They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new ...
They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new ...
Senior Machine Learning Engineer
Lehi, UT · On-site +1
$144K - $233K/yr
We are seeking a Senior Machine Learning Engineer to help build and scale Entrata's applied AI capabilities. This role will focus on adapting and fine-tuning foundation models for property management ...
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Senior Machine Learning Engineer
Lehi, UT · On-site +1
$144K - $233K/yr
We are seeking a Senior Machine Learning Engineer to help build and scale Entrata's applied AI capabilities. This role will focus on adapting and fine-tuning foundation models for property management ...
Senior Machine Learning Engineer
Lehi, UT · On-site
$144K - $233K/yr
We are seeking a Senior Machine Learning Engineer to help build and scale Entrata's applied AI capabilities. This role will focus on adapting and fine-tuning foundation models for property management ...
Senior Machine Learning Engineer
Lehi, UT · On-site
$144K - $233K/yr
We are seeking a Senior Machine Learning Engineer to help build and scale Entrata's applied AI capabilities. This role will focus on adapting and fine-tuning foundation models for property management ...
Senior Machine Learning Engineer
Lehi, UT · On-site +1
$144K - $233K/yr
We are seeking a Senior Machine Learning Engineer to help build and scale Entrata's applied AI capabilities. This role will focus on adapting and fine-tuning foundation models for property management ...
Senior Machine Learning Engineer
Lehi, UT · On-site +1
$144K - $233K/yr
We are seeking a Senior Machine Learning Engineer to help build and scale Entrata's applied AI capabilities. This role will focus on adapting and fine-tuning foundation models for property management ...
Senior Machine Learning Engineer
Salt Lake City, UT · On-site
$101K - $138K/yr
Senior Machine Learning Engineers leverage their engineering expertise to solve a variety of technical problems for some of the most challenging and impactful projects in healthcare informatics and ...
Senior Machine Learning Engineer
Salt Lake City, UT · On-site
$101K - $138K/yr
Senior Machine Learning Engineers leverage their engineering expertise to solve a variety of technical problems for some of the most challenging and impactful projects in healthcare informatics and ...
Familiar with database structures, statistical modelling, software engineering best practices, and the latest developments in generative AI. Duties & Responsibilities Builds and deploys scalable ...
Familiar with database structures, statistical modelling, software engineering best practices, and the latest developments in generative AI. Duties & Responsibilities Builds and deploys scalable ...
Familiar with database structures, statistical modelling, software engineering best practices, and the latest developments in generative AI. Duties & Responsibilities • Builds and deploys scalable ...
Familiar with database structures, statistical modelling, software engineering best practices, and the latest developments in generative AI. Duties & Responsibilities • Builds and deploys scalable ...
2027 Intern - Machine Learning Engineer
Lehi, UT · On-site +1
The Opportunity Adobe is looking for Machine Learning Engineer interns to work on some of the most impactful AI systems in the industry - from generative AI features and intelligent agents to search ...
2027 Intern - Machine Learning Engineer
Lehi, UT · On-site +1
The Opportunity Adobe is looking for Machine Learning Engineer interns to work on some of the most impactful AI systems in the industry - from generative AI features and intelligent agents to search ...
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 ...
Machine Learning Engineer
West Jordan, 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
West Jordan, 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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Contract Apple Machine Learning Engineer information
What is a contract Apple machine learning engineer?
Contract Apple Machine Learning Engineers are professionals hired on a temporary or project basis to develop and implement machine learning models and algorithms specifically for Apple’s products and platforms. They typically work on tasks such as optimizing machine learning workflows for iOS, macOS, or other Apple technologies, and may collaborate closely with Apple’s in-house teams. Their responsibilities can include data preprocessing, model training, evaluation, and integration into Apple’s ecosystem. These engineers are expected to have expertise in machine learning frameworks, programming languages like Python or Swift, and a strong understanding of Apple’s development tools. Contract roles often provide flexibility but may require quick adaptation to Apple’s proprietary systems and high standards.
What are the key skills and qualifications needed to thrive as a contract Apple machine learning engineer?
To thrive as a Contract Apple Machine Learning Engineer, you need a strong background in computer science, mathematics, and deep learning, typically with a relevant degree and experience in building ML models. Proficiency with Python, TensorFlow or PyTorch, Apple's Core ML framework, and version control systems is commonly required. Strong problem-solving skills, collaboration, and effective communication help you navigate project requirements and work with cross-functional teams. These skills and experiences are crucial for delivering high-quality, scalable machine learning solutions that align with Apple's standards and rapidly evolving technology needs.
What are the common challenges faced by contract Apple machine learning engineers when integrating ML models into Apple’s ecosystem?
Contract Apple Machine Learning Engineers often encounter challenges such as ensuring seamless integration of machine learning models with Apple’s proprietary platforms like iOS, macOS, or Core ML. Adapting to Apple’s strict security, privacy standards, and performance requirements is essential, as is optimizing models for real-time performance on Apple devices. Collaborating effectively with cross-functional teams—such as software developers, designers, and QA engineers—is crucial to deliver scalable and user-friendly ML features within project timelines.
