703 jobs for "ML Engineer"

Applied Machine Learning Engineer, Platform Architecture

At Apple - Cupertino

Posted on Oct 28

View job Apply on company site

Sr Machine Learning Engineer

At Uber - San Francisco

Posted on Nov 5

View job Apply on company site

Principal, AI/ML Engineer

At Fidelity Investments - Covington

Posted on Nov 4

View job Apply on company site

Senior Manager, Product Management - AI/ML Personalization

At Capital One - Chicago · Richmond

Posted on Nov 7

View job Apply on company site

C++/Python Software Engineer

At Cadence - Shanghai

Posted on Nov 2

View job Apply on company site

Senior Feature Engineer

At General Motors - Austin · Mountain View

Posted on Nov 6

View job Apply on company site

SCON_ AI_ London

At Infosys - London

Posted on Oct 24

View job Apply on company site

Senior Director AI, Chief Revenue Organization

At Equinix, Inc - Remote / Flexible

Posted on Oct 29

View job Apply on company site

Sr Software Engineer

At GE Vernova - Bengaluru

Posted on Nov 5

View job Apply on company site

Senior Data Scientist - TS/SCI Clearance Required

At Deloitte - Tampa

Posted on Oct 28

View job Apply on company site

INDStaff Software Engineer - AI

At The Hartford - Hyderabad

Posted on Nov 6

View job Apply on company site

Applied AI ML Director

At JPMorgan Chase - Palo Alto

Posted on Nov 3

View job Apply on company site

Software Engineer (Python, APIs, OCP/Kubernetes, Nvidia GPUs)

At PNC - Strongsville

Posted on Nov 6

View job Apply on company site

Staff AI Engineer

At Zoom - Seattle

Posted on Nov 4

View job Apply on company site

Machine Learning Engineer II - GenAI applications

At Booking.com - Tel Aviv

Posted on Oct 22

View job Apply on company site

Data Scientist

At Leidos - Odenton

Posted on Nov 5

View job Apply on company site

Principal Data Scientist

At Fidelity Investments - Boston

Posted on Oct 29

View job Apply on company site

Sr. Principal Software Software (Prisma AIRS Runtime Security)

At Palo Alto Networks - Santa Clara

Posted on Oct 23

View job Apply on company site

Software Systems Engineer, Data Labeling Engineering - Early Career

At General Motors - Seattle · Sunnyvale

Posted on Nov 4

View job Apply on company site

Machine Learning Engineer 4 - Manager IC

At Capital One - New York · McLean

Posted on Nov 7

View job Apply on company site

Apple

Applied Machine Learning Engineer, Platform Architecture

Cupertino, CA$184,700 – $277,600Posted 11 days ago

Apply on company site View full job

Join the SoC Architecture team building ML and generative AI systems that shape how future Apple silicon is architected and tuned. We're looking for an AI/ML Engineer who can turn complex hardware data into architectural insight. You will apply that expertise to studying and improving the performance and power behavior of modern System-on-Chip designs across the full product lifecycle: ML-driven research to identify what should change in hardware or software, hands-on partnership with silicon and OS teams to implement and bring those changes up on real silicon, and seeing them through to ship. This role is ideal for a hands-on ML engineer who is energized by both research and shipping product, and who thrives at the intersection of large-scale data, system architecture, and ML.

Description

You will join a multidisciplinary team of ML, software, and architecture engineers building systems that drive architectural exploration and tuning for current and future Apple SoCs. The work targets the full performance-power tradeoff space across fabric, memory subsystem, system caches, dynamic voltage and frequency state control, clock and power gating policies, sleep state controls, and bottleneck prevention.","responsibilities":"Design and build advanced ML and generative AI workflows to automate workload analysis and SoC architectural exploration.

Apply modern deep learning and generative AI techniques to large-scale workload data, including the time-series telemetry that is central to this work, to inform software and hardware architectural improvements.

Translate insights into concrete hardware and software changes that improve performance, power, and performance per watt.

Partner with hardware, software, and architecture teams across Apple to implement those changes, validate them on real silicon, and see them through to shipping product.

Preferred Qualifications

Working knowledge of SoC compute, memory, and power-management subsystems, how real workloads exercise them, and the C/C++ modeling infrastructure typical of SoC environments.

Depth in time-series analysis, including feature engineering on streaming telemetry.

Experience applying ML beyond prediction, including driving decisions, optimizing policies, and efficiently searching large configuration spaces.

Track record of training large-scale models across distributed clusters.

Experience building stateful, multi-turn agentic frameworks and complex execution flows.

M.S. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field and 10+ years of relevant experience.

Track record of moving quickly from hypothesis to result and iterating based on evidence.

Excellent communication and collaboration skills to work effectively across technical disciplines.

Minimum Qualifications

B.S. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

Applied ML industry experience deploying complex ML systems in production.

Experience applying modern ML techniques to large real-world datasets.

Programming experience in Python and experience in modern deep learning frameworks.

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 $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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

View company profile