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Remote Senior Machine Learning Engineer Jobs in Santa Clara, CA

Senior Machine Learning Engineer

Mountain View, CA ยท On-site +1

$123K - $169K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for a Senior Machine Learning Engineer to lead the development of these foundational AI systems within the Unity engine, empowering creators to build smarter, more responsive in-game ...

Senior Machine Learning Engineer

San Jose, CA ยท Remote

$229K - $367K/yr

  • Medical

  • Life

  • PTO

We're looking for seasoned engineers with machine learning backgrounds to support this mission. Examples of problems include improving ad relevance, inferring demographics, optimizing yield, and more.

Sr. Lead Machine Learning Engineer

San Jose, CA ยท On-site +1

$120K - $158K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Senior Machine Learning Engineer, Proactive

Santa Clara, CA ยท On-site +1

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

We're looking for a Machine Learning Engineer to help build the next generation of intelligent search and AI experiences technology that understands user intent, context, and personal information ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Machine Learning Engineer

Mountain View, CA ยท On-site +1

$117K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Mountain View, SF/Bay: $117,000 - $152,000 gross USD Bellevue, Seattle, NYC, Remote CA: $104,100 ...

Lead Machine Learning Engineer

San Jose, CA ยท On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Senior Staff Machine Learning Engineer

Mountain View, CA ยท On-site +1

$144K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and remote-sensing data, reinforcement learning for physical control systems, and multi-turn ... Serve as a technical force multiplier across the engineering organization by mentoring senior and ...

Lead Machine Learning Engineer (IC)

San Jose, CA ยท On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

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Showing results 1-20

Remote Senior Machine Learning Engineer information

See Santa Clara, CA salary details

$88.7K

$168.3K

$225.5K

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

As of Aug 12, 2026, the average yearly pay for remote senior machine learning engineer in Santa Clara, CA is $168,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,900.00 and $189,700.00 per year, depending on experience, location, and employer.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

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

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.
What cities near Santa Clara, CA are hiring for Remote Senior Machine Learning Engineer jobs? Cities near Santa Clara, CA with the most Remote Senior Machine Learning Engineer job openings:
Infographic showing various Remote Senior Machine Learning Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $168,287 per year, or $80.9 per hour.

Senior Machine Learning Engineer

Unitytech

Mountain View, CA โ€ข On-site, Remote

$123K - $169K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 2 days ago


Job description

The opportunity

At Unity, we're shaping the future of real-time 3D development by enabling creators to harness intelligent, autonomous systems. Our next-generation agentic AI - goal-directed, adaptive, and capable of reasoning and planning in dynamic environments - is transforming how games and simulations come to life.

We're looking for a Senior Machine Learning Engineer to lead the development of these foundational AI systems within the Unity engine, empowering creators to build smarter, more responsive in-game agents and simulations. Your work will directly drive innovation, allowing developers and designers to integrate sophisticated AI behavior seamlessly into their worlds.

This role is perfect for someone passionate about pushing the boundaries of AI, multi-agent systems, reinforcement learning, and intelligent decision-making in complex, real-time environments.

What you'll be doing

* Design, implement, and scale AI agent systems in Unity environments that enable goal-directed behavior, task planning and execution, and environment-aware decision-making.

* Develop reusable agentic frameworks - such as planning modules, memory systems or policy adaptation layers - that creators can extend in their own projects.

* Develop AI models for the Unity AI agentic system. The AI models perform various tasks for building Unity games.

* Integrate Machine Learning models seamlessly within real-time game engine constraints, optimizing for latency, compute, and determinism.

* Lead high-impact initiatives, including hierarchical reinforcement learning for scalable behaviors, AI planning and goal inference frameworks for NPCs and simulations, and agent memory and world modeling systems for persistent, believable behavior.

* Collaborate across internal and external teams to unlock innovative use cases in gaming, simulation, and interactive storytelling.

* Contribute to the long-term vision and roadmap for Unity's agentic AI offerings, ensuring modularity, usability, and performance across platforms.

* Establish and champion best practices for model quality, simulation-based evaluation, and ML/AI safety within real-time systems.

* Mentor engineers and researchers while cultivating a technical culture of innovation, excellence, and collaboration.

What we're looking for

* Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Robotics, or a related field-or equivalent practical experience.

* 5+ years of hands-on experience developing ML systems in production, ideally within real-time or interactive environments.

* Strong background in one or more of the following: reinforcement learning, fine-tuning, decision-making under uncertainty, AI planning, or multi-agent systems.

Gross pay annually: 210 300.00 USD - 273 400.00 USD


This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate's relevant experience, professional background, and skill set.


Benefits


At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.


Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.


While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program


Life at Unity


Unity [NYSE: U] is the world's leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D - closing the gap between ideas and reality. For more information, please visit www.unity.com.


Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.


Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.


Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.


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