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 ...
* 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 ...
* 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 ...
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 ...
As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting-edge machine learning and generative AI to redefine how the commercial real estate industry operates.
As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting-edge machine learning and generative AI to redefine how the commercial real estate industry operates.
Senior Engineer - Machine Learning
Midvale, UT · On-site
$98K - $135K/yr
As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting-edge machine learning and generative AI to redefine how the commercial real estate industry operates.
Senior Engineer - Machine Learning
Midvale, UT · On-site
$98K - $135K/yr
As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting-edge machine learning and generative AI to redefine how the commercial real estate industry operates.
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 ...
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 ...
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 ...
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
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 ...
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 ...
$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
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 ...
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
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
Ogden, 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
Ogden, 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 ...
Senior Tesla Machine Learning Engineer information
What does a senior Tesla machine learning engineer do?
A Senior Tesla Machine Learning Engineer leads the development and deployment of advanced machine learning models to improve Tesla’s products, such as Autopilot, Full Self-Driving, and manufacturing optimization. They collaborate with multidisciplinary teams to collect data, design algorithms, and ensure models are robust and scalable. In this role, engineers are expected to mentor junior staff, drive research initiatives, and help translate cutting-edge AI advancements into real-world Tesla applications.
What are the key skills and qualifications needed to thrive as a senior Tesla machine learning engineer?
To thrive as a Senior Tesla Machine Learning Engineer, you need deep expertise in machine learning algorithms, strong programming skills in Python or C++, and a proven track record in deploying models at scale, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience working with large datasets, and cloud computing platforms are typically required, as well as knowledge of Tesla's proprietary systems. Exceptional problem-solving, collaboration, and communication skills distinguish top performers in this role. These abilities are crucial for developing advanced AI solutions that power Tesla's autonomous systems and for driving innovation in a highly competitive, fast-evolving environment.
How does a senior Tesla machine learning engineer typically collaborate with cross-functional teams?
As a Senior Machine Learning Engineer at Tesla, you will frequently work alongside software developers, data scientists, product managers, and hardware engineers. Collaboration is highly cross-functional, with regular meetings to align on project goals, data requirements, and model deployment strategies. You may be involved in translating business objectives into machine learning solutions, sharing insights with non-technical stakeholders, and refining algorithms based on feedback from various departments. This collaborative environment fosters innovation and ensures that machine learning models are well-integrated into Tesla's products and systems.
What is the difference between Senior Tesla Machine Learning Engineer vs Data Scientist?
| Aspect | Senior Tesla Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, EE, or related; experience in ML frameworks | Bachelor's/Master's in CS, Statistics, or related; strong analytical skills |
| Work Environment | Develops ML models for autonomous vehicles, energy, and manufacturing | Analyzes data to extract insights, supports product and business decisions |
| Employer & Industry Usage | Tesla, automotive, energy, AI projects | Various industries including tech, finance, healthcare |
While both roles involve working with data and algorithms, the Senior Tesla Machine Learning Engineer focuses on developing and deploying machine learning models for Tesla's products, especially autonomous systems. In contrast, a Data Scientist primarily analyzes data to inform business decisions across various industries. The ML Engineer role requires deeper expertise in machine learning frameworks and deployment, whereas Data Scientists focus more on statistical analysis and data visualization.
What are popular job titles related to Senior Tesla Machine Learning Engineer jobs in Utah?
For Senior Tesla Machine Learning Engineer jobs in Utah, the most frequently searched job titles are:
- Contract Machine Learning Software Engineer
- Machine Learning Engineer Apprenticeship
- Machine Learning Engineer Intern
- Google Cloud Machine Learning Engineer
- Remote Machine Learning Engineer
- Senior Machine Learning Engineer
- Junior Machine Learning Engineer
- Embedded Machine Learning Engineer
- Scientific Machine Learning
- Deep Learning Engineer
What job categories do people searching Senior Tesla Machine Learning Engineer jobs in Utah look for?
The top searched job categories for Senior Tesla Machine Learning Engineer jobs in Utah are:
- Artificial Intelligence Machine Learning Engineer
- Director Google Machine Learning Engineer
- Mlops Machine Learning Engineer
- Reinforcement Learning Engineer
- Flexible Machine Learning
- Machine Learning Engineer Opt
- Machine Learning Engineer Hybrid
- Junior Machine Learning
- Remote Google Machine Learning Engineer
- Machine Learning Manager
What cities in Utah are hiring for Senior Tesla Machine Learning Engineer jobs?
Cities in Utah with the most Senior Tesla Machine Learning Engineer job openings:
Machine Learning Engineer
Logan, UT • On-site
Bespoke Labs
Full-time
Re-posted 29 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