They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize ... scientists, and lab automation teams to ensure seamless integration of lab data and ML model ...
They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize ... scientists, and lab automation teams to ensure seamless integration of lab data and ML model ...
Machine Learning Tutor
Spanish Fork, UT · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Spanish Fork, UT · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Cedar City, UT · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Cedar City, UT · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Logan, UT · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Logan, UT · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Provo, UT · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Provo, UT · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Senior Engineer - Machine Learning
Midvale, UT · Hybrid
$98K - $135K/yr
As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Bachelor's degree in Computer Science or another STEM field with heavy analytics focus preferred We ...
New
Senior Engineer - Machine Learning
Midvale, UT · Hybrid
$98K - $135K/yr
As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Bachelor's degree in Computer Science or another STEM field with heavy analytics focus preferred We ...
New
To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support: A. Degree: Mathematics, statistics, computer science, data science ...
To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support: A. Degree: Mathematics, statistics, computer science, data science ...
To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support: A. Degree: Mathematics, statistics, computer science, data science ...
To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support: A. Degree: Mathematics, statistics, computer science, data science ...
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 ... Bachelor's degree in Computer Science or another STEM field with heavy analytics focus preferred We ...
New
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 ... Bachelor's degree in Computer Science or another STEM field with heavy analytics focus preferred We ...
New
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Content AI team at Instacart works alongside world-class engineers, data scientists, and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Content AI team at Instacart works alongside world-class engineers, data scientists, and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Content AI team at Instacart works alongside world-class engineers, data scientists, and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Content AI team at Instacart works alongside world-class engineers, data scientists, and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Content AI team at Instacart works alongside world-class engineers, data scientists, and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Content AI team at Instacart works alongside world-class engineers, data scientists, and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Content AI team at Instacart works alongside world-class engineers, data scientists, and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Content AI team at Instacart works alongside world-class engineers, data scientists, and ...
SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning ...
SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning ...
Machine Learning Scientist information
What is a machine learning scientist?
A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.
What does a machine learning scientist do?
A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.
What skills and qualifications are needed to be a machine learning scientist?
To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.
What are the most commonly searched types of Machine Learning Scientist jobs in Utah? The most popular types of Machine Learning Scientist jobs in Utah are:
What are popular job titles related to Machine Learning Scientist jobs in Utah? For Machine Learning Scientist jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Machine Learning Scientist jobs in Utah look for? The top searched job categories for Machine Learning Scientist jobs in Utah are:
- Seasonal Medical Imaging Machine Learning
- Remote Nvidia Research
- Image Labeling Remote
- Machine Learning Biomedical Engineer
- Phd Scientist
- Junior Machine Learning
- After School Behavioral Data Science
- Home Based Nvidia Machine Learning
- Machine Learning Research Intern
- Artificial Intelligence Machine Learning Engineer
Full-time
Re-posted 6 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.