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Internship Junior Machine Learning Engineer Jobs in Spokane, WA

Bespoke Labs

Machine Learning Engineer

Spokane, WA

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 ...

Bespoke Labs

Machine Learning Engineer

Spokane, WA · On-site

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 ...

Corporate Tools

Junior Software Engineer

Post Falls, ID · On-site +1

$75K/yr

Overview Corporate Tools is hiring a Junior Software Engineer. You will be a traditional company ... We love learning, experimenting, and finding better ways to solve problems-as long as we're ...

Keytronic

MFG Engineering Internship

Spokane Valley, WA · On-site

$20/hr

Our interns work alongside seasoned and talented engineers to learn and provide meaningful ... A Junior or Senior level Engineering Student or related studied with equivalent education level ...

Kaiser Aluminum

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

... Engineering is required. A PhD is preferred. * Excellent experience in statistical analysis and ... Experience with the advanced computing technologies and algorithms, such as machine learning, to ...

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Internship Junior Machine Learning Engineer information

See Spokane, WA salary details

$33.9K

$72.6K

$110.7K

How much do internship junior machine learning engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for internship junior machine learning engineer in Spokane, WA is $72,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $80,900.00 per year, depending on experience, location, and employer.

What is the difference between Internship Junior Machine Learning Engineer vs Data Analyst Intern?

AspectInternship Junior Machine Learning EngineerData Analyst Intern
Required skillsBasic programming, understanding of ML algorithms, Python, data preprocessingData visualization, SQL, Excel, statistical analysis
Work environmentTech companies, AI startups, research labsBusiness, marketing, finance sectors
Common industry usageDeveloping ML models, data pipelinesInterpreting data, generating reports

Internship Junior Machine Learning Engineers focus on building and optimizing machine learning models, requiring programming and algorithm knowledge. Data Analyst Interns analyze data sets to generate insights, emphasizing visualization and statistical skills. Both roles are entry-level internships but serve different functions within data-driven projects.

What are popular job titles related to Internship Junior Machine Learning Engineer jobs in Spokane, WA? For Internship Junior Machine Learning Engineer jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Internship Junior Machine Learning Engineer jobs in Spokane, WA look for? The top searched job categories for Internship Junior Machine Learning Engineer jobs in Spokane, WA are:
Internship Junior Machine Learning Engineer jobs near you
Infographic showing various Internship Junior Machine Learning Engineer job openings in Spokane, WA as of July 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $72,598 per year, or $34.9 per hour.

Machine Learning Engineer

Bespoke Labs

Spokane, WA

Full-time

Re-posted 19 days ago

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

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