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Axiad Ids, Inc.
Santa Clara, CA, United States
Senior Machine Learning Engineer / Machine Learning Architect Axiad is looking for an experienced Senior ML Engineer to join our cloud product team. Do you have a passion for ML and AI and building the future of identity? Do you enjoy exploring building and deploying new and evolving models for novel applications ? Would you like to be
Job Source: Axiad Ids, Inc.Apple Inc.
Cupertino, CA, United States
Do you have a passion for building the best photo app experience in the world? iPhone is the most popular camera in the world! Seamless integration of software and hardware has delivered magnificent experiences like Photos Memories and Portrait Mode. The Camera & Photos team develops privacy-respecting machine learning technologies to ship emotiona
Job Source: Apple Inc.Hume AI Inc
San Jose, CA, United States
Hume AI is seeking a talented software engineer with experience in backend web services and ML infrastructure to advance our core mission: using the world’s most advanced technology for emotion understanding to build empathy and goal-alignment into AI. Join us in the heart of New York City, or wherever you are located, and contribute to our endeav
Job Source: Hume AI IncPHC Global
Palo Alto, CA, United States
Introducing The Public Health Company (PHC), a category-creating enterprise developing the world's first scalable biosecurity platform. Backed by Venrock, The General Partnership, and Verily Life Sciences, PHC empowers organizations to proactively manage bio-risk incidents through global forecasting, risk analysis, and practical guidance. Through
Job Source: PHC GlobalArio
Palo Alto, CA, United States
What we’re building You generate enormous amounts of personal data when you use the internet. Every song you’ve ever listened to, every comment you’ve ever made on social media, and every purchase you’ve made – these and millions of other such “digital fingerprints” are actually stored somewhere online. Such data is extremely powerful and could mak
Job Source: ArioLily AI
Mountain View, CA, United States
About Lily AI: Lily AI is a female-founded retail AI company empowering retailers and brands by bridging the gap between merchant-speak and customer-speak. Leveraging computer vision, natural language processing, machine learning, and vertical-specific large language models (LLMs), Lily AI enhances customer shopping experiences by injecting consum
Job Source: Lily AIPayPal
San Jose, CA, United States
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure. Job Description Summary: PayPal is seeking a talented Machine Learning Scientist join our Global Machine Learning tea
Job Source: PayPalAppLab Systems Inc
Sunnyvale, CA, United States
Senior Machine Learning Engineer Location: Sunnyvale CA (Onsite) Fulltime/W2 contracting (no C2C-third party payroll) Machine Learning - Job Description: Screening form will be provided shortly. 6-8 years of experience in machine learning and computer vision, with a proven track record in image processing and analysis. development and optimization
Job Source: AppLab Systems IncPalo Alto, CA, United States
Imagine writing software with no debugger, no logging, and only getting to compile it three times before you need to ship millions of copies. That's what building electronics products is like for hardware, quality, and process engineers. As a result of this data- and insight-poor environment, companies waste significant time, money, and material. Instrumental's manufacturing AI and data platform solves this problem for the most admired hardware companies in the world.
Instrumental’s mission is to drive manufacturing efficiencies through technology that empowers teams to build products better, faster, and with less waste. Brands like Meta, Bose, Cisco, and SolarEdge use our technology to optimize their manufacturing processes and deliver superior products in less time. We start by collecting data that no one else can; then we use machine learning and visualizations to automatically identify defects and help companies understand their assembly processes. As a result, product and process problems are caught and solved earlier, before they create delays and cost millions.
We are :70 people – a small but mighty team. We value an inclusive environment and actively work to promote diversity in our team. If you are looking for a place to collaborate with a mission-oriented team to deliver an outsized impact on the manufacturing industry, we’d love to hear from you!
About The Role
We’re seeking a highly customer-centric Senior ML Engineer who will join our cross-functional engineering team. You’ll be responsible for working with our talented engineers to build and maintain a highly scalable end-to-end ML production pipeline. The role requires a mix of research and productization responsibilities, both delivered in a rapid, iterative clip.
What You’ll Do
Build and own machine learning pipelines end-to-end! For us, this means:
Maintain an obsessive focus on delivering value to our customers.
Maintain ownership of ML pipelines, all the way to surfacing the features to customers, and measuring their impact
Partner closely with the entire R&D organization, working in a highly collaborative environment where you’ll be exposed to the entire scope of a deliverable rather than just the ML portion of the project.
Quickly prototype and iterate on new algorithmic concepts, and prioritize them based on customer needs.
Develop and deploy large-scale ML systems using the relevant state-of-the-art AI approaches to solve the problem
Guide efforts to acquire high-quality datasets
Manage and improve the ML pipeline, from data management, model management, and resource scheduling
What you’ll need to be successful
Proven experience delivering ML features from research to production with a preference for candidates with an exposure to application development.
At least 3 years of delivering production systems in Python, Java or Scala
Start-up or equivalent experience where you demonstrate strong attention to detail and ownership balanced with a scrappy, get-stuff-done, mentality
3+ years of machine learning research and development experience; professional use of deep learning or computer vision is a bonus!
You have a computer science or related background with solid fundamentals in algorithms and the math behind them
Feel at home communicating research and other complex ideas to a broad swath of the company including engineers and non-engineers
We’re a growing team that works collaboratively, is supportive of each other, and is highly energized by the opportunity for a large impact. We actively work to promote an inclusive environment, valuing passion and the ability to learn. You’re encouraged to apply even if your experience doesn’t precisely match the job description!
The following is a representative annual base salary range for this position within the Bay Area: $183,000 - $199,000. Job level and salary opportunities are evaluated through our interview process – we review the experience, knowledge, skills, and abilities of each applicant.
Instrumental is proud to offer a highly-rated variety of benefits, including health, vision, dental, commuter plans, and parental leave.
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Email Alert for Senior Machine Learning Engineer jobs in Palo Alto, CA, United States
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