What are the most commonly searched types of Apple Machine Learning Engineer jobs in Utah?
The most popular types of Apple Machine Learning Engineer jobs in Utah are:
What are popular job titles related to Contract Apple Machine Learning Engineer jobs in Utah?
For Contract Apple Machine Learning Engineer jobs in Utah, the most frequently searched job titles are:
- Machine Learning Engineer
- Junior Machine Learning Engineer
- Machine Learning Engineer Intern
- Flexible Remote Machine Learning Engineer
- Deep Learning Engineer
- Senior Machine Learning Engineer
- Contract Machine Learning Engineer
- Embedded Machine Learning Engineer
- Machine Learning Engineer Apprenticeship
- Google Cloud Machine Learning Engineer
What job categories do people searching Contract Apple Machine Learning Engineer jobs in Utah look for?
The top searched job categories for Contract Apple Machine Learning Engineer jobs in Utah are:
- Reinforcement Learning Engineer
- Mlops Machine Learning Engineer
- Freelance Google Machine Learning Engineer
- Director Google Machine Learning Engineer
- Flexible Machine Learning
- Seasonal Medical Imaging Machine Learning
- Senior Tesla Machine Learning Engineer
- Machine Learning Engineer Hybrid
- Home Based Nvidia Machine Learning
- Machine Learning Engineer Quantization
What cities in Utah are hiring for Contract Apple Machine Learning Engineer jobs?
Cities in Utah with the most Contract Apple Machine Learning Engineer job openings:
Machine Learning Engineer
Salt Lake City, UT • On-site
Leash Bio
Full-time
Re-posted 4 days ago
Job description
Job Summary:
Leash Biosciences is at the forefront of integrating machine learning with drug discovery, aiming to revolutionize medicinal chemistry. They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new therapies for devastating diseases.
Responsibilities:
• Manage and optimize data processing workflows for large-scale datasets, with an approach akin to language data handling.
• Scale and maintain machine learning model training processes, with a focus on cloud environments (primarily Google Cloud, with flexibility to other platforms).
• Collaborate closely with ML researchers, data scientists, and lab automation teams to ensure seamless integration of lab data and ML model training.
• Innovate and iterate on our existing technology stack, taking the initiative to solve problems and improve our ML operations.
• Act as a self-sufficient project manager, overseeing your projects from conception to completion.
Qualifications:
Required:
• Strong experience in machine learning engineering, including data handling, model training, and scaling in cloud environments.
• Comfortable building ML infrastructure
• Experience working with large amounts of text data, NLP, or training LLMs
• Demonstrated capability to make informed decisions, take ownership of solutions, and drive projects forward in a startup environment.
• Excellent collaboration skills, with the ability to work effectively with cross-functional teams.
Preferred:
• Familiarity with common MLops tooling (e.g., Dagster, Prefect, Airflow, Docker, MLflow, Kubeflow, W&B, Ray, etc.)
• Ability to manage own compute cluster
• Ability to maximize GPU utilization and keep cluster busy 24/7
• Ability to analyze model results and kick off new experiments in response
• Experience with BERT or similar language models in PyTorch.
• Experience or interest in biology, chemistry, or related fields is a plus.
Company:
Leash Bio uses AI and machine learning to innovate drug design and medicinal chemistry. Founded in 2021, the company is headquartered in Salt Lake City, USA, with a team of 2-10 employees. The company is currently Early Stage.
Leash Biosciences is at the forefront of integrating machine learning with drug discovery, aiming to revolutionize medicinal chemistry. They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize cloud-based computing resources, and train advanced machine-learning models to contribute to new therapies for devastating diseases.
Responsibilities:
• Manage and optimize data processing workflows for large-scale datasets, with an approach akin to language data handling.
• Scale and maintain machine learning model training processes, with a focus on cloud environments (primarily Google Cloud, with flexibility to other platforms).
• Collaborate closely with ML researchers, data scientists, and lab automation teams to ensure seamless integration of lab data and ML model training.
• Innovate and iterate on our existing technology stack, taking the initiative to solve problems and improve our ML operations.
• Act as a self-sufficient project manager, overseeing your projects from conception to completion.
Qualifications:
Required:
• Strong experience in machine learning engineering, including data handling, model training, and scaling in cloud environments.
• Comfortable building ML infrastructure
• Experience working with large amounts of text data, NLP, or training LLMs
• Demonstrated capability to make informed decisions, take ownership of solutions, and drive projects forward in a startup environment.
• Excellent collaboration skills, with the ability to work effectively with cross-functional teams.
Preferred:
• Familiarity with common MLops tooling (e.g., Dagster, Prefect, Airflow, Docker, MLflow, Kubeflow, W&B, Ray, etc.)
• Ability to manage own compute cluster
• Ability to maximize GPU utilization and keep cluster busy 24/7
• Ability to analyze model results and kick off new experiments in response
• Experience with BERT or similar language models in PyTorch.
• Experience or interest in biology, chemistry, or related fields is a plus.
Company:
Leash Bio uses AI and machine learning to innovate drug design and medicinal chemistry. Founded in 2021, the company is headquartered in Salt Lake City, USA, with a team of 2-10 employees. The company is currently Early Stage.