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Specs Model Jobs (NOW HIRING)

HumanitApp

... the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing ...

Saic

Modeling and Simulation Engineer

Pearl City, HI · On-site

$120K - $160K/yr

Identifies equipment required, hardware specs, the software required, and builds software image and ... Model Interoperability (DIS, HLA, TENA). * Map and terrain data experience. * Model Development.

BridgePhase, LLC

LMP-1016

Wharton, NJ · On-site

... specs ECC 6.0 experience LMP lifecycle experience ABAP experience in BW MII experience Task Order Qualifications (Desired) 2 years of LMP experience in BW/BO Data modeling experience in BW DataMart ...

Run BiOS

Run BiOS is inference-first: open models behind one OpenAI-compatible API, priced per million ... Prioritize ruthlessly: write the specs, cut the scope, ship the thing. * Be the connective tissue ...

Latent Defense

Director of Product

Manhattan, NY · On-site

$200 - $250/hr

Translate a complex, adversarial domain (attack path modeling, agent orchestration, automated remediation) into clear specs and prioritized backlogs engineers can execute against * Run customer ...

BridgePhase LLC

LMP-1016

Wharton, NJ · On-site

... specs ECC 6.0 experience LMP lifecycle experience ABAP experience in BW MII experience Task Order Qualifications (Desired) 2 years of LMP experience in BW/BO Data modeling experience in BW DataMart ...

Collabera

HR Business Analyst

Boulder, CO · On-site

Business Analyst with experience writing functional integration specs for SAP and Salesforce.com ... Working knowledge of data warehouses / complex data models and the ability to identify how to best ...

SAIC

Modeling and Simulation Engineer

Pearl City, HI · On-site

$120K - $160K/yr

Identifies equipment required, hardware specs, the software required, and builds software image and ... Model Interoperability (DIS, HLA, TENA). * Map and terrain data experience. * Model Development.

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How much do specs model jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for specs model in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

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Machine Learning Infrastructure Engineer

Sunnyvale, CA • On-site

Institute of Foundation Models
See more jobs at Institute of Foundation Modelsexternal

$150K - $450K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you'll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
The Role
We're looking for a distributed ML infrastructure engineer to help extend and scale our training systems. You'll work side-by-side with world-class researchers and engineers to:
• Extend distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod)
• Implement distributed optimizers from mathematical specs
• Build robust config + launch systems across multi-node, multi-GPU clusters
• Own experiment tracking, metrics logging, and job monitoring for external visibility
• Improve training system reliability, maintainability, and performance
• While much of the work will support large-scale pre-training, pre-training experience is not required. Strong infrastructure and systems experience is what we value most.
Key Responsibilities
• Distributed Framework Ownership - Extend or modify training frameworks (e.g., DeepSpeed, FSDP) to support new use cases and architectures.
• Optimizer Implementation - Translate mathematical optimizer specs into distributed implementations.
• Launch Config & Debugging - Create and debug multi-node launch scripts with flexible batch sizes, parallelism strategies, and hardware targets.
• Metrics & Monitoring - Build systems for experiment tracking, job monitoring, and logging usable by collaborators and researchers.
• Infra Engineering - Write production-quality code and tests for ML infra in PyTorch or JAX; ensure reliability and maintainability at scale.
Qualifications
Must-Haves:
• 5+ years of experience in ML systems, infra, or distributed training
• Experience modifying distributed ML frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod)
• Strong software engineering fundamentals (Python, systems design, testing)
• Proven multi-node experience (e.g., Slurm, Kubernetes, Ray) and debugging skills (e.g., NCCL/GLOO)
• Ability to implement algorithms across GPUs/nodes based on mathematical specs
• Experience working on an ML platform/ infrastructure, and/or distributed inference optimization team
• Experience with large-scale machine learning workloads (strong ML fundamentals)
Nice-to-Haves:
• Exposure to mixed-precision training (e.g., bf16, fp8) with accuracy validation
• Familiarity with performance profiling, kernel fusion, or memory optimization
• Open-source contributions or published research (MLSys, ICML, NeurIPS)
• CUDA or Triton kernel experience
• Experience with large-scale pre-training
• Experience building custom training pipelines at scale and modifying them for custom needs
• Deep familiarity with training infrastructure and performance tuning
$150,000 - $450,000 a year
• Comprehensive medical, dental, and vision
• 401(k) program
• Generous PTO, sick leave, and holidays
• Paid parental leave and family-friendly benefits
• On-site amenities and perks: Complimentary lunch, gym access, and a short walk to the Sunnyvale Caltrain station

Apply