Senior Level Associate Machine Learning Engineer Jobs
Senior level associate machine learning engineer jobs place experienced engineers at the center of model architecture decisions, production system ownership, and the cross-functional teams that deliver at scale. Openings are concentrated across Technology & Software, Automotive, and Biotechnology & Pharmaceuticals, with a mix of on-site, remote, and hybrid settings, and employers like Plaid, Zoox, and Apple hiring at this level now.
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SUMMARY
Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply join something; you will contribute something meaningful. Spatial computing represents a transformative frontier where digital experiences merge seamlessly with physical environments. Through advanced sensor fusion, edge computing architectures, and efficient on-device models, we are redefining how people interact with technology in their everyday lives. This evolution enables entirely new possibilities while maintaining genuine human connection. Our computer vision and machine learning (CVML) team of researchers and engineers tackle previously unsolved technical challenges at the intersection of perception, intelligence, and real-time processing. We seek a driven and dedicated engineer with deep expertise in machine learning systems. As a member of our dynamic team, you will have the unique and rewarding opportunity to influence next-generation products that will captivate and inspire millions of people daily. Are you prepared to make a lasting impact on the future of technology?
DESCRIPTION
We seek a proactive Senior Machine Learning Engineer to join our team in designing and implementing advanced systems for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users. In this role, you will collaborate closely with computer vision and machine learning researchers to develop and ship world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of a unified context representation and a scalable, device-agnostic framework. You will help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of both real-time and historical contextual data, supporting advanced AI and machine learning models. Your work will span the full spectrum from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform flawlessly in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing.
MINIMUM QUALIFICATIONS
- B.S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.
- Strong experience in Python.
- Foundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems.
PREFERRED QUALIFICATIONS
- M.S., or Ph.D. or 5+ years of industry experience in machine learning or related fields.
- Working experience in C++ or Swift.
- Excellent math skills, including linear algebra, computational science and optimization.
- Creativity and curiosity for solving highly complex problems.
- Excellent communication and collaboration skills.
- An interest in incubating ideas and taking them to finish.
- Experience with iOS/macOS development.
- Experience shipping algorithms or publishing in top tier CVML conferences.
COMPENSATION
- Base pay range for this role is between $184,700 and $324,800, 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.
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.
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.
Apple accepts applications to this posting on an ongoing basis.
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Top Industries Hiring
- Technology & Software83
- Automotive11
- Biotechnology & Pharmaceuticals9
- Consulting & Professional Services9
- Electronics & Hardware8
Senior Level Associate Machine Learning Engineer Jobs: Frequently Asked Questions
How do I get a senior level associate machine learning engineer job?
Employers at this level look for engineers who have owned model development end-to-end, not just contributed to it. Demonstrating that you have driven production deployments, made architectural tradeoffs, and guided less experienced engineers puts you ahead. A portfolio of shipped systems, documented impact, and evidence of cross-functional collaboration signals readiness for senior scope better than credentials alone.
Which companies hire senior level associate machine learning engineers?
Companies hiring senior level associate machine learning engineers right now include Plaid, Zoox, and Apple, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of organizations, including technology-forward enterprises, applied research teams, and growth-stage companies scaling their ML infrastructure.
Are there remote senior level associate machine learning engineer jobs?
Yes, though the mix varies by employer and team structure. About 36% of senior level associate machine learning engineer openings are remote or hybrid as of November 2026, reflecting strong demand for experienced engineers who can operate independently across distributed teams. On-site roles do exist, particularly at companies with sensitive data infrastructure or close-knit research environments.
What makes an associate machine learning engineer role senior level?
Senior level roles are defined by ownership, not just contribution. At this stage, engineers set the technical direction for ML systems, take accountability for model performance in production, and mentor others on the team. The scope expands from executing tasks to shaping how problems are framed, what tooling is adopted, and how the team approaches quality and reliability.
Which industries hire the most senior level associate machine learning engineers?
Senior level associate machine learning engineer roles concentrate in Technology & Software, Automotive, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they operate at the scale and complexity that requires experienced engineers to lead model development rather than simply support it.