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Trainee Gcp Data Engineer Jobs in Springfield, MO

Bespoke Labs

Machine Learning Engineer

Springfield, MO · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark ...

Johnson Controls

Fire Detection Inspector

Springfield, MO · On-site

$18.36 - $25.28/hr

... as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For ... Make minor repairs and programming changes to systems being inspected. * Provide technical training ...

Johnson Controls

Fire Detection Inspector

Springfield, MO · On-site

$18.36 - $25.28/hr

... as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For ... Make minor repairs and programming changes to systems being inspected. * Provide technical training ...

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Trainee Gcp Data Engineer information

See Springfield, MO salary details

$40.5K

$118K

$161.5K

How much do trainee gcp data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for trainee gcp data engineer in Springfield, MO is $117,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,100.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Gcp Data Engineer vs Junior Data Engineer?

AspectTrainee Gcp Data EngineerJunior Data Engineer
Required CredentialsBasic understanding of GCP, entry-level certificationsSome certifications, practical experience preferred
Work EnvironmentTraining programs, supervised projectsReal-world data projects, team collaboration
Employer & Industry UsageEntry-level roles in tech and data companiesFull-time roles in data engineering teams

The Trainee Gcp Data Engineer is an entry-level position focused on learning GCP data tools, often in a training setting. A Junior Data Engineer typically has some practical experience and works on real data projects. While both roles involve GCP data services, the trainee role emphasizes learning and development, whereas the junior role involves applying skills in a professional environment.

What are popular job titles related to Trainee Gcp Data Engineer jobs in Springfield, MO? For Trainee Gcp Data Engineer jobs in Springfield, MO, the most frequently searched job titles are:
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Trainee Gcp Data Engineer jobs near you

Machine Learning Engineer

Bespoke Labs

Springfield, MO • On-site

Full-time

Re-posted 21 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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