Machine Learning Engineer
Ogden, UT · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Ogden, UT · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Logan, UT · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Logan, UT · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Orem, UT · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Orem, UT · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
West Jordan, UT · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
West Jordan, UT · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Sr. Product Manager, AI
Salt Lake City, UT · On-site
$122K - $161K/yr
Develop deep customer expertise by understanding how people think, collaborate, and solve problems ... learning, AI iteration, and derisking non-deterministic features * Experience with visual ...
Sr. Product Manager, AI
Salt Lake City, UT · On-site
$122K - $161K/yr
Develop deep customer expertise by understanding how people think, collaborate, and solve problems ... learning, AI iteration, and derisking non-deterministic features * Experience with visual ...
Applied AI Scientist
Lehi, UT · On-site
We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE ...
Applied AI Scientist
Lehi, UT · On-site
We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE ...
Sr. Product Manager, AI
Salt Lake City, UT · On-site
$120 - $180/hr
Develop deep customer expertise by understanding how people think, collaborate, and solve problems ... learning, AI iteration, and derisking non-deterministic features * Experience with visual ...
New
Sr. Product Manager, AI
Salt Lake City, UT · On-site
$120 - $180/hr
Develop deep customer expertise by understanding how people think, collaborate, and solve problems ... learning, AI iteration, and derisking non-deterministic features * Experience with visual ...
New
Sr. Product Manager, AI
Salt Lake City, UT · On-site
$140 - $190/hr
Develop deep customer expertise by understanding how people think, collaborate, and solve problems ... learning, AI iteration, and derisking non-deterministic features * Experience with visual ...
New
Sr. Product Manager, AI
Salt Lake City, UT · On-site
$140 - $190/hr
Develop deep customer expertise by understanding how people think, collaborate, and solve problems ... learning, AI iteration, and derisking non-deterministic features * Experience with visual ...
New
Sr. Product Manager, AI
Salt Lake City, UT · On-site +1
$122K - $161K/yr
Develop deep customer expertise by understanding how people think, collaborate, and solve problems ... learning, AI iteration, and derisking non-deterministic features * Experience with visual ...
Sr. Product Manager, AI
Salt Lake City, UT · On-site +1
$122K - $161K/yr
Develop deep customer expertise by understanding how people think, collaborate, and solve problems ... learning, AI iteration, and derisking non-deterministic features * Experience with visual ...
Awareness of state of the art methods in machine learning, deep learning, NLP, and/or generative AI * Exposure to large language models (LLMs) and generative AI (e.g., prompt engineering, fine-tuning ...
Awareness of state of the art methods in machine learning, deep learning, NLP, and/or generative AI * Exposure to large language models (LLMs) and generative AI (e.g., prompt engineering, fine-tuning ...
AI Engineer
Salt Lake City, UT · On-site
$55K - $187K/yr
... Applying deep learning and neural network methodologies to optimize AI model performance - Managing data pipelines to validate efficient data flow and processing - Building and maintaining ...
AI Engineer
Salt Lake City, UT · On-site
$55K - $187K/yr
... Applying deep learning and neural network methodologies to optimize AI model performance - Managing data pipelines to validate efficient data flow and processing - Building and maintaining ...
AI & GenAI Data Scientist-Senior Associate
Salt Lake City, UT · On-site
$77K - $202K/yr
... deep learning projects Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the ...
New
AI & GenAI Data Scientist-Senior Associate
Salt Lake City, UT · On-site
$77K - $202K/yr
... deep learning projects Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the ...
New
Research Intern on Generative and Protective AI for Content Creation
Salt Lake City, UT · On-site
$50/hr
Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...
Research Intern on Generative and Protective AI for Content Creation
Salt Lake City, UT · On-site
$50/hr
Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...
Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...
Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...
Deep Learning Ai information
What is the difference between Deep Learning Ai vs Machine Learning Engineer?
| Aspect | Deep Learning Ai | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related fields; knowledge of neural networks | Degree in Computer Science, Data Science, or related fields; programming skills in Python, R |
| Work Environment | Research labs, AI development teams, tech companies focusing on AI models | Software development teams, data analysis projects across various industries |
| Industry Usage | Primarily in AI research, autonomous systems, NLP, computer vision | Across industries for predictive modeling, data analysis, automation |
Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.
What are some common challenges faced by professionals working in deep learning AI, and how can they be addressed?
Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.
What are the key skills and qualifications needed to thrive as a deep learning AI engineer?
To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.
What is a deep learning AI professional?
Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.
What are popular job titles related to Deep Learning Ai jobs in Utah? For Deep Learning Ai jobs in Utah, the most frequently searched job titles are:
- Flexible Remote Machine Learning Engineer
- Deep Learning Engineer
- Manager Remote Machine Learning Engineer
- Edge Ai Machine Learning
- Contract Machine Learning Software Engineer
- Google Cloud Machine Learning Engineer
- Artificial Intelligence Programmer
- Machine Learning Engineer Apprenticeship
- Machine Learning Engineer From Home
What job categories do people searching Deep Learning Ai jobs in Utah look for? The top searched job categories for Deep Learning Ai jobs in Utah are:
- Embedded Machine Learning Internship
- Contractual Computer Vision Deep Learning Engineer
- Urgently Hiring Machine Learning Startup
- Gpu Engineer Salary
- Intern Computer Vision Deep Learning Engineer
- Machine Learning Biomedical Engineer
- Internship Monitoring Evaluation Learning
- Contract Computer Vision Deep Learning Engineer
- Contract Google Machine Learning Engineer
- Internship Google Blockchain
What cities in Utah are hiring for Deep Learning Ai jobs? Cities in Utah with the most Deep Learning Ai job openings:
Full-time
Re-posted 22 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