Jobs in the United States

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Added 42 mins ago
Embedded SW Engineer
Trane Technologies
La Crosse, WI
1- 3 years of C++ or similar object-oriented software design experience required · Must have excellent verbal, written, and interpersonal skills
Added 42 mins ago
LR
Software Engineer
Levi, Ray & Shoup, Inc.
Waukesha, WI
- $50 to $65 USD / hour
Codeworks, an LRS company, is seeking a Software Engineer to support the development of next-generation technology. This contract role is ideal for an early-career software engineer who…
Added 43 mins ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Madison, WI
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 1 hour ago
TT
Software Engineer, Marketplace
True Talent Solutions Partners
San Francisco, CA
- $250,000 to $300,000 USD / year
The role is based in the office five days per week, Monday through Friday.
Added 1 hour ago
TT
Senior/Staff Software Engineer, Platform
True Talent Solutions Partners
New York, NY
- $180,000 to $270,000 USD / year
- Design financial data infrastructure that ingests, normalizes, and reconciles information from ERP, banking, billing, payroll, and CRM systems.
Added 1 hour ago
Senior Director, Software and Quality Engineering
OneStream
United States
Invest in test infrastructure, environments, and data, and partner with Support and Customer Success to turn customer-found issues into prevention.
Added 1 hour ago
Forward Deployed Engineer (Alluvial)
Jacobs
Portland, OR
Location: Hybrid 2 days per week at any US based Jacobs office
Added 1 hour ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Salem, OR
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 2 hours ago
TT
Lead Platform Engineer
True Talent Solutions Partners
South San Francisco, CA
- $205,000 to $235,000 USD / year
Lead platform engineering for the compute, data, AI, and security infrastructure behind a biotechnology sequencing operation. You will combine hands-on engineering with technical leadership…
Added 2 hours ago
TT
Senior Software Engineer, Customer Studio Backend
True Talent Solutions Partners
Remote, United States
- $180,000 to $320,000 USD / year
Join the backend team building a no-code platform that helps customers activate data directly from their warehouse. This senior role combines distributed systems engineering with product…
Added 2 hours ago
TT
Senior Security Engineer
True Talent Solutions Partners
San Francisco, CA
- $190,000 to $250,000 USD / year
Join a growing AI-focused fintech team as a hands-on Senior Security Engineer, owning and advancing application security in a regulated banking environment. This individual contributor role…
Added 2 hours ago
A/AI Machine Learning Engineer
Lockheed Martin
Manassas, VA
Building data pipelines to ingest data from a variety of sources
Added 2 hours ago
IG
Remote AI Engineer
Insight Global
Norfolk, VA
- $56 to $82 USD / hour
Insight Global is seeking a qualified Remote AI Engineer in support of one of our large federal clients in Norfolk, VA. This candidate will be responsible for designing, building, and…
Added 2 hours ago
DSCA Data Engineer Mid (Software Development Analyst) - 31121
Huntington Ingalls Industries
Arlington, VA
Clearance: Must possess and maintain an active Secret clearance at the time of consideration
Added 2 hours ago
Data Engineer 4 (Risk Tech)
Capital One
McLean, VA · Richmond, VA
…real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. In this role, you’ll be at the forefront of…
Added 2 hours ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Richmond, VA
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 2 hours ago
AIML - Sr. LLM Inference Quality Engineer
Apple
Seattle, WA
Apple is building the next generation of AI data center infrastructure to power large language model (LLM) services at scale. We are looking for a senior engineer to own the correctness,…
Added 2 hours ago
Staff / Principal ML Infrastructure Engineer
Apple
Cupertino, CA
As a Staff/Principal ML Infrastructure Engineer on the team, you will architect the on-disk format, indexing structures, transactional metadata layer, and Rust data plane and training data…
Added 2 hours ago
CL
Machine Learning Engineer
Clay Labs
San Francisco, CA
- $170,000 to $300,000 USD / year
…product that gets smarter every time someone uses it. This means data, ML, and AI are at the heart of everything we are building. We're looking for a Machine Learning Engineer to join the…
Added 2 hours ago
Software Engineer
INNOVA SOLUTIONS INC
SALT LAKE CITY, UT
Added 2 hours ago
Electrical Engineer
INNOVA SOLUTIONS INC
SALT LAKE CITY, UT
Added 2 hours ago
Software Engineer
INNOVA SOLUTIONS INC
SALT LAKE CITY, UT
Added 2 hours ago
Software Engineer
INNOVA SOLUTIONS INC
SALT LAKE CITY, UT
Added 2 hours ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Salt Lake City, UT
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 2 hours ago
TT
Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $170,000 to $220,000 USD / year
On-site in New York, New York, five days per week, with occasional travel to client sites.

