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World Labs Jobs in Delaware (NOW HIRING)

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 ...

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 ...

Senior Databricks Engineer - Remote - USA

Dover, DE · On-site +1

$122K - $161K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Building highly-skilled software development teams for hundreds of the world's greatest companies. * Having delivered hundreds of successful custom software solutions, which have positively impacted ...

Senior AWS DevOps Engineer - Remote - USA

Dover, DE · On-site +1

$129K - $166K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Building highly-skilled software development teams for hundreds of the world's greatest companies. * Having delivered hundreds of successful custom software solutions, which have positively impacted ...

... world. Our growing team of CRNAs provide patient-centered anesthesia for all types of surgical procedures, cardiac cath labs and OB. Nurse Anesthetists administer general, regional and monitored ...

Showing results 21-40

World Labs information

What is the difference between World Labs vs Data Analyst?

AspectWorld LabsData Analyst
Required CredentialsTypically requires a background in science, engineering, or related fields; certifications varyBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis tools
Work EnvironmentResearch labs, technology companies, or biotech firmsOffice settings, data centers, or remote work environments
Industry UsageUsed in scientific research, biotech, and tech industriesCommon across finance, marketing, healthcare, and tech sectors

World Labs professionals focus on scientific research and experimentation, often requiring technical and scientific credentials. Data Analysts interpret data to inform business decisions, typically needing analytical skills and certifications in data tools. While both roles involve data handling, World Labs is more research-oriented, whereas Data Analysts focus on data-driven insights for organizations.

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What cities in Delaware are hiring for World Labs jobs?

Cities in Delaware with the most World Labs job openings:

Infographic showing various World Labs job openings in Delaware as of August 2026, with employment types broken down into 1% Internship, 75% Full Time, 19% Part Time, 4% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Machine Learning Engineer

Bespoke Labs

Dover, DE • On-site

Full-time

Re-posted 27 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