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Machine Learning Ai Developer Jobs in Oregon (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Eugene, OR · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

iHerb

OR

$134K - $180K/yr

The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work closely with ...

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110K - $152K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Nextdoor

OR

$170K - $334K/yr

At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI ... engineers will use for years to come as we ramp up our effort to introduce machine learning into ...

Cresta

OR

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

Instacart

OR

You will help design and build end-to-end machine learning solutions. * You will be working in ... You will work closely with engineers, product managers, other teams, and both internal and external ...

Instacart

OR · On-site

Overview About the Role Are you excited about applying cutting-edge AI / ML models and technologies ... data engineering to machine learning & AI to frontend technologies and more. About the Job

Upstart

OR · On-site

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering-collaborating closely with Research Scientists, Data Scientists, and ML Platform ...

Deloitte

AI Solutions Architect

Portland, OR · On-site

$66.75 - $88/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist ... Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into ...

Deloitte

AI Engineer - SFL Scientific

Portland, OR · On-site

They are seeking an AI Engineer to work alongside data scientists and machine learning engineers to develop AI infrastructure and deployment services, focusing on modern data architecture and ...

Workday

Principal AI Engineer - Evisort

Beaverton, OR · On-site

About the Role As a Principal AI Engineer, you will help develop tailored user experiences using ... Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms ...

phData

OR · On-site

You will collaborate closely with clients, data scientists, data engineers, platform/DevOps teams ... Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.

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Machine Learning Ai Developer information

How much do machine learning AI developers make?

Machine Learning AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can earn higher salaries. Many positions also require proficiency in programming languages like Python and experience with frameworks such as TensorFlow or PyTorch.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and often involve managing large teams or strategic projects.

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

What engineers make $500,000?

Senior machine learning and AI engineers with extensive experience, advanced skills in deep learning, and expertise in tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized knowledge and impact on business outcomes.

Which 3 jobs will survive AI?

For a Machine Learning AI Developer, roles that require complex problem-solving, creativity, and human interaction are likely to persist, such as data scientists, AI ethics specialists, and AI system trainers. These jobs involve tasks that are difficult to automate fully and often require domain expertise, critical thinking, and ethical judgment. Continuous learning and staying updated with AI tools and frameworks are essential for long-term career resilience.
What are popular job titles related to Machine Learning Ai Developer jobs in Oregon? For Machine Learning Ai Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Machine Learning Ai Developer jobs in Oregon look for? The top searched job categories for Machine Learning Ai Developer jobs in Oregon are:
What cities in Oregon are hiring for Machine Learning Ai Developer jobs? Cities in Oregon with the most Machine Learning Ai Developer job openings:
Machine Learning Ai Developer jobs near you
Infographic showing various Machine Learning Ai Developer job openings in Oregon as of June 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Machine Learning Engineer

Bespoke Labs

Eugene, OR • On-site

Full-time

Posted 8 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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