Mid Level Machine Learning Research Engineer Jobs
Mid level machine learning research engineer jobs go to researchers ready to own experiments end to end, guide junior teammates, and move models from prototype to production with minimal oversight. Openings are concentrated in Technology & Software, Artificial Intelligence, and Electronics & Hardware, with a strong mix of remote and hybrid positions, and employers like Scale AI, Nuro, and Rad AI hiring at this level now.
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Company Description
To create revolutionary, story-driven RPGs which go straight to the hearts of gamers — this is our mission. Want to dive deeper into our company’s culture? Explore our social media and check out our YouTube channel and Beyond the Game Blog where we share behind-the-scenes insights and stories direct from our team members!
Job Description
CD PROJEKT RED is looking for a Machine Learning Researcher - Narratologist to join our R&D Team exploring potential new features for game development. In this role you will find and push the boundaries of computational narratology, the study of techniques to understand and react to (but not generate) narrative text.
Responsibilities:
- Architect and build ML systems for complex narrative analysis.
- Quantitatively improve key NLP models, designing and/or integrating new models.
- Effectively leverage cloud infrastructure for training and serving.
- Keep a finger on the pulse of SOTA for key topics.
- Present results internally and possibly at external conferences.
- Optimize ML systems for cost, latency, and quality.
- Facilitate the deployment of results in demos.
Qualifications
- Sophisticated experimental NLP background in academic or industrial research.
- 5+ experience programming.
- Fluent in Python and C++ (or Unreal C++).
- Intellectually curious, ambitious, open-minded, and proactive.
- Capable of taking high-level goals, making a plan, driving it forward, and being accountable for the results.
Nice to Haves:
- Game development experience, especially in Unreal Engine.
- Relevant publications in narratology.
- Personal projects in ML.
Additional Information
The application window for this position will close by March 1st, 2027. This job can be hybrid/in-office or fully remote. As part of our pre-employment process, candidates selected for this position will be required to complete a background check in accordance with applicable laws and regulations.
Health & Well-Being
- Company-paid medical healthcare (dental, vision, and mental).
- Free mental health support, including access to counseling, psychiatric care, and a variety of well-being webinars.
- Paid leave — 26 days of vacation, 10 sick days, & 12 calendar holidays per year.
- 401K with employer matching.
- Lifestyle Spending Account (LSA) – $100 per month to use towards fitness, wellness, internet, home office equipment, learning, streaming services, and more.
- Menstrual leave — employees who menstruate can take one extra day off when experiencing period pain.
- RED Parents Network — support for working parents.
- Flexible working hours.
Perks & Professional Growth
- Trainings, lectures, and courses — internal workshops, knowledge-sharing initiatives, online tutorials, and e-learning classes are all available.
- A welcome pack filled with goodies — to help you feel right at home once you join the team.
Life in the Office
- Dog-friendly office — bring your pooch with you and look after them while working! There’s always a furry friend or two to meet.
- Truly international working environment — a chance to meet and work with a diverse selection of people from all around the world.
- No dress-code — we like to keep it casual.
This position is a new role.
Estimated pay range for this position:
$136,600 - $250,500 USD annually.
At CD PROJEKT RED compensation for our roles in North America are determined based on competitive market data, geographic location, and individual factors tied to business needs. The base pay range is subject to change and may be modified in the future. Final offers are dependent on job-related factors like experience, qualifications, and location.
If you've observed any irregularities (i.e. legal or ethical violations) in our recruitment process, please click here to report them anonymously.
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Find JobsMid Level Machine Learning Research Engineer Job Market
Who's Hiring
- Scale AI12

- Nuro4

- Rad AI2

- Plaid1

- Deepgram1

Top Industries Hiring
- Technology & Software13
- Artificial Intelligence9
- Electronics & Hardware4
- Transportation & Logistics4
- Biotechnology & Pharmaceuticals2
Mid Level Machine Learning Research Engineer Jobs: Frequently Asked Questions
How do I get a mid level machine learning research engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you drove the research direction, made architectural decisions, or shipped a model to production. Demonstrate depth in at least one specialization, such as NLP, computer vision, or reinforcement learning, and show you can communicate findings to both technical and non-technical stakeholders. Applications that show measurable impact stand out consistently at this level.
Which companies hire mid level machine learning research engineers?
Companies hiring mid level machine learning research engineers right now include Scale AI, Nuro, and Rad AI, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, including large technology firms, well-funded startups, and research-driven enterprises in healthcare, finance, and defense.
Are there remote mid level machine learning research engineer jobs?
Yes, remote and hybrid options are common at this level. About 14% of mid level machine learning research engineer openings are remote or hybrid as of November 2026, reflecting the collaborative but compute-independent nature of much ML research work. Fully on-site roles do exist, particularly at labs requiring access to specialized hardware or sensitive data environments.
How do I move up to a mid level machine learning research engineer role?
The path runs through deepening specialization and taking on progressively larger ownership. Early-career researchers who consistently ship complete experiments, engage with the full ML pipeline from data to deployment, and begin mentoring peers build the profile hiring managers recognize as mid level. Publishing work, contributing to open-source projects, and demonstrating the ability to scope and execute independently all accelerate that progression meaningfully.
Which industries hire the most mid level machine learning research engineers?
Mid Level machine learning research engineer roles concentrate in Technology & Software, Artificial Intelligence, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they have both the data infrastructure and the product complexity that make dedicated ML research capacity a competitive advantage rather than a nice-to-have.