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Associate Full Stack Machine Learning Engineer Jobs in Arvada, CO

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

... full context of property management workflows. This foundation allows us to build context-aware ... Training & Fine-Tuning Stack: Build the training and fine-tuning stack for Small Language Models ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... Stack: Proficiency in Python , SQL, key ML libraries, and Spark * Mindset: A strong outcome ...

Sr. Machine Learning Engineer

Denver, CO · On-site

$107K - $147K/yr

... full context of property management workflows. This foundation allows us to build context-aware ... Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands ...

Full Stack Engineer

Denver, CO · On-site

$85K - $115K/yr

Full Stack Engineer, Helly Hansen IT The Role: The role of Full Stack Engineer is reporting to the Sr. Director, eCommerce Technology Delivery, will provide technical expertise on the design and ...

About the role We're looking for a Full-Stack engineer who wants to build, own, and ship end-to-end product experiences in a fast-moving environment. This role is ideal for someone who is comfortable ...

Showing results 21-40

Associate Full Stack Machine Learning Engineer information

See Arvada, CO salary details

$45.3K

$137.2K

$193.9K

How much do associate full stack machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for associate full stack machine learning engineer in Arvada, CO is $137,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $160,800.00 per year, depending on experience, location, and employer.

What cities near Arvada, CO are hiring for Associate Full Stack Machine Learning Engineer jobs?

Cities near Arvada, CO with the most Associate Full Stack Machine Learning Engineer job openings:

Machine Learning Engineer

Bespoke Labs

Denver, CO • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination