* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Logan, UT · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Logan, UT · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Ogden, UT · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Ogden, UT · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Orem, UT · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Orem, UT · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Internship - Machine Learning Engineer
Salt Lake City, UT · On-site
$110 - $150/hr
We are looking for a Machine Learning Engineer to own the end-to-end lifecycle of ML models in production at Smule, from training and optimization through deployment, monitoring, and iteration. You ...
Internship - Machine Learning Engineer
Salt Lake City, UT · On-site
$110 - $150/hr
We are looking for a Machine Learning Engineer to own the end-to-end lifecycle of ML models in production at Smule, from training and optimization through deployment, monitoring, and iteration. You ...
Summer 2027 Intern - Machine Learning Engineering
West Jordan, UT · On-site
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Summer 2027 Intern - Machine Learning Engineering
West Jordan, UT · On-site
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Summer 2027 Intern - Machine Learning Engineering
Salt Lake City, UT · On-site +1
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Summer 2027 Intern - Machine Learning Engineering
Salt Lake City, UT · On-site +1
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Summer 2027 Intern - Machine Learning Engineering
Logan, UT · On-site +1
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Summer 2027 Intern - Machine Learning Engineering
Logan, UT · On-site +1
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Summer 2027 Intern - Machine Learning Engineering
Logan, UT · On-site
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Summer 2027 Intern - Machine Learning Engineering
Logan, UT · On-site
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Summer 2027 Intern - Machine Learning Engineering
Orem, UT · On-site
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Summer 2027 Intern - Machine Learning Engineering
Orem, UT · On-site
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Summer 2027 Intern - Machine Learning Engineering
West Jordan, UT · On-site +1
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Summer 2027 Intern - Machine Learning Engineering
West Jordan, UT · On-site +1
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Freelance Google Machine Learning Engineer information
What does a freelance Google Machine Learning Engineer do?
A Freelance Google Machine Learning Engineer is a technical specialist who designs, develops, and deploys machine learning models using Google’s tools and platforms, such as TensorFlow and Google Cloud AI services. They work independently or with clients to solve data-driven problems, build predictive models, and automate processes using machine learning techniques. Their responsibilities may include data preprocessing, feature engineering, model training and evaluation, and integrating models into production systems. Freelancers often manage multiple projects and must stay updated on the latest ML advancements and Google technologies.
What are the key skills and qualifications needed to thrive as a freelance Google Machine Learning Engineer?
To thrive as a Freelance Google Machine Learning Engineer, you need a solid background in computer science, statistics, and machine learning, typically supported by a relevant degree and experience with real-world data projects. Familiarity with Google Cloud Platform (GCP), TensorFlow, and certifications like Google Professional Machine Learning Engineer are commonly required. Strong problem-solving abilities, self-motivation, and effective client communication distinguish top freelancers in this field. These skills and qualifications are crucial for delivering robust machine learning solutions tailored to client needs and efficiently navigating remote, project-based work.
What are some common challenges freelance Google Machine Learning Engineers face when working with clients remotely?
Freelance Google Machine Learning Engineers often encounter challenges such as clearly defining project scopes, aligning on deliverables, and managing expectations, especially when working remotely. Communication can be more complex due to time zone differences and varying levels of technical understanding among clients. Staying updated with Google’s latest ML tools and ensuring secure, efficient data sharing are also important. Building strong documentation and regular progress updates can help foster trust and smooth collaboration.
What is the difference between Freelance Google Machine Learning Engineer vs Freelance Data Scientist?
| Aspect | Freelance Google Machine Learning Engineer | Freelance Data Scientist |
|---|---|---|
| Credentials | Knowledge of Google Cloud ML tools, programming skills in Python, TensorFlow | Statistical expertise, programming in Python/R, data analysis skills |
| Work Environment | Cloud platforms, AI/ML projects, collaboration with developers | Data analysis, reporting, model development, client communication |
| Industry Usage | Tech companies, AI startups, cloud service providers | Finance, healthcare, marketing, research organizations |
While both roles involve working with data and models, a Freelance Google Machine Learning Engineer specializes in deploying ML solutions on Google Cloud, focusing on AI/ML engineering tasks. A Freelance Data Scientist primarily analyzes data, builds statistical models, and provides insights. The roles overlap in skills but differ in focus and tools used.
What are the most commonly searched types of Google Machine Learning Engineer jobs in Utah?
The most popular types of Google Machine Learning Engineer jobs in Utah are:
What are popular job titles related to Freelance Google Machine Learning Engineer jobs in Utah?
For Freelance Google Machine Learning Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Freelance Google Machine Learning Engineer jobs in Utah look for?
The top searched job categories for Freelance Google Machine Learning Engineer jobs in Utah are:
- Freelance Machine Learning Compiler Engineer
- Home Based Nvidia Machine Learning
- Machine Learning Engineer Quantization
- Ai Machine Learning Drug Discovery
- Patterned Learning Ai
- Flexible Machine Learning
- Machine Learning Engineer Python
- Machine Learning Manager
- Artificial Intelligence Machine Learning Engineer
- Contract Apple Machine Learning Engineer
What cities in Utah are hiring for Freelance Google Machine Learning Engineer jobs?
Cities in Utah with the most Freelance Google Machine Learning Engineer job openings:
Full-time
Re-posted 19 days ago
Job description
-
Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch
-
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration
-
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues
-
Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy
-
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams
-
Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics
-
Implement methods from recent ML papers quickly and turn them into production-grade systems