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Quantitative Researcher Machine Learning Jobs in Oregon

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

$130K - $150K/yr

... machine learning workflows. Leverage Python for data preparation, model training, and result ... Quantitative Modeling Expertise: 5+ years of experience developing statistical, econometric, or ...

OR · On-site

$104K - $143K/yr

Work closely with autonomy researchers, software engineers, systems teams, and field operators to ... software engineering, machine learning engineering, MLOps, or related roles * Experience ...

OR

$91K - $124K/yr

Overview As a Senior Machine Learning Engineer II on the Ads Response Prediction team, you will ... quantitative field. * 6+ years of combined academic and industry experience (including PhD research ...

Senior Staff Machine Learning Scientist, Assets

OR · On-site +1

$91K - $124K/yr

We're looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems ... Lead and drive ambitious research initiatives that advance the state of the art in computer vision ...

OR

$104K - $143K/yr

You will partner closely with applied researchers, product managers, designers, forward deployed ... Design, train, evaluate, and deploy machine learning systems that power real-time voice experiences ...

OR · On-site

... related quantitative field. 5+ years of relevant experience building machine learning models on ... Experience applying GenAI to boost developer/research productivity. Generally, our compensation ...

OR · On-site

$466K - $750K/yr

Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or related quantitative field. Proficiency in Python, Scala or Java. Deep knowledge of machine learning, optimization ...

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... Translate cutting-edge research advances into practical, high-impact production systems.

... related quantitative field. 7+ years of industry experience building and shipping production ML ... Deep knowledge of machine learning, optimization, and data analysis techniques. Experience in ad ...

... related quantitative field. 7+ years of industry experience building and shipping production ML ... Deep knowledge of machine learning, optimization, and data analysis techniques. Experience in ad ...

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 ... research into scalable, production-grade systems. * Agent & System Quality: Design evaluation ...

OR · On-site

$466K - $750K/yr

Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or related quantitative field. Proficiency in Python, Scala or Java. Deep knowledge of machine learning, optimization ...

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Quantitative Researcher Machine Learning information

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Machine Learning Engineer

Bespoke Labs

Eugene, OR • On-site

Full-time

Posted 23 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