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Founding Product Engineer
True Talent Solutions Partners
San Francisco, CA
- $170,000 to $220,000 USD / year
…trial recruitment and patient support. As a founding product engineer, you will help shape the product and build full-stack features that connect patients with relevant clinical…
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Member of Technical Staff, Full Stack
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $200,000 USD / year
- Improve data models for evaluation datasets, experiment runs, agent traces, knowledge versions, findings, and customer-defined quality criteria.
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Data Engineer, Data Product
True Talent Solutions Partners
New York, NY
- $180,000 to $225,000 USD / year
- Work with data scientists, platform engineers, and customer-facing teams to translate ambiguous questions into scalable data products.
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Senior/Staff Software Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $270,000 USD / year
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Forward Deployed Engineer, Infrastructure
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $300,000 USD / year
Join an AI infrastructure team to lead deployments of machine learning software in enterprise customer environments, from cloud VPCs to on-premises infrastructure. You will work directly…
Added 1 min ago
Systems Engineer II
Mlt Systems
Stafford, VA
…fulfill their passion for service. In support of Product Manager Engineer Systems, we are seeking a Systems Engineer II with experience in supporting DOW Federal acquisition programs;…
Added 1 min ago
CO
Development Services Supervising Engineer
County of San Luis Obispo
San Luis Obispo, CA
- $60.13 to $80.6 USD / hour
The Department of Public Works is seeking a Supervising Engineer to join our Development Services team.
Added 1 min ago
Test & Analytics Engineer
Stord, Inc.
Atlanta, GA
With Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. Stord’s end-to-end commerce solutions combine best-in-class omnichannel…
Added 2 mins ago
IT Support and Network Engineer
INTERCOASTAL MEDICAL GROUP
Sarasota, FL
We are seeking an experienced IT Support & Network Engineer to join our technology team supporting a large, multi-site medical group. This position combines hands-on technical support,…
Added 2 mins ago
Process Engineer II/III - API (Recovery) Mon-Fri shift
Clayton
…processes including ensuring system & equipment reliability to meet customer, business, and regulatory requirements. Provide routine support and troubleshooting for the manufacturing…
Added 2 mins ago
GI
Senior Software Engineer, Compute Platform
GitHub, Inc.
United States
- $127,800 to $339,000 USD / year
As a Senior Software Engineer on Compute Platform, you will work with a distributed team to contribute to the technical direction of a Kubernetes platform that hundreds of internal teams…
Added 2 mins ago
Application Engineer Specialist
SKF
Blue Bell, PA, PA
The Application Engineer at SKF is tasked with working closely with a team of engineers to understand and select SKF product solutions (bearings, seals, lubrication, condition monitoring,…
Added 2 mins ago
Mechanical Designer - Beta Star
R-V Industries Inc
Honey Brook, PA
R-V Industries is a design and build manufacturer of custom industrial process equipment. We engineer to order, as well as build to print, a wide variety of specialty equipment. Most of our…
Added 2 mins ago
Customer Service Engineer
Worldwide TechServices
Andover, MA
The Customer Service Engineer - is an intermediate position that performs tasks related to the repair of a variety of technology-based products typically associated in an end-user computing…
Added 2 mins ago
CI
Information Security Engineer
Cylake, Inc
Sunnyvale, CA
- $150,000 to $250,000 USD / year
…implementation and operation. You will also be the de-facto first customer of our cybersecurity platform. In this role, you will safeguard the network, cloud environment, application and…
Added 2 mins ago
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(1119988) Autonomous Truck Integration and Validation Engineer (2nd Shift)
Diversified Services Network, Inc.
Tucson, AZ
- $88,000 to $94,000 USD / year
DSN is seeking an Autonomous Truck Integration & Validation Engineer to join a 2nd shift team supporting autonomous haul truck testing. This onsite position is based in Tucson, AZ, and…
Added 2 mins ago
DS
(1119997) Autonomous Systems Test & Validation Engineer
Diversified Services Network, Inc.
Tucson, AZ
- $84,000 to $89,000 USD / year
DSN is seeking an Autonomous Truck Integration & Validation Engineer to join a 1st shift team supporting autonomous haul truck testing. This onsite position is based in Tucson, AZ, and…
Added 2 mins ago
Continuous Improvement & Quality Assurance Manager
our team
Michigan City
Direct containment, investigation, and corrective action for nonconforming materials, product defects, customer concerns, and supplier quality issues.
Added 2 mins ago
Senior Software Engineer
Abbott Laboratories
Madison, WI
The Senior Software Engineer is a hands-on builder within the product-led Software Engineering team in Abbott’s cancer diagnostics division, focused on Digital Engineering and Integrations.…
Added 3 mins ago
Senior Staff AI / ML Solutions Engineer
PPD Development, LP
Morrisville, NC
We have a new opening within the Clinical Research Group (CRG) of Thermo Fisher for a Senior Staff AI/ML Solutions Engineer to support the Finance organization and serve as the hands-on…
Added 3 mins ago
Drafter Designer - Royal Switchgear
MacLean Power Systems
Bessemer, AL · Alabaster, AL · Birmingham, AL
Interact with the development, programmer, and manufacturing engineer to develop CAD models and engineering drawings to support the production of prototypes, final design, manufacturing and…
Added 3 mins ago
Systems Engineer (5827) (Kirtland AFB, New Mexico) (TS/SCI)
Space Programs
Kirtland AFB, NM
…GEO), ! We build, integrate, and operationally support our customer's emerging mission systems to include real-time data processing frameworks, sensor data processing, and data…
Added 3 mins ago
Information Assurance/Security Engineer IV (5828) (Kirtland AFB, New Mexico) (TS/SCI)
Space Programs
Kirtland AFB, NM
…GEO), ! We build, integrate, and operationally support our customer's emerging mission systems to include real-time data processing frameworks, sensor data processing, and data…
Added 3 mins ago
Machine Learning Engineer
Central Insurance Company
Dublin, OH · Van Wert, OH · Alpharetta, GA · Irving, TX · Waltham, MA
We are a team of employees who are passionate to deliver best in-class customer service and innovation in the industry. It's because we put Integrity, Relationships and Excellence in all…
Added 3 mins ago
T-Ads Sr Engineer, Software
T-Mobile USA, Inc.
NY
This role is essential for designing, implementing, and deploying scalable software solutions that meet customer requirements and support high availability environments. The role involves…

