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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
Health at Scale is the market leader in precision health -- digital health programs that offer smart, hyper-personalized insights to help individuals choose the best providers, treatments, care settings and lifestyle choices for their unique healthcare needs. Founded by leading machine learning and clinical faculty from MIT, Stanford, Harvard and the University of Michigan, we work with some of the largest payers, employers and providers in the U.S. to improve outcomes, costs, access, and equity for their members. Health at Scale operates some of the largest deployments of AI in healthcare to date, covering millions of lives in production settings. We have been recognized for our innovation and as one of the fastest growing private companies by Forbes, Fast Company, Inc 500, UCSF Digital Health, Becker's, TechCrunch, Bloomberg and MIT News. For more information, please visit our website .
As a senior machine learning engineer at Health at Scale, you will work with an exceptional team of engineers, scientists, and clinicians to design, engineer, test, deploy and maintain machine intelligence platforms and applications for real-world production use. You will iterate and improve upon the machine intelligence technologies in each of our products. You will be the point person for translating machine learning innovations into impactful products with new customers and transforming leading-edge ideas into production-ready, real-time solutions that will serve millions of users.
Responsibilities Design, engineer, test, deploy and maintain machine intelligence platforms and applications for real-world production use at scale
Improve the accuracy, runtime, scalability and reliability of machine intelligence algorithms and software
Develop and implement machine intelligence platform APIs for multiple use-cases
Drive architecture of platform and application capabilities embedding machine intelligence
Develop prototyped solutions and translate leading-edge ideas into production-ready systems
Ensure seamless interactions between data pipelines and machine learning pipelines in development and production environments
Requirements BS, MS or PhD in Computer Science or related technical field
2+ years of full-time industry employment building and scaling end-to-end ML pipelines for production and working with large, real-world datasets
Strong understanding of the foundational concepts of machine learning and artificial intelligence
Strong proficiency in Python (preferred), Java, or C/C++
Proven experience in evaluating, debugging, and improving ML models
Proficiency in writing unit tests and using automated testing tools
Excellent communication skills
$180,000 - $260,000 a year The starting base pay for this role is between $180,000-$260,000. The actual base pay is dependent upon many factors, such as relevant education, training, certifications, job-related skills, experience, qualifications, business needs, market demands and specific location. The total compensation package for this position may also include eligibility for annual discretionary bonus, equity and benefits (including medical, dental, vision). Note: The base pay range is subject to change and may be modified in the future. Health at Scale compensation, equity and benefit programs are subject to eligibility requirements and other terms of the applicable plan or program. Health at Scale is an equal opportunity employer and is committed to diversity in its hiring and business practices. To all recruitment agencies: Health at Scale does not accept agency resumes. Please do not forward resumes to this job alias, company employees or any organization location. Health at Scale is not responsible for any fees related to unsolicited resumes.
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Email Alert for Senior Machine Learning Engineer jobs in Palo Alto, CA, United States
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