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Manager Remote Machine Learning Engineer Jobs in Santa Clara, CA

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Manager Remote Machine Learning Engineer information

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$35.8K

$80.6K

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

As of Aug 19, 2026, the average yearly pay for manager remote machine learning engineer in Santa Clara, CA is $80,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $87,500.00 per year, depending on experience, location, and employer.

What is a manager remote machine learning engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

How does a manager remote machine learning engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.

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

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

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

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

Can a manager remote machine learning engineer work remotely?

Yes, a manager remote machine learning engineer can work remotely, as many companies offer remote positions for this role. Success in remote work often depends on strong communication skills, familiarity with collaboration tools, and the ability to manage projects independently.

What are the most commonly searched types of Remote Machine Learning Engineer jobs in Santa Clara, CA?

The most popular types of Remote Machine Learning Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Manager Remote Machine Learning Engineer jobs?

Cities near Santa Clara, CA with the most Manager Remote Machine Learning Engineer job openings:

Director, Machine Learning - User Value

Unitytech

Mountain View, CA โ€ข On-site, Remote

$250K - $325K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted yesterday


Job description

The opportunity

Unity Vector represents the next generation of our AI-powered advertising ecosystem-a forward-looking evolution of our machine learning infrastructure and models. We are seeking a visionary Director of Machine Learning to lead our User Value team, a group at the heart of Unity's ambitious machine learning modeling initiatives.

As a leader, you will bridge the gap between complex machine learning paradigms and core product strategy. You will manage and scale a high-performing organization of scientists and ML engineers, ensuring our models translate into high-value user acquisition for advertisers.

What You'll Do

  • Shape the ML Vision: Define 1-3 year technical roadmap for user value modeling, aligning algorithmic capabilities with product and business growth goals.

  • Lead and Scale Teams: Mentor, recruit, and retain a team of applied scientists and machine learning engineers. Foster a culture of technical excellence, continuous learning, and rapid experimentation.

  • Drive Product Impact: Partner closely with leadership in Product, Design, and Data Science to identify new opportunities where ML can solve customer pain points and unlock tangible value.

  • Advance the Technical Stack: Oversee the development, deployment, and maintenance of scalable ML systems-spanning personalization, content recommendation, multi-task learning, reinforcement learning, and large language model (LLM) integration-ensuring high availability and low latency.

  • Balance Innovation and Execution: Establish rigorous frameworks for A/B testing, model evaluation, and guardrails to ensure algorithmic changes measurably improve customer trust and retention without introducing regression.

What We're Looking For

  • Proven Leadership: 8+ years of experience in machine learning and software engineering, with 4+ years of experience managing teams

  • Domain Expertise: A strong track record of shipping ML systems at scale, specifically in areas like personalization, recommendation system, information retrieval, or behavioral modeling.

  • Product-Minded Engineering: A deep understanding of how technical ML metrics (e.g., accuracy, NDCG, precision-recall) connect to macro user and business metrics (e.g., retention, lifetime value).

  • Strategic Communication: Ability to articulate complex technical concepts clearly to non-technical executives and cross-functional partners.

  • Technical Foundations: An advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience.

Gross pay annually, Mountain View, SF/Bay: $250,300 - $325,400

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.


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.
This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law.


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