Apple

Staff Machine Learning Engineer - Commerce & Growth Intelligence

Cupertino, CA, United States
San Francisco, CA, United States

The base pay range for this role is between $216,200 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

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Job details

Pay: The base pay range for this role is between $216,200 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Experience: Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or Electronic Engineering and 12+ years of relevant work experience.
Posting language: English
Posted: Nov 4, 2026

Original job description

Summary The Commerce & Growth Intelligence team is looking for a Staff Machine Learning Engineer to build the systems that bring ML capabilities into customer-facing products.

Our work spans model inference, distributed ML workloads, data processing, and integration with cloud services and on device intelligence on Apple devices. You’ll help shape how these components fit together and build the software that connects them - from making a model available through a reliable inference service to enabling a fine-tuning workflow to handle larger datasets and workloads. Your primary focus will be model inference and shared ML infrastructure, with opportunities to extend that work into training, fine-tuning, data processing, and device-to-cloud integration.

This is a hands-on technical leadership role with ownership of architectural decisions and delivery across teams.

Description You’ll lead engineering projects across the AI/ML stack, working with modeling, infrastructure, and product teams to turn emerging capabilities into production software. Modeling partners lead model architecture and quality evaluation; you’ll lead the engineering systems and integrations that support training, deployment, and product use, while collaborating on model iteration and fine-tuning. You’ll combine depth in a core area with the ability to work across system boundaries. The work also includes choosing and extending open-source infrastructure, designing interfaces between components, and resolving practical constraints involving performance, reliability, compute resources, and deployment environments.

Responsibilities

Build inference systems for product workloads. Develop services and APIs for model execution, including request routing, batching, concurrency, and scaling. Make tradeoffs among latency, throughput, memory use, and compute cost. Develop shared ML infrastructure. Adopt and extend open-source and Apple-developed technologies where appropriate, to build reusable components across models and applications. Scale fine-tuning and training workflows. Partner with modeling teams to improve distributed job execution, data loading, checkpointing, failure recovery, and accelerator utilization. Responsibilities may also include iterating on and fine-tuning foundation models and custom-built models. Build data-processing workflows for ML. Use distributed processing to join, filter, deduplicate, and transform large datasets into reproducible inputs for training and batch inference. Address bottlenecks in data movement and processing. Connect ML systems with product software. Design interfaces and implement integrations across inference services, backend applications, and on-device components, working with client engineers on iOS and device-to-cloud workflows. Set technical direction and deliver it. Turn ambiguous requirements into architecture and implementation plans, align teams on interfaces and ownership, and lead projects from prototyping through production. Raise engineering quality through hands-on leadership. Build critical components, diagnose issues across data, model execution, and application boundaries, and mentor engineers through design reviews and implementation.

Minimum Qualifications Experience shipping production ML systems or ML-powered applications, with ownership of significant architecture and implementation decisions. Deep expertise in at least one relevant area, such as model inference, distributed computing, ML infrastructure, or data systems for ML. Strong programming and software engineering skills, including system design, API design, testing, and debugging complex software. Practical experience integrating ML models into software systems and understanding their execution and deployment requirements. A track record of leading technical initiatives across teams, resolving architectural tradeoffs, and delivering working systems. Experience investigating performance and reliability problems and driving improvements based on measured results. Ability to communicate technical decisions clearly, build alignment across disciplines. Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or Electronic Engineering and 12+ years of relevant work experience.

Preferred Qualifications Distributed ML execution and model serving using Ray, Ray Serve, or comparable technologies. Model optimization and deployment using inference runtimes such as ONNX Runtime, Core ML, or comparable systems. Distributed training or fine-tuning, including job orchestration, checkpointing, and GPU or other accelerator workloads. Large-scale data processing with Spark, Flink, or comparable tools, including dataset preparation for ML. Go for backend services and inference APIs. Swift for iOS services, daemons, or on-device ML integration. Experience with Python for ML workflows, data processing, tooling, or backend services; experience applying Python to agent workflows and tool integration using LangGraph, Model Context Protocol (MCP), or related technologies is an additional plus. Applications that combine on-device capabilities with cloud-based models and services. Master’s degree in Computer Science, Computer Engineering, Information Systems, or Electronic Engineering and 8+ years of relevant work experience.

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 $216,200 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. 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.

EEO Statement 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

Accessibility 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

Application Deadline Apple accepts applications to this posting on an ongoing basis.

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More about this job

Skills

Machine learning
Workflow
ML
Process data
Industrial software
Distributed computing
API development
Debugging
Computer science
Computer engineering
Swift
Python

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