Mid Level ML Research Engineer Jobs
Mid level ml research engineer jobs go to researchers ready to own experiments end to end, make modeling decisions with limited oversight, and mentor junior teammates on methods and tooling. Openings are 15% remote or hybrid, concentrated in Technology & Software, Artificial Intelligence, and Electronics & Hardware, with employers like Scale AI, Apple, and Nuro hiring at this level now.
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POSITION TITLE: Research Programmer III (Software Engineer)
POSITION SUMMARY:
The Kennedy laboratory is involved in numerous projects to track, quantify, and forecast individual and group behavior and relate it to recorded neural activity. We develop new computational methods to understand how agents (animals, humans, virtual) gather information about their sensory environment, integrate this with internal motivational needs, and execute goal-directed actions in complex, naturalistic environments. We also develop machine learning and computer vision platforms for high-throughput animal phenotyping, with the goal of accelerating drug screening and repurposing efforts at Scripps.
We seek motivated individuals interested in gaining hands-on experience in scientific research projects, with a goal of contributing to scientific papers and participating in an active lab environment. You will also have the opportunity to lead independent research projects on existing datasets from our collaborators (U Penn, UCLA, Harvard, U Utah, Northwestern, and others). This is an ideal position for applicants interested in building their scientific CV ahead of applying to graduate programs in Computational Neuroscience or Machine Learning, or those looking for a longer term position where they can contribute to original scientific research and model development.
REQUIREMENTS:
- Bachelor’s degree in Engineering, Computer Science, Data Science, Applied Math, or related field, or an equivalent combination of education, training and/or experience. Other STEM degrees may be accepted if accompanied with programming education, training, and/or experience.
- Minimum of four years experience in software application development or research programming.
- Experience with software development in Python.
- Experience building and training deep neural networks for supervised, unsupervised, or reinforcement learning problems.
- A demonstrated ability to apply the fundamentals of software application development.
- Experience with version control, including git and github.
Please include code samples and/or a link to a public code repository with examples of your work.
PREFERRED SKILLSET:
Prior experience with the one or more of the following is preferred:
- Experience with sequence/time series data, control/reinforcement learning problems and environments, time series forecasting.
- An understanding of generative modeling (hidden Markov models, diffusion models, etc).
- Familiarity with topics in motor control, robotics, and neuroscience.
As a member of a computational lab working in team projects, the following general skills are also preferred:
- Experience developing scalable system architectures that adhere to good software engineering principles.
- Ability to tackle large, open-ended research questions independently and as part of a team.
- Willingness to be an active participant in a computational lab environment, including taking part in lab meetings, journal clubs, and hackathons.
- Experience working within a diverse, interdisciplinary team.
- Experience contributing to open source software projects.
LOCATION: La Jolla, California.
PHYSICAL REQUIREMENTS: This position works in an office environment, and it is expected that work will be primarily performed in-person.
COMPENSTAION:
The expected hiring range for this position is $75,000 to $100,000 per year, commensurate with experience.
COMPREHENSIVE BENEFITS INCLUDE:
- Employer Contributed Retirement Plan – Depending on eligibility, employees receive an employer contributed retirement plan (no employee contribution required) and the option to contribute to a 403(b) (which is similar to a 401(k) using your own pre or post-tax dollars)
- Full Suite of Health and Welfare plans including three medical plan options (including an HSA available option), dental, vision, life insurance, disability, EAP and more
- Access to Flexible Spending Accounts (Medical/Dependent Care)
- Competitive vacation and sick leave policies
- Free, on-site parking
The above statements describe the level of work performed and expected in general terms. The statements are not intended to list all the responsibilities, duties and/or skills required of employees so classified, and the content herein is subject to change due to the business needs of Scripps Research, with or without notice. Furthermore, nothing in this job description shall be interpreted to be in conflict with or to eliminate or modify in any way the employment-at-will status of Scripps Research staff.
EEO Statement:
The Scripps Research Institute is an Equal Opportunity Employer. We promote diversity of thought, culture and background in the fields of science. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
POSITION TITLE: Research Programmer III (Software Engineer)
POSITION SUMMARY:
The Kennedy laboratory is involved in numerous projects to track, quantify, and forecast individual and group behavior and relate it to recorded neural activity. We develop new computational methods to understand how agents (animals, humans, virtual) gather information about their sensory environment, integrate this with internal motivational needs, and execute goal-directed actions in complex, naturalistic environments. We also develop machine learning and computer vision platforms for high-throughput animal phenotyping, with the goal of accelerating drug screening and repurposing efforts at Scripps.
