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Machine Learning Engineer New Grad Jobs in Denver, CO

Bespoke Labs

Machine Learning Engineer

Denver, CO

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Thornton, CO · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Crowe LLP

Machine Learning Engineer

Denver, CO · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Capital Rx

Senior Machine Learning Engineer II

Denver, CO · On-site

$107K - $147K/yr

... Machine Learning Engineer II. We are looking for an experienced software engineer with machine ... New York, NY Salary Range $180,400--$225,500 USD Denver, CO Salary Range $165,600--$207,000 USD ...

Capital Rx

Senior Machine Learning Engineer I

Denver, CO · On-site

$126K - $166K/yr

We are looking for an experienced software engineer with machine learning expertise to join us in ... New York, NY Salary Range $161,600--$202,000 USD Denver, CO Salary Range $148,400--$185,500 USD ...

Signifyd

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 ... Expand ML Capabilities - Identify, prototype, and integrate new ML technologies and infrastructure ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Denver, CO

Machine Learning Engineer New Grad information

See Denver, CO salary details

$32.4K

$132.5K

$199.2K

How much do machine learning engineer new grad jobs pay per year?

As of Sep 5, 2026, the average yearly pay for machine learning engineer new grad in Denver, CO is $132,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $159,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Denver, CO?

For Machine Learning Engineer New Grad jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer New Grad jobs in Denver, CO look for?

The top searched job categories for Machine Learning Engineer New Grad jobs in Denver, CO are:

What cities near Denver, CO are hiring for Machine Learning Engineer New Grad jobs?

Cities near Denver, CO with the most Machine Learning Engineer New Grad job openings:

Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Denver, CO as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $132,539 per year, or $63.7 per hour.

Machine Learning Engineer

Bespoke Labs

Denver, CO

Full-time

Re-posted 20 days ago

Job description

  • Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch

  • Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics

  • Implement methods from recent ML papers quickly and turn them into production-grade systems

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