the technical details with your team, you'll also partner with other cross-functional leaders on our Engineering, Product, and Operations teams to unlock new manufacturing use cases and industries, simplify device provisioning and updates, and ensure that our systems are robust, reliable, and secure.What You Will Do:People Management: 50% of your time will be helping our software engineers prioritize, be productive, and grow in their technical mastery and careers.Hands-on Engineering: 50% of your time will be engineering work, including periodic production support to resolve customer issues.Edge Computing Roadmap Execution: Partner with the Edge Compute, Product, and R&D teams to plan and execute against the Edge Computing roadmap.Thought Leadership: Represent our Edge Computing software function internally to our teams and leadership and externally to our customers and partners.Continuous Process Improvement: As an engineering manager, you'll be responsible for monitoring and continuously improving the team's velocity, quality, and value delivered to customers.We'd Love to Chat if You Have:Track record of building and shipping production software systems for 5+ years. You're an engineer and a problem solver at the core.5+ years of managing people, including both early-career and seasoned engineers.5+ years leading teams on both customer-facing and technical initiatives. We're looking for candidates that can demonstrate technical mastery but also empower their teams to innovate.A demonstrated passion for understanding and solving customer problems in prior roles - you understand customer use cases and requirements to ensure what you deliver has maximum impact.You can effectively communicate with diverse audiences, including engineers, product, executives, customers, etc.Proficiency in one or more systems programming languages, C, C++, Rust, etc., and a web stack.Proficiency in one or more scripting languages: Python, Bash, etc.Experience developing Linux systems and the associated tools: Buildroot, Yocto, Docker, etc.Bonus Points:Support and maintenance of buildroot-based operating systemNetwork protocols and common topologiesSystem, application, or network securityOTA updates of Linux devicesHardware or manufacturingApplication development using Docker, Node.js and C++ native modules, SQLite, GraphQL, and Angular.This position requires access to items and data that are developed under U.S. government contracts and subject to dissemination controls that limit access to U.S. citizens only. We're a growing team that works collaboratively, supports each other, and is energized by having impact. We value passion and the ability to learn - you're encouraged to apply even if your experience doesn't match the job description precisely!The following is a representative annual base salary range for this position within the Bay Area: $223-243k. Job level and salary opportunities are evaluated through our interview process. Instrumental offers a highly-rated variety of benefits, including health, vision, dental, commuter plans, and parental leave.

We are looking for a AI/ML Engineer to join a small team of ambitious people that are building an AI-powered assistant product in the Palo Alto, CA. We build innovative solutions that aim to amplify the power of our users through intelligent interactions. This position is ideal for a talented expert eager to apply their skills in the production of highly practical tools, advancing our AI Assistant products and solutions through innovative technology. This role is not research-based but rather focused on applying your theoretical knowledge and expertise directly into work going into the product, transforming theory into practice. The output of this position is customer facing and will be in everyday use by those who will come to depend on it.This job requires continuous on-site work in Palo Alto, CAResponsibilities:Develop innovative solutions and models based on Large Language Models and Natural Language Processing to enhance understanding and generation of natural language in our AI Assistant products.Stay on top of the current research in using LLM, and translate complex theoretical ideas into practical solutions for direct product implementations.Collaborate with cross-functional teams, integrating your models into the product pipelineDefine evaluation metrics and monitoring performance, and take those learnings and apply them to optimize the customer experience and improvements in our products.Help define data acquisition, cleaning and exploration approachesQualifications:Bachelor's or Master's degree in Computer Science, Data Science, or relevant field.Minimum of 6 years of commercial experience in Data Science or a related field.Be able to work in person, daily in the office in the Palo Alto areaProven experience with Large Language Models and Natural Language Processing technologies, both API based like OpenAI and open source models.Strong programming skills in Python and familiarity with data science libraries and frameworks.Demonstrated ability to drive product-oriented results in data science.Exceptional problem-solving and analytical skills.Ability to work collaboratively in a team and communicate complex ideas effectively.Strong knowledge of machine learning algorithms, statistical modeling techniques, and application to real-world tasks.Proficiency in handling and manipulating large datasets.