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 TikTok hiring at this level now.
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Operating across key business areas like grocery and food, the Consumer Incentives team drives Uber's growth and long-term profitability. We deliver products that create seamless, affordable, and enjoyable customer experiences by building AI/ML-powered intelligence and sophisticated distributed systems at scale for hundreds of millions of global users.
What you'll do
In this role, you will build products powered by advanced AI/ML solutions and scalable distributed systems. Your work will optimize user experiences across multiple verticals, such as grocery and food, while fostering sustainable business growth. Key responsibilities include:
- Launching products to power key consumer experience and business outcomes.
- Driving projects across full lifecycles spanning initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
- Designing, tuning, and enhancing systems and algorithms to operate at scale.
- Partnering with cross-functional stakeholders across product management, operations, and data science.
- 3+ years of experience in an AI/ML/optimization role, or a PhD in a relevant field (CS, OR, EE, Statistics, etc.)
- Proficiency in at least one programming language such as Python, Go, or Java
- Strong communication skills and ability to work effectively with cross-functional partners
- Strong sense of ownership to drive projects end-to-end
- Experience in designing and delivering large-scale consumer products
- Experience in developing, evaluating, and deploying ML models & algorithms in production Experience in experimental design and causal inference
For New York City, NY-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
Ready to Ride?
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Operating across key business areas like grocery and food, the Consumer Incentives team drives Uber's growth and long-term profitability. We deliver products that create seamless, affordable, and enjoyable customer experiences by building AI/ML-powered intelligence and sophisticated distributed systems at scale for hundreds of millions of global users.
What you'll do
In this role, you will build products powered by advanced AI/ML solutions and scalable distributed systems. Your work will optimize user experiences across multiple verticals, such as grocery and food, while fostering sustainable business growth. Key responsibilities include:
- Launching products to power key consumer experience and business outcomes.
- Driving projects across full lifecycles spanning initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
- Designing, tuning, and enhancing systems and algorithms to operate at scale.
- Partnering with cross-functional stakeholders across product management, operations, and data science.
- 3+ years of experience in an AI/ML/optimization role, or a PhD in a relevant field (CS, OR, EE, Statistics, etc.)
- Proficiency in at least one programming language such as Python, Go, or Java
- Strong communication skills and ability to work effectively with cross-functional partners
- Strong sense of ownership to drive projects end-to-end
- Experience in designing and delivering large-scale consumer products
- Experience in developing, evaluating, and deploying ML models & algorithms in production Experience in experimental design and causal inference
For New York City, NY-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
Ready to Ride?
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
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Find JobsMid Level Machine Learning Intern Job Market
Who's Hiring
- Apple37
- Scale AI14
- TikTok7
- Adobe6
- TikTok USDS Joint Venture6
Top Industries Hiring
- Technology & Software102
- Electronics & Hardware39
- Artificial Intelligence18
- Banking & Financial Services15
- Science & Research9
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 TikTok, based on current listings on Migrate Mate as of September 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 29% of mid level machine learning intern openings are remote or hybrid as of September 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 September 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.