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Senior Machine Learning Software Engineer Jobs in Mountain View, CA

Senior Machine Learning Engineer At EvenUp, we leverage cutting-edge AI to bring fairness and ... Strong software engineering fundamentals - Python, distributed systems, API design. * Experience ...

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

As part of our team, you will be leveraging and improving upon the latest advancements in machine learning and software engineering to understand user queries and intents, retrieve and rank documents ...

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$140K - $185K/yr

As a Senior Machine Learning Engineer on this team you will be responsible for helping to design ... Required: • Masters of science degree in Software Engineering. • Experience in designing ...

As a Senior Machine Learning Engineer on this team you will be responsible for helping to design ... Required: · Masters of science degree in Software Engineering. · Experience in designing ...

Senior Machine Learning Engineer

San Mateo, CA · On-site

$119K - $163K/yr

Senior Machine Learning Engineer Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC The ... Partner with product, data scientists, and software engineers to define and ship ML solutions.

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

As such, we are seeking candidates with applied machine learning experience and strong software engineering skills. Description Leverage and enhance the latest advancements in machine learning and ...

Showing results 21-40

Senior Machine Learning Software Engineer information

See Mountain View, CA salary details

$89.1K

$169K

$226.5K

How much do senior machine learning software engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior machine learning software engineer in Mountain View, CA is $169,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,500.00 and $190,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Machine Learning Software Engineer vs Data Scientist?

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are the key skills and qualifications needed to thrive as a senior machine learning software engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Mountain View, CA? The most popular types of Machine Learning Software Engineer jobs in Mountain View, CA are:
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What cities near Mountain View, CA are hiring for Senior Machine Learning Software Engineer jobs? Cities near Mountain View, CA with the most Senior Machine Learning Software Engineer job openings:
Infographic showing various Senior Machine Learning Software Engineer job openings in Mountain View, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $169,038 per year, or $81.3 per hour.

Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

$123K - $169K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted yesterday


Job description

Job Description

Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

As the Senior Machine Learning Engineer, you are an independent owner of critical Machine Learning (ML) subsystems in production.  You take ambiguous problems, design practical solutions, and ship systems that operate reliably at scale.  This is a hands-on, high-impact role focused on depth.  This position is 100% Remote.

Senior Machine Learning Engineer Responsibilities:

- Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product.

- Own work end-to-end: data preparation, training, evaluation, inference, and iteration.

- Turn research ideas into working systems that run reliably in production.

- Debug model failures and system issues using real production signals.

- Iterate quickly: ship, measure outcomes, refine, and repeat.

- Collaborate closely with research, product, and engineering to deliver real user impact.

- Mentor and review work from other Machine Learning (ML) engineers through example and technical judgment.

- Work under real production constraints: latency, cost, reliability, and safety

Senior Machine Learning Engineer Outcomes:

- Machine Learning (ML) models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets.

- Complex production issues are monitored, debugged, and resolved with minimal disruption.

- Training, inference, and data pipelines are robust, scalable, and maintainable over time.

- Drive measurable improvements in Machine Learning (ML) systems based on real-world signals and user feedback.

- Provide mentorship and technical guidance to peers, raising the overall ML engineering standard.

- Collaborate cross-functionally to ensure Machine Learning (ML) features integrate seamlessly into products and meet business goals.

Qualifications

Senior Machine Learning Engineer Qualifications:

- Experience building and shipping Machine Learning (ML) systems used by real users.

- Artificial Intelligence (AI) experience required.

- Experience understanding how modern Machine Learning (ML) models behave and misbehave in production.

- Experience writing strong, production-quality code and think in systems, not scripts.

- Experience taking ownership, work independently, and push work across the finish line.

- You learn fast, communicate clearly, and improve through iteration.

- Tech Stack:  GPU-based training and inference systems, JAX, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Senior Machine Learning Engineer, AI, Artificial Intelligence, Engineering, GPU, JAX, Machine Learning, Python, PyTorch, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

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Additional Information

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