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World Learning Jobs in Novi, MI (NOW HIRING)

Doist

Machine Learning Engineer, II - 3D Perception

Ann Arbor, MI · On-site

$153 - $184/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... world moves freight. Join us and catapult your career with the company that helped pioneer ... What You'll Do Design, develop, and improve machine learning models supporting Torc's perception ...

New

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Machine Learning Engineering Engineer 3 Dearborn, MI W2 Position Description: We are seeking an ... Innovative thinker with a passion for applying AI to solve real-world business challenges. Results ...

Lucid Motors

Perception Machine Learning Engineer - ADAS

Southfield, MI · On-site

$75K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our teams come from industries around the world, united by a shared commitment to excellence. By ... Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation ...

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Showing results 41-60

All JobsWorld Learning JobsWorld Learning Jobs in Novi, MI

World Learning information

See Novi, MI salary details

$25

$38

$65

How much do world learning jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for world learning in Novi, MI is $38.18, according to ZipRecruiter salary data. Most workers in this role earn between $27.74 and $49.62 per hour, depending on experience, location, and employer.

What is the difference between World Learning vs Education Coordinator?

AspectWorld LearningEducation Coordinator
Required CredentialsBachelor's degree, experience in international education or developmentBachelor's degree, experience in education program management
Work EnvironmentNonprofit organizations, international settings, educational programsSchools, educational institutions, nonprofit organizations
Employer & IndustryGlobal NGOs, educational nonprofitsSchools, educational agencies, nonprofits
Common Search & ComparisonWorld Learning vs Education Coordinator

While both roles involve educational program management, World Learning typically focuses on international development and global education initiatives within nonprofit organizations. Education Coordinators often work within local schools or educational institutions, managing programs and curricula. Understanding these differences helps job seekers identify roles aligned with their experience and career goals.

What are popular job titles related to World Learning jobs in Novi, MI?

For World Learning jobs in Novi, MI, the most frequently searched job titles are:

What job categories do people searching World Learning jobs in Novi, MI look for?

The top searched job categories for World Learning jobs in Novi, MI are:

What cities near Novi, MI are hiring for World Learning jobs?

Cities near Novi, MI with the most World Learning job openings:

World Learning jobs near you
Infographic showing various World Learning job openings in Novi, MI as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $79,417 per year, or $38.2 per hour.

Machine Learning Engineer

Bespoke Labs

Sterling Heights, MI • On-site

Full-time

Re-posted yesterday

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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