Machine Learning Specialist Internships
Machine learning specialist internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working engineers and data scientists, and, at many employers, a path toward a full-time offer. Openings are concentrated across Technology & Software, Science & Research, and Social Media, with TikTok, Meta, and ByteDance among the employers posting roles now.
Find InternshipsOverview
Showing 5 of 156+ Machine Learning Specialist Internships
Job Overview
The mission of Central Technology - Machine Learning (CT-ML) is to create technology to enable all ML Compute on ARM. We believe that advancing innovative machine learning (ML) technology requires a collaborative approach across hardware, software, and algorithms. The CT-ML Algorithms team acts as the Center of Excellence for ML content analysis, algorithm development, and tools, driving this unified effort forward.
What you could be doing as a Machine Learning Intern (MS/PhD)
- Develop in depth understanding of ML workload, and develop algorithms and optimization techniques to drive PPA (Performance, Power, Area) on current and future Arm platforms.
- Conduct ML workload analysis and serve as the ML Workload experts to support all phases of ARM IP development
- Devise algorithm and prototyping on current platforms and to support future architecture exploration.
- Develop internal tooling capabilities to support algorithmic and architecture exploration
Examples:
- Develop domain expertise in ML models and hardware-aware optimization techniques to support architecture development.
- Conduct “Proof of Concept” exploration to prototype algorithms and optimized models in support of architecture development.
- Develop and prototype algorithms to automate deployment of HW-aware optimized network optimization processes on ARM processors.
We are looking for individuals who
- Graduate students (PhD or MS with relevant research/work experience and/or publications) in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields
- Deep knowledge in machine learning, deep learning, and neural network design, optimization, and compression techniques
- Overall high-level knowledge of computer architecture, systems, and HW-SW co-design
- Ability to develop and work with large software systems in programming languages like Python
- Knowledge of innovative deep learning libraries such as Tensorflow, and Pytorch
- Willing to learn and train large deep learning models on GPU-based systems
Qualities that will help your application stand out
- Experience with ML model design, optimization, and HW-SW co-development methodology
- ML Model Optimization techniques targeting PPA (Performance, Power, and Area) of neural networks on ARM compute platforms
- Adaptability to the fast paced ML industry and willingness to learn new technology in a multifaceted environment
Application Closing Date
2026-11-20
We aim to review all applications no later than two weeks after the closing date. In peak periods there may be exceptions beyond this timeframe. We will do our best to keep you informed.
In Return
Working on interesting new projects with leaders in the field is exciting, but we also know how important it is to receive support. That's why throughout your internship, you can expect regular feedback and development opportunities, social activities to connect with your peers, an end of internship celebration, plus the opportunity to be *considered for future Graduate positions (*subject to performance). #getreadytogrow
In addition to a competitive salary ($50-60/hour per hour), our on-the-job learning and mentoring/buddy schemes provide opportunities to learn and build professional connections.
Additional Information
We encourage early applications as we review them on a first come/first served basis.
Arm Internships require you to be enrolled in a higher education degree and be returning to your course after your internship/placement.
Please note we are unable to provide visa sponsorship for this role. Applicants must have the right to work in the country where the internship is based, without relying on sponsorship by Arm, for the full duration of the internship
#LI-AP1
|Analyse machine learning workloads and prototype hardware-aware algorithms and tools to support performance, power and area optimisation on current and future Arm platforms.|
Our 10x Mindset
At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: https://careers.arm.com/10x-mindset (opens in new window)
Use of AI in Your Application
At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you.
Recruitment Adjustments and Accommodations
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Overview
The mission of Central Technology - Machine Learning (CT-ML) is to create technology to enable all ML Compute on ARM. We believe that advancing innovative machine learning (ML) technology requires a collaborative approach across hardware, software, and algorithms. The CT-ML Algorithms team acts as the Center of Excellence for ML content analysis, algorithm development, and tools, driving this unified effort forward.
What you could be doing as a Machine Learning Intern (MS/PhD)
- Develop in depth understanding of ML workload, and develop algorithms and optimization techniques to drive PPA (Performance, Power, Area) on current and future Arm platforms.
- Conduct ML workload analysis and serve as the ML Workload experts to support all phases of ARM IP development
- Devise algorithm and prototyping on current platforms and to support future architecture exploration.
- Develop internal tooling capabilities to support algorithmic and architecture exploration
Examples:
- Develop domain expertise in ML models and hardware-aware optimization techniques to support architecture development.
- Conduct “Proof of Concept” exploration to prototype algorithms and optimized models in support of architecture development.
- Develop and prototype algorithms to automate deployment of HW-aware optimized network optimization processes on ARM processors.
We are looking for individuals who
- Graduate students (PhD or MS with relevant research/work experience and/or publications) in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields
- Deep knowledge in machine learning, deep learning, and neural network design, optimization, and compression techniques
- Overall high-level knowledge of computer architecture, systems, and HW-SW co-design
- Ability to develop and work with large software systems in programming languages like Python
- Knowledge of innovative deep learning libraries such as Tensorflow, and Pytorch
- Willing to learn and train large deep learning models on GPU-based systems
Qualities that will help your application stand out
- Experience with ML model design, optimization, and HW-SW co-development methodology
- ML Model Optimization techniques targeting PPA (Performance, Power, and Area) of neural networks on ARM compute platforms
- Adaptability to the fast paced ML industry and willingness to learn new technology in a multifaceted environment
Application Closing Date
2026-11-20
We aim to review all applications no later than two weeks after the closing date. In peak periods there may be exceptions beyond this timeframe. We will do our best to keep you informed.
