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Freelance Machine Learning Compiler Engineer Jobs in Lansing, MI

Bespoke Labs

Machine Learning Engineer

Lansing, MI · 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 ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

... Machine Learning (ML) concepts. • 3+ years designing, building, and managing Google Cloud ... programming in the JBOSS Enterprise SOA environment including JBOSS Workflow. • 3+ years using ...

Staffactory

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

Position: Programmer Analyst 6 Location: Lansing, MI 48933 Minimum Education Level: Bachelor ... advanced analytics, machine learning, and real-time data processing initiatives. The ideal ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

Applies machine learning algorithms and predictive models to solve complex business challenges ... with programming languages, especially Python and SQL, or equivalent; excellent communication ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · On-site

Applies machine learning algorithms and predictive models to solve complex business challenges ... with programming languages, especially Python and SQL, or equivalent; excellent communication ...

Auto-Owners Insurance

Data Scientist

Lansing, MI · On-site

An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc.

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Freelance Machine Learning Compiler Engineer information

See Lansing, MI salary details

$15

$48

$134

How much do freelance machine learning compiler engineer jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for freelance machine learning compiler engineer in Lansing, MI is $48.39, according to ZipRecruiter salary data. Most workers in this role earn between $24.62 and $62.64 per hour, depending on experience, location, and employer.

What is the difference between Freelance Machine Learning Compiler Engineer vs Freelance Software Developer?

AspectFreelance Machine Learning Compiler EngineerFreelance Software Developer
Required SkillsMachine learning frameworks, compiler optimization, programming (C++, Python)General programming, software design, various languages
Work EnvironmentProject-based, remote, often technical teams in AI/ML industryVaried industries, remote or on-site, broad application areas
Industry UsageAI/ML companies, research labs, tech firmsTech, finance, healthcare, startups, enterprise

Freelance Machine Learning Compiler Engineers focus on optimizing ML models for deployment, requiring specialized knowledge in ML frameworks and compiler technology. Freelance Software Developers have broader roles across various industries, working on diverse software projects. Both roles are in high demand but differ in technical focus and industry application.

What are popular job titles related to Freelance Machine Learning Compiler Engineer jobs in Lansing, MI? For Freelance Machine Learning Compiler Engineer jobs in Lansing, MI, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Compiler Engineer jobs in Lansing, MI look for? The top searched job categories for Freelance Machine Learning Compiler Engineer jobs in Lansing, MI are:
Freelance Machine Learning Compiler Engineer jobs near you

Machine Learning Engineer

Bespoke Labs

Lansing, MI • On-site

Full-time

Posted 11 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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