Mid Level Sr Staff Machine Learning Engineer Jobs
Mid level sr staff machine learning engineer jobs go to engineers ready to own model pipelines end to end, make architectural decisions with limited oversight, and raise the technical bar for junior teammates. Roles are spread across on-site, hybrid, and remote settings in Technology & Software, Electronics & Hardware, and Artificial Intelligence, with employers like Scale AI, GEICO, and Apple hiring at this level now.
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Showing 5 of 47+ Mid Level Sr Staff Machine Learning Engineer jobs
INTRODUCTION
Lead the Team Building the Future of Machine Learning Infrastructure in Ad Tech - Private Equity Backed. This is an opportunity to join a business at a major inflection point. The organization is investing heavily in rebuilding key areas of its technology function and intentionally building a team of experienced technical leaders who can drive long-term impact.
ROLE AND RESPONSIBILITIES
As a Staff ML Engineer within the data infrastructure organization, you will be responsible for shaping and scaling machine learning systems across the business. You will help design the infrastructure, tooling, and architectures that take models from experimentation through production, enabling machine learning capabilities to operate reliably at scale. The environment is fast-paced and best suited for individuals who thrive in high-ownership settings, communicate well, and enjoy building within evolving organizations.
BASIC QUALIFICATIONS
Experience within ad tech, large-scale data environments, recommendation systems, ML infrastructure, or similarly data-intensive businesses is highly valued. If you enjoy building the systems and infrastructure that enable machine learning to create measurable business impact, let’s talk. No up-to-date resume required.
INTRODUCTION
Lead the Team Building the Future of Machine Learning Infrastructure in Ad Tech - Private Equity Backed. This is an opportunity to join a business at a major inflection point. The organization is investing heavily in rebuilding key areas of its technology function and intentionally building a team of experienced technical leaders who can drive long-term impact.
ROLE AND RESPONSIBILITIES
As a Staff ML Engineer within the data infrastructure organization, you will be responsible for shaping and scaling machine learning systems across the business. You will help design the infrastructure, tooling, and architectures that take models from experimentation through production, enabling machine learning capabilities to operate reliably at scale. The environment is fast-paced and best suited for individuals who thrive in high-ownership settings, communicate well, and enjoy building within evolving organizations.
BASIC QUALIFICATIONS
Experience within ad tech, large-scale data environments, recommendation systems, ML infrastructure, or similarly data-intensive businesses is highly valued. If you enjoy building the systems and infrastructure that enable machine learning to create measurable business impact, let’s talk. No up-to-date resume required.
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Find JobsMid Level Sr Staff Machine Learning Engineer Job Market
Who's Hiring
- Scale AI11
- GEICO4
- Apple3
- Rivian3
- Omnissa2
Top Industries Hiring
- Technology & Software23
- Electronics & Hardware7
- Artificial Intelligence7
- Insurance4
- Automotive3
Mid Level Sr Staff Machine Learning Engineer Jobs: Frequently Asked Questions
How do I get a mid level sr staff machine learning engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you drove the ML solution from problem framing through production deployment, not just experiments you ran. Emphasize decisions you made independently, trade-offs you documented, and any mentoring you did. Applications that show concrete system impact, such as latency improvements, accuracy gains, or cost reductions, stand out far more than a list of tools used.
Which companies hire mid level sr staff machine learning engineers?
Companies hiring mid level sr staff machine learning engineers right now include Scale AI, GEICO, and Apple, based on current listings on Migrate Mate as of August 2026. Hiring at this level comes from a wide range of employers, from large technology platforms and financial services firms to growth-stage startups that need engineers who can ship and iterate without heavy supervision.
Are there remote mid level sr staff machine learning engineer jobs?
Yes, remote and hybrid options are common at this level. About 24% of mid level sr staff machine learning engineer openings are remote or hybrid as of August 2026, reflecting how broadly distributed ML teams have become. Engineers with strong async communication habits and experience working across time zones tend to be most competitive for fully remote positions.
How do I move up to a mid level sr staff machine learning engineer role?
The move from entry level to mid level is about deepening ownership over time. Early in your career, focus on shipping complete features rather than isolated tasks, volunteering to lead small projects, and building comfort with production systems, not just notebooks. Demonstrating measurable outcomes, reviewing others' code, and taking on cross-functional work with product or data teams signals readiness for the scope mid level roles require.
Which industries hire the most mid level sr staff machine learning engineers?
Mid Level sr staff machine learning engineer roles concentrate in Technology & Software, Electronics & Hardware, and Artificial Intelligence, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring because they sit on large proprietary datasets and need engineers who can turn that data into production models that improve products, reduce costs, or create new revenue streams.