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Machine Learning Engineer - Special Projects
AppleUnited States
Machine Learning Engineer - Special ProjectsWe're seeking research engineers to build infrastructure for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You
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AmazonSeattleJob ID: 3178943 | Amazon.com Services LLCInnovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leade
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AffirmSt LouisOverview Join to apply for the Senior Staff Machine Learning Engineer, (ML Underwriting) role at Affirm3 days ago Be among the first 25 applicantsJoin to apply for the Senior Staff Machine Learning En
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AffirmSalt Lake CityAffirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.Join the team as a Senior St
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FullscopeFort MeadeJob Title: Machine Learning Engineer Location: Fort Meade, MD Required Clearance: TS/SCI w/ Full‑Scope Poly Salary: CompetitiveWe are seeking a highly skilled and motivated Machine Learning Engineer t
Über
We're seeking research engineers to build infrastructure for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality data pipelines, simulation systems, and tooling that enable cutting-edge agent research. You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences. Responsibilities
Passion for the mission: We're here to make something extraordinary. We seek whatever work is right and strive for the best possible results. Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback. Lean habits: You can't grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions. Minimum Qualifications
5+ years of ML engineering experience building and maintaining data-intensive systems - including feature pipelines, training infrastructure, model serving, or evaluation frameworks. Solid software engineering skills in complex systems - Fluency in Python. You deliver clean, well-tested code. Hands-on experience with distributed ML systems - CI/CD at scale, distributed testing, or ML evaluation pipelines. Strong quantitative and data skills - comfortable with SQL, statistical reasoning, and translating ambiguous signals into clear, actionable findings. Proven track record shipping ML systems end-to-end - from problem framing and data curation through training, evaluation, deployment, and monitoring in production. Preferred Qualifications
Bachelors or Masters Degree in Computer Science, Engineering, Math, or Physics from a strong program. 2+ years at a company building AI products or agent systems. Experience with job orchestration frameworks (Airflow, Prefect, Ray, etc.). Familiarity with macOS/iOS development ecosystems. Active personal interest in AI agents—you're already experimenting on your own time. Pay & Benefits
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 $147,400 and $272,100, 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.
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