Senior Level Machine Learning Research Scientist Jobs
Senior level machine learning research scientist jobs place experienced researchers in charge of defining research agendas, owning model architecture decisions, and leading the cross-functional teams that move work from hypothesis to production. Openings concentrate heavily in Technology & Software, Biotechnology & Pharmaceuticals, and Electronics & Hardware, with 88% remote or hybrid availability, and employers like SentiLink, Apple, and Lila Sciences hiring at this level now.
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At Apple, we believe privacy is a fundamental human right. Our Security Engineering & Architecture (SEAR) organization is at the forefront of protecting billions of users worldwide, building security into every product, service, and experience we create. The SEAR ML Security Engineering team combines cutting-edge machine learning with world-class security engineering to defend against evolving threats at unprecedented scale. We're responsible for developing intelligent security systems for Apple Intelligence that protect Apple's ecosystem while preserving the privacy our users expect and deserve. We're seeking a ML Security Research Scientist who operates at the intersection of applied research and production impact. You'll lead original security research on agentic ML systems deployed at scale—driving secure agentic design directly into shipping products, identifying real vulnerabilities in tool-using models and designing adversarial evaluations that reflect actual attacker behavior. You'll work at the boundary between research, platform engineering, and product security, translating findings into architectural decisions, launch requirements, and long-term hardening strategies that protect billions of users. Your impact will be measured by risk reduction in production systems that ship.
Description
This role focuses on applied security research for production ML systems, with an emphasis on agentic and tool-using models deployed at scale. You will lead research efforts that surface real security risks in shipped or near-shipped systems, and you will drive mitigations that integrate cleanly into Apple’s ML platforms and products. You will operate at the boundary between research, platform engineering, and product security, conducting original research grounded in real system behavior and translating it into concrete design changes, launch requirements, and long-term hardening strategies. Impact is measured by risk reduction in production, not theoretical results alone.
Minimum Qualifications
- Ph.D. or equivalent experience in machine learning, security, systems, or a related field.
- Demonstrated experience in applied ML security, adversarial ML, or systems security with real-world impact.
- Strong experimental and engineering skills, with an emphasis on reproducibility and operational relevance.
Preferred Qualifications
- Experience researching or securing LLM-based or tool-augmented ML systems.
- Ability to work fluidly across research, engineering, and security review processes.
- Track record of influencing production systems through research-driven insights.
- Publications in top venues are a plus, but production impact is the primary signal.
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 $184,700 and $277,600, 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.
At Apple, we believe privacy is a fundamental human right. Our Security Engineering & Architecture (SEAR) organization is at the forefront of protecting billions of users worldwide, building security into every product, service, and experience we create. The SEAR ML Security Engineering team combines cutting-edge machine learning with world-class security engineering to defend against evolving threats at unprecedented scale. We're responsible for developing intelligent security systems for Apple Intelligence that protect Apple's ecosystem while preserving the privacy our users expect and deserve. We're seeking a ML Security Research Scientist who operates at the intersection of applied research and production impact. You'll lead original security research on agentic ML systems deployed at scale—driving secure agentic design directly into shipping products, identifying real vulnerabilities in tool-using models and designing adversarial evaluations that reflect actual attacker behavior. You'll work at the boundary between research, platform engineering, and product security, translating findings into architectural decisions, launch requirements, and long-term hardening strategies that protect billions of users. Your impact will be measured by risk reduction in production systems that ship.
Description
This role focuses on applied security research for production ML systems, with an emphasis on agentic and tool-using models deployed at scale. You will lead research efforts that surface real security risks in shipped or near-shipped systems, and you will drive mitigations that integrate cleanly into Apple’s ML platforms and products. You will operate at the boundary between research, platform engineering, and product security, conducting original research grounded in real system behavior and translating it into concrete design changes, launch requirements, and long-term hardening strategies. Impact is measured by risk reduction in production, not theoretical results alone.
Minimum Qualifications
- Ph.D. or equivalent experience in machine learning, security, systems, or a related field.
- Demonstrated experience in applied ML security, adversarial ML, or systems security with real-world impact.
- Strong experimental and engineering skills, with an emphasis on reproducibility and operational relevance.
Preferred Qualifications
- Experience researching or securing LLM-based or tool-augmented ML systems.
- Ability to work fluidly across research, engineering, and security review processes.
- Track record of influencing production systems through research-driven insights.
- Publications in top venues are a plus, but production impact is the primary signal.
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 $184,700 and $277,600, 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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Senior Level Machine Learning Research Scientist Jobs: Frequently Asked Questions
How do I get a senior level machine learning research scientist job?
Employers at this level expect candidates to demonstrate independent research contributions, not just execution of assigned work. A strong publication record, open-source model releases, or documented production impact on large-scale systems all signal readiness. Interviewers will probe your ability to set research direction, justify architectural tradeoffs, and mentor junior scientists, so prepare to discuss projects where you owned outcomes from framing to delivery.
Which companies hire senior level machine learning research scientists?
Companies hiring senior level machine learning research scientists right now include SentiLink, Apple, and Lila Sciences, based on current listings on Migrate Mate as of November 2026. At this level, hiring covers established technology firms running large research labs, well-funded AI startups building foundation models, and enterprise organizations embedding research functions into core product teams.
Are there remote senior level machine learning research scientist jobs?
Yes, though availability varies by employer and research focus. About 88% of senior level machine learning research scientist openings are remote or hybrid as of November 2026, reflecting strong demand for experienced researchers who can collaborate effectively across distributed teams. Fully on-site roles tend to cluster at labs where hardware access or in-person collaboration is central to the research workflow.
What makes a machine learning research scientist role senior level?
Senior level roles are defined by scope and ownership rather than task complexity alone. At this stage, you're expected to identify research problems worth solving, design full experimental frameworks, and defend your methodology to technical leadership. You'll also mentor mid-level and junior scientists, contribute to hiring decisions, and translate research outcomes into roadmap priorities, moving well beyond executing a predefined research plan.
Which industries hire the most senior level machine learning research scientists?
Senior Level machine learning research scientist roles concentrate in Technology & Software, Biotechnology & Pharmaceuticals, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily at the senior level because they depend on proprietary model development, applied research pipelines, and the kind of deep domain expertise that takes years to build and directly influences competitive positioning.