Mid Level Machine Learning Jobs
Mid level machine learning jobs go to engineers ready to own model development end to end, make architectural decisions with limited oversight, and guide junior teammates through production challenges. Openings run across 37% remote and hybrid settings in Technology & Software, Electronics & Hardware, and Banking & Financial Services, with employers like Apple, General Motors, and Scale AI hiring at this level now.
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Showing 5 of 277+ Mid Level Machine Learning jobs
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 Staff Machine Learning Engineer to join our Vector Ads Modeling team. In this role, you will work with a high-performing high-impact team to advance ads recommendation algorithms to deliver personalized ads experience.
What you’ll be doing
- Identity opportunities and design modeling roadmap that addresses customer needs.
- Drive foundational research for new models and paradigms.
- Leverage rich user data and large-scale compute to validate models rapidly.
- Collaborate closely with engineering and product teams to productionalize research.
What we’re looking for
- Expertise: Hands-on experience applying state-of-the-art machine learning and deep learning models to complex real-world problems, specifically in the domains of user behavior modeling. Proficiency in Python, Pytorch and deep learning frameworks.
- Data & Analytics: Solid understanding of metric design, large-scale data analysis, and distributed computing frameworks.
- Strategic Impact: Proven ability to drive projects end-to-end, solving critical cross-team problems and delivering measurable business results.
Additional information
Gross Annual Salary: 172,200 - $283,900 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.
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.
Headhunters and recruitment agencies may not submit resumes/CVs through this website 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.
Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
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 Staff Machine Learning Engineer to join our Vector Ads Modeling team. In this role, you will work with a high-performing high-impact team to advance ads recommendation algorithms to deliver personalized ads experience.
What you’ll be doing
- Identity opportunities and design modeling roadmap that addresses customer needs.
- Drive foundational research for new models and paradigms.
- Leverage rich user data and large-scale compute to validate models rapidly.
- Collaborate closely with engineering and product teams to productionalize research.
What we’re looking for
- Expertise: Hands-on experience applying state-of-the-art machine learning and deep learning models to complex real-world problems, specifically in the domains of user behavior modeling. Proficiency in Python, Pytorch and deep learning frameworks.
- Data & Analytics: Solid understanding of metric design, large-scale data analysis, and distributed computing frameworks.
- Strategic Impact: Proven ability to drive projects end-to-end, solving critical cross-team problems and delivering measurable business results.
Additional information
Gross Annual Salary: 172,200 - $283,900 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.
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.
Headhunters and recruitment agencies may not submit resumes/CVs through this website 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.
Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
See All 277+ Mid Level Machine Learning Jobs
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Find JobsMid Level Machine Learning Job Market
Who's Hiring
- Apple23
- General Motors14
- Scale AI13
- Nuro8
- Jobot8
Top Industries Hiring
- Technology & Software134
- Electronics & Hardware45
- Banking & Financial Services24
- Automotive21
- Artificial Intelligence17
Mid Level Machine Learning Jobs: Frequently Asked Questions
How do I get a mid level machine learning job?
Position yourself around ownership, not just contribution. Highlight projects where you drove a model from research through deployment, made design trade-offs, and measured real-world impact. Tailor your resume to show depth in a specific area, such as NLP, computer vision, or recommendation systems, and demonstrate that you can operate with limited day-to-day direction. That combination is what mid level hiring managers screen for.
Which companies hire mid level machine learnings?
Companies hiring mid level machine learnings right now include Apple, General Motors, and Scale AI, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide range of organizations, including established tech companies, growth-stage startups scaling their AI capabilities, and large enterprises building out dedicated applied machine learning teams.
Are there remote mid level machine learning jobs?
Yes, and flexibility at this level is common. About 37% of mid level machine learning openings are remote or hybrid as of September 2026, reflecting how well the work translates to distributed teams. Fully on-site roles do exist, typically at companies with strict data security requirements or where close collaboration with hardware and infrastructure teams is essential.
How do I move up to a mid level machine learning role?
The path from entry level to mid level is built on demonstrated ownership over time. Engineers who advance focus on shipping models to production rather than only running experiments, take on progressively larger scopes with less guidance, and develop a specialty where they can go deep. Documenting measurable outcomes, such as accuracy improvements or latency reductions, builds the portfolio that makes the jump credible to hiring teams.
Which industries hire the most mid level machine learnings?
Mid Level machine learning roles concentrate in Technology & Software, Electronics & Hardware, and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they have both the data volume and the product complexity that make mid level ML expertise, rather than generalist software engineering, the right fit for their core technical challenges.