In Return
Working on interesting new projects with leaders in the field is exciting, but we also know how important it is to receive support. That's why throughout your internship, you can expect regular feedback and development opportunities, social activities to connect with your peers, an end of internship celebration, plus the opportunity to be *considered for future Graduate positions (*subject to performance). #getreadytogrow
In addition to a competitive salary ($50-60/hour per hour), our on-the-job learning and mentoring/buddy schemes provide opportunities to learn and build professional connections.
Additional Information
We encourage early applications as we review them on a first come/first served basis.
Arm Internships require you to be enrolled in a higher education degree and be returning to your course after your internship/placement.
Please note we are unable to provide visa sponsorship for this role. Applicants must have the right to work in the country where the internship is based, without relying on sponsorship by Arm, for the full duration of the internship
#LI-AP1
|Analyse machine learning workloads and prototype hardware-aware algorithms and tools to support performance, power and area optimisation on current and future Arm platforms.|
Our 10x Mindset
At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: https://careers.arm.com/10x-mindset (opens in new window)
Use of AI in Your Application
At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you.
Recruitment Adjustments and Accommodations
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Machine Learning Specialist Internship Market
Who's Hiring
- TikTok48
- Meta13
- ByteDance9
- Microsoft4
- TikTok USDS JV4
Top Industries Hiring
- Technology & Software
- Science & Research
- Social Media
- Media & Entertainment
- Investment & Asset Management
Tips for Your Machine Learning Specialist Internship Search
Apply in the fall for summer internships
Large tech and enterprise employers open summer internship applications as early as August or September of the preceding year. If you wait until spring, the structured cohort programs are often closed. Smaller companies and co-ops post closer to their start dates, so check listings throughout the year, not just once.
Build a project portfolio before you apply
Hiring teams for machine learning specialist interns expect limited work history and weigh your projects heavily. Document two or three end-to-end ML projects on GitHub, noting the problem, the dataset, the model you chose, and what you measured. A clean README and reproducible code give recruiters something specific to evaluate.
Work your campus network and apply directly at the same time
Campus career fairs surface structured internship programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside campus activity widens the pool you reach and reduces your dependence on any single channel.
Practice coding screens out loud before your first application
Machine learning specialist intern interviews typically include a coding screen covering data structures, algorithms, and ML fundamentals, often followed by a problem-solving or model-design conversation. Practice solving problems out loud and explaining your reasoning step by step, because interviewers weigh how you think through a problem as much as whether you reach the right answer.
Target structured ML internship programs at larger employers
Many large tech companies and research organizations run dedicated machine learning or AI internship cohorts built to train people new to applied work. These programs offer structured mentorship, defined project tracks, and clear return-offer processes. They recruit months before start dates and fill fast, so identify the ones that fit your background and apply in the first wave.
Set your work-type filter before you start searching
On-site roles are 76% of the machine learning specialist internships listed here. Decide upfront whether you can relocate or commute before you start sorting through listings, then filter by location and work type on Migrate Mate so you're only reviewing roles you can actually accept.
Machine Learning Specialist Internships: Frequently Asked Questions
How do I get a machine learning specialist internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. A GitHub repository with documented ML projects, clean code, and a brief write-up of your approach gives recruiters something concrete to assess. Apply directly to companies and attend campus career fairs, where recruiters often move faster for students they meet in person.
Can a machine learning specialist internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For machine learning specialist interns, what drives it most is delivering on real project work, the team having open headcount, and return-offer decisions often coming before your internship ends. Treat the offer as a possible outcome, not a plan, and focus on the quality of your work and your relationships with the team.
When should I apply for machine learning specialist internships?
Earlier than most students expect. Large tech and enterprise employers recruit summer interns the preceding fall, with applications opening in August or September. Smaller companies, startups, and co-op programs post closer to their actual start dates, so openings appear year-round. Checking listings regularly means you won't miss roles that open outside the main recruiting season.
Are machine learning specialist internships paid?
Most professional machine learning specialist internships in the United States are paid. Compensation varies by company size, industry, and location, and listings show it where the employer discloses it. Unpaid internships exist primarily in nonprofit or research settings, so read each listing carefully before applying.
What should a machine learning specialist internship resume include?
Lead with projects, not work history. Include two or three complete, documented ML projects that name the tools, frameworks, and datasets used, and link directly to your GitHub or a project portfolio so reviewers can see the actual code and results. Add relevant coursework in machine learning, statistics, and programming. Keep the resume to one page.
Are there remote machine learning specialist internships?
Yes. Remote and hybrid roles make up 24% of the machine learning specialist internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants from across the country, so apply early once you've decided what works for your situation, and use the work-type filter to see only the listings that fit.
What is a machine learning research internship?
Machine learning research internships, offered at large tech companies and university-affiliated labs, focus on original research rather than applied product work. Interns typically work alongside research scientists on a defined problem, contributing to papers or internal reports. These programs recruit early, are highly competitive, and favor candidates with strong math foundations and prior research or publication experience.
Can international students get machine learning specialist internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
See All 156+ Machine Learning Specialist Internship Jobs
Find roles that match your experience and apply in just a few clicks.
Find Internships