Mid Level Machine Learning Research Jobs
Mid level machine learning research jobs go to researchers ready to own experiments end to end, make modeling decisions with limited oversight, and guide junior teammates through implementation. Openings run across Technology & Software, Artificial Intelligence, and Electronics & Hardware, with Scale AI, Apple, and Nuro among the employers competing for researchers 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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Find JobsMid Level Machine Learning Research Job Market
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 Machine Learning Research Jobs: Frequently Asked Questions
How do I get a mid level machine learning research job?
Position yourself as someone who has moved beyond executing tasks to owning outcomes. Highlight projects where you defined the research direction, selected methods, and delivered results independently. Applications stand out when you can point to published work, reproducible experiments, or deployed models rather than coursework. Tailor your resume to show scope of ownership, not just the tools or frameworks you have used.
Which companies hire mid level machine learning researchs?
Companies hiring mid level machine learning researchs 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 mix of technology companies building core research teams, industry labs pushing applied work, and startups scaling their model development function.
Are there remote mid level machine learning research jobs?
Yes, though availability varies by employer and specialization. About 14% of mid level machine learning research openings are remote or hybrid as of September 2026, reflecting how research workflows have adapted to distributed collaboration tools and asynchronous experimentation cycles. Roles tied to proprietary hardware or lab infrastructure tend to require on-site presence.
How do I move up to a mid level machine learning research role?
The path to mid level comes from accumulating independent ownership over your first few years. That means progressing from running experiments under supervision to designing them yourself, building a portfolio of measurable results, and demonstrating that your judgment can be trusted without close oversight. Contributing to peer review, co-authoring research, or leading a meaningful project signals the readiness that mid level roles require.
Which industries hire the most mid level machine learning researchs?
Mid Level machine learning research 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 because they generate the large proprietary datasets and face the complex prediction problems that make investing in dedicated research capacity worthwhile at this experience level.