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Machine Learning Engineer Starting Jobs in Fort Wayne, IN

Bespoke Labs

Machine Learning Engineer

Fort Wayne, IN · 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 ...

Varsity Tutors

Machine Learning Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

SynergisticIT

Junior Java/C++ Developer

Fort Wayne, IN · On-site

$61K - $79K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Sabert Corporation

Lead Data & AI Engineer

Fort Wayne, IN · On-site

$105K - $126K/yr

Build and operationalize end-to-end machine learning pipelines supporting anomaly detection ... Strong expertise in data engineering, data modeling, database design, and modern data architectures ...

Sabert

Lead Data & AI Engineer

Fort Wayne, IN

$105K - $126K/yr

The Data & AI Platform Engineer at Sabert Corporation plays a strategic and hands-on role at the ... Build and operationalize end-to-end machine learning pipelines supporting anomaly detection ...

DataAnnotation

SDLC Engineer - AI Trainer

Fort Wayne, IN · Remote

$50 - $100/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-100+/hr, with bonus rates available on some projects ...

DataAnnotation

QA Engineer - AI Trainer

Fort Wayne, IN · Remote

$50 - $100/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-100+/hr, with bonus rates available on some projects ...

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Machine Learning Engineer Starting information

See Fort Wayne, IN salary details

$29K

$118.7K

$178.3K

How much do machine learning engineer starting jobs pay per year?

As of Jun 29, 2026, the average yearly pay for machine learning engineer starting in Fort Wayne, IN is $118,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $142,900.00 per year, depending on experience, location, and employer.
What cities near Fort Wayne, IN are hiring for Machine Learning Engineer Starting jobs? Cities near Fort Wayne, IN with the most Machine Learning Engineer Starting job openings:
Machine Learning Engineer Starting jobs near you

Machine Learning Engineer

Bespoke Labs

Fort Wayne, IN • On-site

Full-time

Posted 11 days ago

Key responsibilities

  • Work directly with the research team on RL environment and task creation for agent training.

  • Design observation spaces, action spaces, reward signals, and success criteria for new environments.

  • Build infrastructure that enables world-scale RL training.

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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