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Software Development Engineer - Amazon Publisher Service, APS Mobile & Web
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Staff Systems Integration Engineer
Cepheid, Palo Alto
At Cepheid, we are passionate about improving health care through fast, accurate diagnostic testing. Our mission drives us, every moment of every day, as we develop scalable, groundbreaking solutions to solve the world's most complex health challenges. Our associates are involved in every stage of molecular diagnostics, from ideation to development and delivery of testing advancements that improve patient outcomes across a range of settings. As a member of our team, you can make an immediate, measurable impact on a global scale, within an environment that fosters career growth and development.Cepheid is proud to work alongside a community of six fellow Danaher Diagnostics companies. Together, we're working at the pace of change on diagnostic tools that address the world's biggest health challenges, driven by knowing that behind every test there is a patient waiting.Learn about the Danaher Business System which makes everything possible.The Staff Systems Integration Engineer is responsible for working developing and progressing the system integration strategy for the Systems Engineering team. In this role, you will be the systems integration lead on projects. The individual will develop new test methods, lead troubleshooting, and perform failure Investigations to support ongoing design and development efforts across Cepheid's diagnostic platforms. This role is ideal for an individual who enjoys solving complex technical problems and believes in our mission of delivering a better way to improve patient outcomes by enabling access to molecular diagnostic testing everywhere. 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We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve.Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.The EEO posters are available here.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] to request accommodation.
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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. 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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. 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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.
Principal Optical Engineer
Cepheid, Palo Alto
At Cepheid, we are passionate about improving health care through fast, accurate diagnostic testing. Our mission drives us, every moment of every day, as we develop scalable, groundbreaking solutions to solve the world's most complex health challenges. Our associates are involved in every stage of molecular diagnostics, from ideation to development and delivery of testing advancements that improve patient outcomes across a range of settings. As a member of our team, you can make an immediate, measurable impact on a global scale, within an environment that fosters career growth and development.Cepheid is proud to work alongside a community of six fellow Danaher Diagnostics companies. Together, we're working at the pace of change on diagnostic tools that address the world's biggest health challenges, driven by knowing that behind every test there is a patient waiting.Learn about the Danaher Business System which makes everything possible.The Principal Optical Engineer is responsible for opto-electronic components and systems that drive significant impact to the organization. Within Engineering R&D there are opportunities to learn about our technology and develop your skills in analysis and modeling.This position is part of the Engineering R&D organization, Optics team member, and will be in in Sunnyvale, CA with full time and some remote work as appropriate for the position and timing. At Cepheid, our vision is to be the leading provider of seamlessly connected diagnostic solutions.In this role, you will have the opportunity to:Work on engineering designs for current and future systemsDevelop a deep system level understanding of qPCR.Work on Sustaining projectsEvaluate optical systems for improvements.Understand FDA requirements.The essential requirements of the job include:Degree in Optics, EE, Physics, Fluidics or related disciplinesPrefer MS minimum or Ph.D.Ability to collaborate, learn, evaluate, analyze, and implement solutions.Strong skills in component and subsystem testing via automated measurements.Min. 5 years experiences with opto-electronics systems, and knowledge of fluorescence processes, molecular biochemistry, biomed materials and processing, optical elements sourcing, and fabrication, and PCR fundamentals. It would be a plus if you also possess previous experience in:ZemaxSolid WorksMS productsAgileCepheid, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at danaherbenefitsinfo.com.The salary range for this role is $200,000 to $220.000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future.This job is also eligible for annual bonus/incentive pay of 15% of the base.We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. 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.At Danaher we bring together science, technology and operational capabilities to accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. Our global teams are pioneering what's next across Life Sciences, Diagnostics, Biotechnology and beyond. For more information, visit www.danaher.com.Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.The EEO posters are available here.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] to request accommodation.
Software Engineer (379548)
Placement Services USA, Inc., Palo Alto, CA, US
Will develop software to represent and map customer workloads and algorithms to custom hardware including but not limited to advanced programming in domain-specific language (TensorFlow, Caffe, etc.) using various software libraries and programming aids specific to that language; create dummy data sets used to train and exercise the model; debug the model created in that language; modify the model as necessary to reflect expected or projected customer usage; and map the model onto company developed hardware and use company developed compilation tools; develop software tools to measure and optimize performance of the software and hardware system by using code profiling tools such as GProf or other similar tools.A Master's degree in Computer Science or Electrical Engineering and Computer Sciences or Electrical and Computer Engineering or Electrical Engineering (Machine Learning and Data Science) or Computer Science and Engineering is required.Please copy and paste your resume in the email body do not send attachments, we cannot open them and email them at candidates at placementservicesusa.com with reference #379548 in the subject line.Thank you.
