Entry Level Machine Learning Research Engineer Jobs
New grad machine learning research engineer jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio of research projects or internship work can matter more than a long resume. Most openings are on-site roles across Technology & Software, Artificial Intelligence, and Electronics & Hardware, with employers like Scale AI, Nuro, and Qualcomm hiring at this level now.
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Showing 5 of 22+ Entry Level Machine Learning Research Engineer 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 22 Entry Level Machine Learning Research Engineer Jobs
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Who's Hiring
Top Industries Hiring
- Technology & Software10
- Artificial Intelligence9
- Electronics & Hardware6
- Transportation & Logistics3
- Investment & Asset Management3
Entry Level Machine Learning Research Engineer Jobs: Frequently Asked Questions
How do I get an entry level machine learning research engineer job?
Entry level machine learning research engineer roles reward candidates who can demonstrate hands-on work: a GitHub portfolio of ML projects, published research, Kaggle competition results, or a research internship all carry real weight. Employers at this level look for proficiency in Python, familiarity with frameworks like PyTorch or TensorFlow, and evidence you can move from a research idea to a working prototype, even at a small scale.
Which companies hire entry level machine learning research engineers?
Companies hiring entry level machine learning research engineers right now include Scale AI, Nuro, and Qualcomm, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of AI-focused startups, big tech research labs, and established enterprises building out their ML capabilities for the first time.
Are there remote entry level machine learning research engineer jobs?
Yes, though on-site roles are still common at this stage. About 19% of entry level machine learning research engineer openings are remote or hybrid as of November 2026, reflecting strong demand from distributed research teams and AI product companies that hire new engineers regardless of location.
Are these new grad machine learning research engineer jobs?
Yes, these listings include new grad, recent graduate, and junior machine learning research engineer roles. A posting is typically new-grad friendly when it explicitly welcomes zero to two years of experience, counts internships or research assistantships as qualifying experience, or accepts a strong portfolio in place of full-time work history. Look for language like "new grads encouraged to apply" or "recent graduates welcome" in the job description.
Which industries hire the most entry level machine learning research engineers?
Entry Level machine learning research engineer 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 scaling research teams and need junior engineers who can contribute to model development, experimentation, and evaluation from day one.