We seek motivated individuals interested in gaining hands-on experience in scientific research projects, with a goal of contributing to scientific papers and participating in an active lab environment. You will also have the opportunity to lead independent research projects on existing datasets from our collaborators (U Penn, UCLA, Harvard, U Utah, Northwestern, and others). This is an ideal position for applicants interested in building their scientific CV ahead of applying to graduate programs in Computational Neuroscience or Machine Learning, or those looking for a longer term position where they can contribute to original scientific research and model development.
REQUIREMENTS:
- Bachelor’s degree in Engineering, Computer Science, Data Science, Applied Math, or related field, or an equivalent combination of education, training and/or experience. Other STEM degrees may be accepted if accompanied with programming education, training, and/or experience.
- Minimum of four years experience in software application development or research programming.
- Experience with software development in Python.
- Experience building and training deep neural networks for supervised, unsupervised, or reinforcement learning problems.
- A demonstrated ability to apply the fundamentals of software application development.
- Experience with version control, including git and github.
Please include code samples and/or a link to a public code repository with examples of your work.
PREFERRED SKILLSET:
Prior experience with the one or more of the following is preferred:
- Experience with sequence/time series data, control/reinforcement learning problems and environments, time series forecasting.
- An understanding of generative modeling (hidden Markov models, diffusion models, etc).
- Familiarity with topics in motor control, robotics, and neuroscience.
As a member of a computational lab working in team projects, the following general skills are also preferred:
- Experience developing scalable system architectures that adhere to good software engineering principles.
- Ability to tackle large, open-ended research questions independently and as part of a team.
- Willingness to be an active participant in a computational lab environment, including taking part in lab meetings, journal clubs, and hackathons.
- Experience working within a diverse, interdisciplinary team.
- Experience contributing to open source software projects.
LOCATION: La Jolla, California.
PHYSICAL REQUIREMENTS: This position works in an office environment, and it is expected that work will be primarily performed in-person.
COMPENSTAION:
The expected hiring range for this position is $75,000 to $100,000 per year, commensurate with experience.
COMPREHENSIVE BENEFITS INCLUDE:
- Employer Contributed Retirement Plan – Depending on eligibility, employees receive an employer contributed retirement plan (no employee contribution required) and the option to contribute to a 403(b) (which is similar to a 401(k) using your own pre or post-tax dollars)
- Full Suite of Health and Welfare plans including three medical plan options (including an HSA available option), dental, vision, life insurance, disability, EAP and more
- Access to Flexible Spending Accounts (Medical/Dependent Care)
- Competitive vacation and sick leave policies
- Free, on-site parking
The above statements describe the level of work performed and expected in general terms. The statements are not intended to list all the responsibilities, duties and/or skills required of employees so classified, and the content herein is subject to change due to the business needs of Scripps Research, with or without notice. Furthermore, nothing in this job description shall be interpreted to be in conflict with or to eliminate or modify in any way the employment-at-will status of Scripps Research staff.
EEO Statement:
The Scripps Research Institute is an Equal Opportunity Employer. We promote diversity of thought, culture and background in the fields of science. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
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Who's Hiring
- Scale AI11
- Apple3
- Nuro2
- Rad AI2
- Plaid1
Top Industries Hiring
- Technology & Software13
- Artificial Intelligence6
- Electronics & Hardware5
- Transportation & Logistics2
- Biotechnology & Pharmaceuticals2
Mid Level ML Research Engineer Jobs: Frequently Asked Questions
How do I get a mid level ml research engineer job?
Position your work around ownership and impact: highlight research you drove independently, models you shipped to production, and decisions you made without close supervision. Concrete contributions matter more than years logged. Tailor your resume and portfolio to show depth in at least one domain, such as computer vision, NLP, or reinforcement learning, and demonstrate you can scope a problem, not just execute a predefined task.
Which companies hire mid level ml research engineers?
Companies hiring mid level ml research engineers right now include Scale AI, Apple, and Nuro, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a broad range of employers, from large technology and research labs investing in applied research teams to growth-stage startups building core model infrastructure.
Are there remote mid level ml research engineer jobs?
Yes, remote and hybrid work is widely available at this level. About 15% of mid level ml research engineer openings are remote or hybrid as of September 2026, reflecting how research-heavy roles have adapted to distributed collaboration. On-site positions do exist, particularly at labs and teams where GPU access and close collaboration are central to the work.
How do I move up to a mid level ml research engineer role?
The path from entry level to mid level is built through progressively larger ownership. Early on, focus on shipping real models and iterating on feedback. Over time, seek projects where you define the research direction, not just implement it. Developing strong fundamentals in optimization, evaluation, and experiment design, combined with a record of measurable results, is what separates mid level candidates from those still in early-career territory.
Which industries hire the most mid level ml research engineers?
Mid Level ml research engineer roles concentrate in Technology & Software, Artificial Intelligence, and Electronics & Hardware, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they are building or scaling ML capabilities that require researchers who can operate with autonomy and contribute meaningfully to model development and deployment pipelines.