Entry Level Machine Learning Research Jobs
New grad machine learning research jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio of projects or internship work can outweigh a long resume. Most openings mix on-site and remote settings across Technology & Software, Artificial Intelligence, and Electronics & Hardware, with employers like Scale AI, Nuro, and Onyx hiring at this level now.
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Showing 5 of 18+ Entry Level Machine Learning Research jobs
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day.
Description
We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will take on high-risk, high-reward challenges - researching, designing, and improving state-of-the-art deep learning models trained on unique data, implementing novel machine learning algorithms, and developing solutions to problems that don't have obvious answers. Your scope will encompass various ML subfields and modalities, combining ideas from different fields to solve unique challenges and deliver solutions adopted broadly across teams.
Minimum Qualifications
- BS in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience.
- Experience in academic or industry research.
- Experience working with Pytorch.
Preferred Qualifications
- MS or PhD in Computer Science, Electrical Engineering, or a related field.
- Strong foundation in deep learning theory and hands-on experience training large-scale models.
- Deep knowledge in one or more of: self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
- Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion).
- Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code.
- Resilience and persistence - comfort with experimentation cycles where many attempts fail before one succeeds.
- Publication record at top-tier ML venues (NeurIPS, ICML, ICLR, Interspeech, ICASSP, etc.).
- Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics. Experience collaborating with distributed teams across time zones.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $134,700 and $203,000, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day.
Description
We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will take on high-risk, high-reward challenges - researching, designing, and improving state-of-the-art deep learning models trained on unique data, implementing novel machine learning algorithms, and developing solutions to problems that don't have obvious answers. Your scope will encompass various ML subfields and modalities, combining ideas from different fields to solve unique challenges and deliver solutions adopted broadly across teams.
Minimum Qualifications
- BS in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience.
- Experience in academic or industry research.
- Experience working with Pytorch.
Preferred Qualifications
- MS or PhD in Computer Science, Electrical Engineering, or a related field.
- Strong foundation in deep learning theory and hands-on experience training large-scale models.
- Deep knowledge in one or more of: self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
- Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion).
- Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code.
- Resilience and persistence - comfort with experimentation cycles where many attempts fail before one succeeds.
- Publication record at top-tier ML venues (NeurIPS, ICML, ICLR, Interspeech, ICASSP, etc.).
- Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics. Experience collaborating with distributed teams across time zones.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $134,700 and $203,000, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
See All 18 Entry Level Machine Learning Research Jobs
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Artificial Intelligence
- Electronics & Hardware
- Investment & Asset Management
- Telecommunications
Entry Level Machine Learning Research Jobs: Frequently Asked Questions
How do I get an entry level machine learning research job?
Employers hiring at the entry level look for hands-on evidence of skills: personal projects on GitHub, Kaggle competition results, or research conducted during a degree or internship. Familiarity with Python, PyTorch or TensorFlow, and foundational math such as linear algebra and probability gives candidates a real edge. A clear portfolio that shows you can frame a problem, build a model, and interpret results matters more than years on a resume at this stage.
Which companies hire entry level machine learning researchs?
Companies hiring entry level machine learning researchs right now include Scale AI, Nuro, and Onyx, based on current listings on Migrate Mate as of November 2026. Hiring covers large technology firms with dedicated AI research labs, fast-growing startups building ML-powered products, and research-oriented organizations in academia-adjacent industries.
Are there remote entry level machine learning research jobs?
Yes, though availability varies by employer and role type. About 18% of entry level machine learning research openings are remote or hybrid as of November 2026, reflecting how common distributed research teams have become in this field. Some fully on-site roles still exist, particularly at labs that require access to specialized hardware or collaborative research environments.
Are these new grad machine learning research jobs?
Yes, the openings on this page include new grad, recent graduate, and junior machine learning research roles. A posting is generally new-grad friendly when it welcomes zero to two years of experience, accepts internship work or academic research in place of full-time history, or explicitly invites candidates with a strong portfolio rather than a long resume. Look for language like "new graduates encouraged to apply" or "0 to 2 years" as clear signals.
Which industries hire the most entry level machine learning researchs?
Entry Level machine learning research roles concentrate in Technology & Software, Artificial Intelligence, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at the entry level because they are actively building or expanding AI research capabilities and need junior talent to support larger research teams and production model pipelines.