Software Engineer (379552)
Placement Services USA, Inc., Palo Alto, CA, US
Create performance optimized kernels for company’s machine learning template library; engage in hardware-software codesign cross-team reviews and drive product-impacting features; map ML applications and operations to company’s remote data unit hardware architecture for functionality and full end-to-end performance; maintain/optimize memory access patterns for various machine learning models; engineer new testing infra to scale hardware architectural level MP OP testing; develop, maintain testing suites for achieving on-chip ML OP functionality robustness; triage/debug customer facing models regarding memory access mapping and implementation problems; engage and plan for company load/ store template roadmap; collaborate across company’s compiler teams and drive/bringup new features.A Bachelor's degree in Electrical Engineering & Computer Science or Computer Science or Computer Engineering or Electrical and Computer Engineering or Computer Science and Engineering or a related field or major is required.Please copy and paste your resume in the email body do not send attachments, we cannot open them and email them at candidates at placementservicesusa.com with reference #379552 in the subject line.Thank you.
Senior Software Engineer (379551)
Placement Services USA, Inc., Palo Alto, CA, US
Will be designing, developing, optimizing, debugging, testing, and deploying complex software models for mathematical, scientific, engineering, and artificial intelligence applications on company's hardware/software platform; collaborating with customers to comprehend their requirements and optimize their applications at multiple levels (algorithms, kernels, compilers) for efficient execution on company DataScale systems; collaborating with hardware design teams to influence the development of future-generation architectures; acquiring hands-on knowledge of designing intricate models for real-world applications on emerging AI systems, this includes utilizing observation methods, engaging in guided research, and exploring novel ML and High Performance Computing models; developing proficiency in software performance tuning, accuracy debugging, code scalability, and detailed documentation writing.A Doctorate Degree in Computer Science or Computer Engineering or Computer Science and Engineering or a related field or major is required.Please copy and paste your resume in the email body do not send attachments, we cannot open them and email them at candidates at placementservicesusa.com with reference #379551 in the subject line.Thank you.
Machine Learning Engineer
SHEIN Technology LLC, Palo Alto
Job Title: Machine Learning Engineer IReports to: AI Department HeadJob Location: Palo Alto, CAJob Status: Exempt, FTAbout SHEIN:SHEIN is a global fashion and lifestyle e-retailer committed to making the beauty of fashion accessible to all. We use on-demand manufacturing technology to connect suppliers to our agile supply chain, reducing inventory waste and enabling us to deliver a variety of affordable products to customers around the world. From our global offices, we reach customers in more than 150 countries.Founded in 2012, SHEIN has nearly 10,000 employees operating from offices around the world, with U.S. Headquarters located in Los Angeles and Global Headquarters located in Singapore. In SHEIN, we work with outstanding, creative, and capable peers. We share an energetic and open culture for capable people to discern, work and ignite as a team.Position Summary:The SHEIN AI Team leverages advanced AI technologies, including NLP, image processing, and deep learning, to boost global e-commerce and supply chain efficiency. Our expertise encompasses AI-powered search, recommendations, and smart supply chain management. Committed to innovation, we're exploring the latest in AI and big data. Joining us offers a chance to collaborate with top AI professionals, uncover new tech insights, and impact various sectors significantly.Our company is at the forefront of leveraging advanced computer vision (CV) technologies within the realm of product review, which stands as one of our cornerstone capabilities. This role involves using CV to identify and mitigate any instances of copyright infringement, sensitive material, discriminatory content, or anything that may be deemed uncomfortable for our audience. Additionally, you may also apply CV methodologies to enhance studio operations and accelerate the production cycle in the fast-paced world of fashion. By joining our team, you will contribute to one of our key production projects, playing a pivotal role in maintaining our commitment to quality and innovation.Job Responsibilities:? Develop the system of product review.? Work on product image counterfeit detection