Entry Level AI/ML Researcher Jobs
New grad ai/ml researcher jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio of personal projects or internship work can carry more weight than a lengthy resume. Most openings are Technology & Software, Investment & Asset Management, and Electronics & Hardware roles with employers like Qualcomm, JPMorganChase, and Onyx hiring at this level now.
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Showing 5 of 10+ Entry Level AI/ML Researcher 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.
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Investment & Asset Management
- Electronics & Hardware
- Banking & Financial Services
- Fintech
Entry Level AI/ML Researcher Jobs: Frequently Asked Questions
How do I get an entry level ai/ml researcher job?
Employers hiring entry level ai/ml researchers look for hands-on evidence of skills over credentials alone. A GitHub portfolio with machine learning projects, coursework in deep learning or natural language processing, and any internship or research assistant experience give candidates a clear edge. Familiarity with Python, PyTorch, or TensorFlow and the ability to explain your methodology in writing rounds out what most hiring teams want to see at this stage.
Which companies hire entry level ai/ml researchers?
Companies hiring entry level ai/ml researchers right now include Qualcomm, JPMorganChase, and Onyx, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of technology companies, AI-focused startups, and large enterprises building internal research teams.
Are there remote entry level ai/ml researcher jobs?
Yes, though on-site and hybrid openings still make up a significant share of postings. About 13% of entry level ai/ml researcher openings are remote or hybrid as of November 2026, so candidates who prefer flexibility have real options alongside the traditional in-person roles.
Are these new grad ai/ml researcher jobs?
Yes, the listings here include new grad, recent graduate, and junior ai/ml researcher roles. A posting is new-grad friendly when it welcomes zero to two years of experience, accepts internship or research project work in place of full-time history, or calls out a portfolio as an acceptable alternative to a conventional resume. Searching for junior or new grad alongside the role title surfaces those openings most reliably.
Which industries hire the most entry level ai/ml researchers?
Entry Level ai/ml researcher roles concentrate in Technology & Software, Investment & Asset Management, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. Those sectors drive hiring at this level because they are actively building or expanding AI research functions and tend to recruit recent graduates to grow alongside their teams.