Staff / Principal ML Infrastructure Engineer

Cupertino, CA, United States

The base pay range for this role is between $262,500 and $394,000, and your base pay will depend on your skills, qualifications, experience, and location.

Apply on jobs.apple.com About employer

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Job details

Pay: The base pay range for this role is between $262,500 and $394,000, and your base pay will depend on your skills, qualifications, experience, and location.
Experience: 10+ years of experience building storage engines, table or file formats, database internals, or high-performance distributed data and ML systems.
Posting language: English
Posted: Nov 13, 2026

Original job description

Summary The Apple AI Platform team builds the foundational data storage, table format, and high-throughput data-loading systems powering Apple Foundation Models and large-scale ML training. We are designing and building an AI-native table format from the ground up: combining transactional snapshot isolation, concurrent updates, and multimodal schema evolution with built-in global indexing and sub-millisecond random access across multi-petabyte datasets on thousands of GPUs and TPUs.

Description As a Staff/Principal ML Infrastructure Engineer on the team, you will architect the on-disk format, indexing structures, transactional metadata layer, and Rust data plane and training data loader that Apple's largest training workloads run on.

Responsibilities

Architect our next-generation AI-native table and indexing format: design the on-disk layout, snapshot isolation and time-travel metadata, optimistic concurrency control (OCC) for concurrent writers, zero-copy selection and deletion bitmaps, and multimodal column-group evolution across multi-petabyte datasets. Design and build compressed global indexing and random-access primitives: enable true global shuffling and single-RTT ranged object-store reads across tens of millions of files (ArrayRecord, Parquet, Lance) without exhausting host memory. Lead the core Rust data plane and high-performance training data loader: architect the off-GIL async transport, zero-copy Arrow and record decoding, range coalescing, and tail-latency request hedging that keep multi-thousand-chip GPU and TPU jobs compute-bound. Bridge storage engine internals with ML training frameworks: own the integration contracts between our storage and table layer and JAX (Grain), PyTorch, and Hugging Face for pre-training, mid-training, SFT, and RL workloads. Make system-level design calls backed by hardware and network math: benchmark and prove throughput, memory footprint, QPS scaling, and tail latency on real cluster workloads before shipping. Raise the engineering bar across the organization: mentor senior engineers, lead design and code reviews in Rust and Python, and partner with foundation-model research and data-platform teams across Apple.

Minimum Qualifications 10+ years of experience building storage engines, table or file formats, database internals, or high-performance distributed data and ML systems. Proven track record of designing and implementing table or file format internals (such as Apache Iceberg, Lance, Delta Lake, Parquet, Arrow, Vortex, Riegeli/ArrayRecord, RocksDB/LSM trees, or custom indexing and compaction engines), not just consuming them via high-level APIs. Production systems programming mastery in Rust or C++ (Rust strongly preferred for our core data plane), plus Python/PyO3 for ML framework bindings. Deep hands-on expertise in low-level I/O and memory performance engineering: mmap, zero-copy memory layouts, SIMD and vectorized decoding, RoaringBitmaps, async runtimes (tokio), and high-throughput S3 and GCS object-store client internals (range coalescing, connection pooling, tail-latency hedging). Strong understanding of transactional storage semantics: snapshot isolation, MVCC and optimistic concurrency control, manifest trees, and metadata scaling at millions of files and tens of billions of rows. Working knowledge of how large-scale distributed training (JAX/Grain, PyTorch) consumes data across GPU and TPU meshes (global shuffling, sequence packing, deterministic checkpoint and resume, host-to-device memory pipelines). Track record of setting technical direction across teams, shipping production systems at petabyte scale, and elevating senior engineers. B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or equivalent practical experience.

Preferred Qualifications Core contributor or committer experience on Apache Iceberg, Apache Arrow, Parquet, Lance, Vortex, DataFusion, Velox, DuckDB, Polars, Daft, or RocksDB. Experience designing or scaling ML training data loaders and formats (PyGrain, ArrayRecord/Riegeli, Megatron-LM .idx/.bin, Mosaic StreamingDataset, Ray Data, or NVIDIA DALI/AIStore) on multi-hundred-host GPU and TPU clusters. Experience designing multimodal dataset storage (combining pre-tokenized sequences, audio, image, and video blobs, and evolving feature or label columns without full dataset rewrites). Experience with formal correctness or high-rigor verification practices (differential parity testing, property-based fuzzing, or state-machine modeling for concurrent commits).

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 $262,500 and $394,000, 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.

Apply on jobs.apple.com About employer

More about this job

Skills

ML
PyTorch
Hugging Face
Rust
Python
Type of file
C++
Computer science
Computer engineering

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Work requirements

Jobs in the United States