Distributed Compute jobs

Senior Technical Product Manager

Genomics England · Posted Nov 13, 2026

Open

London, England, United Kingdom +2 more
Hybrid
Full-time · Senior
£76K–£76K per year

Senior Technical Product Manager

Genomics England · Posted Nov 13, 2026

Open

London, England, United Kingdom +2 more
Hybrid
Full-time · Senior
£76K–£76K per year

Cloud Inference Engineer

Luminal · Posted Nov 7, 2026

Open

San Francisco, California, United States
On-site
Full-time
$150K–$250K per year

Apply with RefersoAI Apply on careers page

Deploy and tune models with optimizations like KV caching, paged attention, sequence packing, etc. Conduct model performance reviews, improve scheduler, batcher, autoscaling; profile latency, cost, utilization. Occasionally write kernels and engage in tasteful communication.

Compensation

Annual base salary: $150,000–$250,000 USD. Equity: 0.15%–0.75%. Visa: US citizen/visa only.

Responsibilities

Deploy and tune models with optimizations like KV caching, paged attention, sequence packing, etc.
Conduct model performance reviews
Improve scheduler, batcher, autoscaling; profile latency, cost, utilization
Occasionally write kernels and engage in tasteful communication

Skills

CUDA GPU inference optimization vLLM SGLang TensorRT-LLM KV caching paged attention batching token streaming

HPC AI/ML Platform Engineer

TEKsystems · Posted Oct 27, 2026

Open

Remote, United States
Remote
Contract · Mid
$100–$100 per hour
4+ years

Apply with RefersoAI Apply on careers page

Supporting one of the world's largest AI compute environments, operating and scaling multi-cloud infrastructure for GPU-intensive model training and deep learning research.

Compensation

The pay range for this position is $100.00 - $100.00/hr.

Responsibilities

Provision and operate large-scale compute environments
Manage Kubernetes-based infrastructure
Optimize GPU resource allocation
Support Slurm scheduling systems
Build automation that enables rapid AI platform growth

Requirements

Nice to have: Slurm job scheduling
Nice to have: ML training
Nice to have: inference
Nice to have: deep learning
Nice to have: large language model (LLM)

Skills

HPC AI/ML Infrastructure Machine Learning Platforms Deep Learning environments distributed compute GPU infrastructure

Quantitative Researcher

Statar Capital, LLC · Posted Nov 6, 2026

Open

Denver

Apply with RefersoAI Apply on careers page

Responsibilities

Research and develop systematic strategies across futures, with a strong emphasis on commodities, applying statistical and machine learning.
Own the research process end to end: experiment design, dataset generation, time-series analysis, feature engineering, model building, backtesting, and productionizing the signal.
Run research workloads efficiently on our distributed, cloud-based compute platform, and work with the platform engineer to shape new capabilities.
Collaborate closely with traders, engineers, and core technology teams to find the best expression of new ideas in the portfolio.
Document research findings with academic rigor

Requirements

BS
MS
PhD in Statistics, Mathematics, Physics, Computer Science, Engineering, Quantitative Finance, or a related quantitative field
Nice to have: successful quantitative trading strategies
Nice to have: commodities or energy markets

Skills

Python pandas PyTorch forecasting

Senior Machine Learning Engineer

Iterable · Posted Nov 6, 2026

Open

Remote, United States
Remote
Full-time · Senior
5+ years

Apply with RefersoAI Apply on careers page

As a Senior Machine Learning Engineer at Iterable, you will design and build end-to-end machine learning systems that power intelligence across our product.

Responsibilities

Build and ship core product ML capabilities including send-time/frequency optimization, recommendation engines, and campaign personalization.
Own the full model lifecycle end-to-end: EDA, feature engineering, distributed training, production deployment, latency monitoring, and online experimentation (e.g., multi-armed bandits, ensemble models).
Build and scale our data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes.
Partner with Backend and Platform teams to elevate feature serving, improve overall data architecture, and establish engineering standards across the team.
Mentor engineers on the team and help set the technical direction for ML at Iterable.

Requirements

Nice to have: Large-scale recommendation systems
Nice to have: Feature stores
Nice to have: Model observability tools
Nice to have: Infrastructure-as-Code
Nice to have: Terraform

Skills

Machine Learning Engineering Python Scala

Senior Technical Product Manager

Senior Technical Product Manager

Locations (3)

Compensation

Responsibilities

Requirements

Skills

Benefits

Cloud Inference Engineer

Compensation

Responsibilities

Skills

HPC AI/ML Platform Engineer

Compensation

Responsibilities

Requirements

Skills

Quantitative Researcher

Responsibilities

Requirements

Skills

Senior Machine Learning Engineer

Responsibilities

Requirements

Skills

Benefits