Mid Level Machine Learning Intern Jobs
Mid level machine learning intern jobs go to candidates ready to own model development end to end, contribute to cross-functional decisions, and guide junior teammates without constant supervision. Openings are spread across on-site, remote, and hybrid settings in Technology & Software, Electronics & Hardware, and Artificial Intelligence, with Apple, Scale AI, and Adobe hiring at this level now.
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INTRODUCTION
Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for engineers who can help us advance the way people connect globally. If you're interested in joining a team and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Machine Learning RecSys Responsibilities:
- Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
- Implement custom user interfaces using latest programming techniques and technologies
- Develop reusable software components for interfacing with back-end platforms
- Analyze and optimize code for quality, efficiency, and performance
- Lead complex technical or product efforts and provide technical guidance to peers
- Architect efficient and scalable systems that drive complex applications
- Identify and resolve performance and scalability issues
- Work on a variety of coding languages and technologies
- Establish ownership of components, features, or systems with expert end-to-end understanding
Minimum Qualifications:
- 3+ years of experience in software engineering or a relevant field. 2+ years of experience if you have a PhD
- 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or a related technical field
- Experience with scripting languages such as Python, Javascript or Hack
- Experience with developing machine learning models at scale from inception to business impact
- Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
- Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
- Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
- Experience building and shipping high quality work and achieving high reliability
- Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications:
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience with scripting languages such as Pytorch and TensorFlow
- Exposure to architectural patterns of large scale software applications
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments
- Master's degree or PhD in Computer Science or another ML-related field
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
INTRODUCTION
Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for engineers who can help us advance the way people connect globally. If you're interested in joining a team and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Machine Learning RecSys Responsibilities:
- Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
- Implement custom user interfaces using latest programming techniques and technologies
- Develop reusable software components for interfacing with back-end platforms
- Analyze and optimize code for quality, efficiency, and performance
- Lead complex technical or product efforts and provide technical guidance to peers
- Architect efficient and scalable systems that drive complex applications
- Identify and resolve performance and scalability issues
- Work on a variety of coding languages and technologies
- Establish ownership of components, features, or systems with expert end-to-end understanding
Minimum Qualifications:
- 3+ years of experience in software engineering or a relevant field. 2+ years of experience if you have a PhD
- 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or a related technical field
- Experience with scripting languages such as Python, Javascript or Hack
- Experience with developing machine learning models at scale from inception to business impact
- Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
- Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
- Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
- Experience building and shipping high quality work and achieving high reliability
- Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications:
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience with scripting languages such as Pytorch and TensorFlow
- Exposure to architectural patterns of large scale software applications
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments
- Master's degree or PhD in Computer Science or another ML-related field
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Find JobsMid Level Machine Learning Intern Job Market
Who's Hiring
- Apple128
- Scale AI19
- Adobe16
- Iterable14
- Zoox13
Top Industries Hiring
- Technology & Software269
- Electronics & Hardware144
- Artificial Intelligence61
- Banking & Financial Services61
- Automotive43
Mid Level Machine Learning Intern Jobs: Frequently Asked Questions
How do I get a mid level machine learning intern job?
Position yourself around ownership rather than contribution. Highlight projects where you drove decisions, not just executed tasks, and show measurable outcomes like improved model accuracy or reduced latency. Strong applications at this level demonstrate comfort with the full ML lifecycle, from data preparation through deployment, and the ability to work with minimal oversight on scoped problems.
Which companies hire mid level machine learning interns?
Companies hiring mid level machine learning interns right now include Apple, Scale AI, and Adobe, based on current listings on Migrate Mate as of July 2026. At this level, hiring tends to come from organizations with established ML teams that need practitioners who can move independently on defined problems rather than requiring heavy mentorship.
Are there remote mid level machine learning intern jobs?
Yes, though availability varies by employer and project type. About 35% of mid level machine learning intern openings are remote or hybrid as of July 2026, reflecting how much ML work happens in distributed team environments. Some roles requiring access to proprietary hardware or sensitive datasets are more likely to be on-site.
How do I move up to a mid level machine learning intern role?
The path from entry level into mid level comes from accumulating depth over time, not just years. Early-career ML practitioners grow into mid level by taking on progressively larger pieces of a project, demonstrating that they can debug ambiguous problems independently, building out a portfolio of shipped work, and showing they can communicate technical tradeoffs clearly to non-technical stakeholders.
Which industries hire the most mid level machine learning interns?
Mid Level machine learning intern roles concentrate in Technology & Software, Electronics & Hardware, and Artificial Intelligence, based on current listings on Migrate Mate as of July 2026. These sectors tend to drive hiring at this level because they have mature data infrastructure and enough ML use cases to support practitioners who specialize in specific problem domains rather than generalist experimentation.