modeling.? Work on sensitive logo/pattern detection from the product image.? Work on end to end machine learning model training and system.? Develop key metrics to track the performance and collaborate with the engineering team, user experience team to meet the business goals.? Participate in the full development cycle: design, develop, deploy, experiment and analysisJob Requirements:? Master's degree or above (Ph.D. preferred) in Computer Science or related fields; 3+ years (or 1+ year with PhD degree) of professional experience in developing Computer Vision models? Proficient in at least one or more of the programming languages such as C++, Python? Familiar with one or more of the following concepts - deep learning, NLP, computer vision modeling? 3+ years (or 1+ year with PhD degree) of professional experience in developing ML modelsPay: $135,600.00 min. - $235,300.00 max annually, Bonus & RSU offered.SHEIN Benefits and Culture:Healthcare (medical, dental, vision, prescription drugs)Health Savings Account with Employer FundingFlexible Spending Accounts (Healthcare and Dependent care)Company-Paid Basic Life/AD&D insuranceCompany-Paid Short-Term and Long-Term DisabilityVoluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident)Employee Assistance ProgramBusiness Travel Accident Insurance401(k) savings plan with discretionary company match and access to a financial advisorVacation, Paid holidays, sick days, and a floating holidayEmployee DiscountsPerks (HQ Location)Free weekly catered lunch at HQDog-Friendly officeFree Gym Access at HQFree Swag GiveawaysAnnual Holiday PartyInvitations to pop-ups and other company eventsComplimentary daily office snacks and beveragesFree Shuttle Service from HQ to LA Union StationPerks (HQ Location):Free weekly catered lunch at HQDog-Friendly officeFree Gym Access at HQFree Swag GiveawaysAnnual Holiday PartyInvitations to pop-ups and other company eventsComplimentary daily office snacks and beveragesFree Shuttle Service from HQ to LA Union StationSHEIN Technology is an equal opportunity employer committed to a diverse workplace environment.
Electrical Engineer
Kforce Inc, Palo Alto
RESPONSIBILITIES:Kforce has a client in Palo Alto, CA that is seeking an Electrical Engineer.Responsibilities: Design and Perform calculations for HV, MV and LV electrical systems for manufacturing infrastructure and building projects, including Power Distribution Systems, Lighting, Operational Controls and Alarms and Grounding Systems Prepare and review drawings and construction/procurement specifications, collaborate with estimating team members in preparation of equipment and construction estimates to a sufficient level of ROM accuracy Collaborate with end users to gather inputs, host meetings, take notes and be a part of cross functional collaborationExperience in: Main Power Distribution plantwide through engineered solutions of infrastructure and equipment Motor control centers (including Layouts, Transformer specification and sizing, Automatic Transfer Switch Specification and Sizing, Bus sizing and AIC calculations for ratings; Breaker Sizing and Single Line Diagram preparations) Design of Control systems including Ladder diagrams Sizing Conductors and Conduit and Layouts/Routings for maximum efficiency and minimized cost Designs and layouts of ductbanks, pullboxes, cabling deration for Underground Distribution Systems Preparation of point-to-point wiring diagramsREQUIREMENTS: Bachelor's degree in Electrical Engineering, concentration in Power/Infrastructure/Construction from an ABET accredited Engineering Program Master's degree in Electrical Engineering (Power) preferred Professional Engineer (PE) preferred - must have passed the EIT and take the PE within 6 months of joining 4-5 years of industry experience employed by recognized electrical or MEP multi-discipline consulting engineering firms executing projects in a highly visible, high-technology manufacturing environment Experience in reviewing engineering data submittals and shop drawings; Preparation of responses to contractors' RFI's; Creating effective punch lists based on field observations Knowledge of ACAD, Revit, ETAP Proficiency in applying the NEC and related NFPA Codes and regulations adopted by the AHJ in the areas of project work Knowledge of electrical testing and verification requirements including NETA, ANSI/IEEE, UL, CSA, and other approved NRTL's Experience designing and deploying/troubleshooting systems with PLC's, DCS's, and SCADA platforms Proficiency utilizing electrical and mechanical engineering theories and best practices to follow company policies, procedures and quality/safety standards Proficiency using the Microsoft Suite of platforms - Word, Excel, PowerPoint, Outlook and Bluebeam 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.