13 ml infrastructure engineer jobs at 11 companies in Castle Pines, CO
2w
Save
Mark Applied
Hide
2w
Senior ML Engineer
San Francisco or Los Angeles or Denver or Austin or Chicago or New York City or Canada or Seattle or Santa Barbara or San Diego or Toronto
$152k-$228k/yrRemoteFull Time
Invoca: AI platform for conversation intelligence and revenue execution.
5+ YOE5+ years of ML engineering experience; advanced Python, PyTorch, and deep learning; production NLP model deployment; SLM/LLM fine-tuning; inference infrastructure; production APIs; MLOps and model monitoring.
Denver or San Francisco or New York City or San Jose or Scottsdale
$160k-$240k/yrHybridFull Time
Gusto: Cloud-based payroll and HR software for small businesses.
4+ YOERequires 4+ years of software engineering experience in Python, Ruby, or Java; ML infrastructure and platform-service experience; cloud-platform experience; and familiarity with AI frameworks and AI-assisted development tools.
BPLondon Stock Exchange: BP: BP explores, refines, and distributes global energy products.
Bachelor's degree or equivalent experience, production AI/ML platform experience, cloud expertise, CI/CD and infrastructure automation skills, and experience with governed model deployment, observability, security, and reliability.
Fort Carson or Colorado Springs or Charleston or Denver or San Diego
$110k-$180k/yrOnsiteFull Time
The Marlin Alliance: Provides digital transformation and automation services to defense agencies.
U.S. citizen with active Top Secret clearance. Experience building and securing cloud infrastructure, container orchestration, IaC, Linux, scripting, and supporting AI/ML platforms; ability to lift 50 lbs.
5+ YOEBachelor's degree or equivalent practical experience, 5 years of software development, 3 years of software product development and ML infrastructure, and 1 year of GenAI experience.
San Francisco or Los Angeles or Denver or Austin or Chicago or New York City or Seattle or Toronto or Santa Barbara or San Diego
$127k-$190k/yrRemoteFull Time
Invoca: AI platform for conversation intelligence and revenue execution.
5+ YOE5+ years in data or software engineering; advanced Python, SQL, Databricks, Spark, and data modeling; experience with orchestration, streaming, cloud infrastructure, data quality, ML datasets, and privacy; bachelor's degree or equivalent.
San Francisco or Atlanta or New York City or Denver or San Jose or Los Angeles or Seattle or Chicago or Austin or Dallas or Arlington
$154k-$239k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
8+ YOE8+ years technical experience, 3+ years designing and consulting on applications/infrastructure, experience in sales-facing technical roles, deep AI/ML knowledge, strong math/stat and communication skills.
KSL Capital Partners: Private equity firm investing in travel and leisure businesses.
5+ YOEBachelor’s degree in a technical or related field and 5+ years in data engineering, architecture, or related roles; requires Snowflake, SQL, dbt, pipeline, API, and AI/ML data infrastructure experience.
Phoenix or San Diego or San Francisco or Los Angeles or Denver or Portland or Seattle
$185k-$235k/yrOnsiteFull Time
World Wide Technology: Global technology solutions provider and systems integrator.
10+ YOEMinimum 10 years in technical pre-sales or solutions architecture; hands-on AI/ML infrastructure design experience; ability to whiteboard end-to-end AI architectures; bachelor’s degree required; experience with NVIDIA systems and public cloud platforms.
NVIDIA DGX/HGX, CUDA, AI Enterprise, NeMo, Omniverse, NVAIE, AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data
Irvine or Denver or Indianapolis or Grand Rapids or Lexington or Los Angeles or Louisville or Texas or San Francisco or United States
$218k-$225k/yrOnsiteFull Time
Trace3: Provides IT consulting and technology solutions for enterprise digital transformation.
12+ YOE5+ MgmtBachelor's in CS/EE or related; 12+ years enterprise infrastructure experience with 5+ years designing and implementing production-scale AI/ML/HPC (multi-rack GPU) and 5+ years people leadership; familiarity with GPU compute, high-performance networking, scale-out storage, Kubernetes/Slurm/Run:ai, and AI security; willingness to travel up to 50%.