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 ...
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 ...
Data Scientist 2
Ogden, UT · On-site
Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...
Data Scientist 2
Ogden, UT · On-site
Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...
Machine Learning Tutor
Logan, UT · Remote
$18 - $40/hr
Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Logan, UT · Remote
$18 - $40/hr
Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Provo, UT · Remote
$18 - $40/hr
Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Provo, UT · Remote
$18 - $40/hr
Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Spanish Fork, UT · Remote
$18 - $40/hr
Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Spanish Fork, UT · Remote
$18 - $40/hr
Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Cedar City, UT · Remote
$18 - $40/hr
Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Cedar City, UT · Remote
$18 - $40/hr
Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Senior Machine Learning Engineer
Sandy, UT · Hybrid
$99K - $136K/yr
As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... MS in computer science, electrical engineering, computational linguistics, or a related field with ...
Senior Machine Learning Engineer
Sandy, UT · Hybrid
$99K - $136K/yr
As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... MS in computer science, electrical engineering, computational linguistics, or a related field with ...
Senior Engineer - Machine Learning
Midvale, UT · Hybrid
$98K - $135K/yr
You will work closely with product, engineering, architecture, and data teams to design, implement, and scale AI systems - ranging from predictive modeling and traditional machine learning pipelines ...
Senior Engineer - Machine Learning
Midvale, UT · Hybrid
$98K - $135K/yr
You will work closely with product, engineering, architecture, and data teams to design, implement, and scale AI systems - ranging from predictive modeling and traditional machine learning pipelines ...
Senior Engineer - Machine Learning
Midvale, UT · On-site
$98K - $135K/yr
You will work closely with product, engineering, architecture, and data teams to design, implement, and scale AI systems - ranging from predictive modeling and traditional machine learning pipelines ...
Senior Engineer - Machine Learning
Midvale, UT · On-site
$98K - $135K/yr
You will work closely with product, engineering, architecture, and data teams to design, implement, and scale AI systems - ranging from predictive modeling and traditional machine learning pipelines ...
Senior Engineer - Machine Learning
Midvale, UT · On-site
$140 - $210/hr
You will work closely with product, engineering, architecture, and data teams to design, implement, and scale AI systems - ranging from predictive modeling and traditional machine learning pipelines ...
Senior Engineer - Machine Learning
Midvale, UT · On-site
$140 - $210/hr
You will work closely with product, engineering, architecture, and data teams to design, implement, and scale AI systems - ranging from predictive modeling and traditional machine learning pipelines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
... data. • Analyze and report highly technical intelligence for fleet commanders and national ... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ...
Machine Learning Data Linguist information
What is a machine learning data linguist?
A Machine Learning Data Linguist is a specialist who works at the intersection of linguistics and artificial intelligence. They are responsible for annotating, curating, and analyzing language data to train and improve machine learning models, especially those focused on natural language processing (NLP). Their work often includes tasks like labeling text, refining speech recognition data, and ensuring that language models understand context, grammar, and cultural nuances. This role is essential in developing accurate and inclusive AI systems that interact with human language.
How does a machine learning data linguist typically collaborate with engineers and data scientists on projects?
A Machine Learning Data Linguist works closely with engineers and data scientists by providing linguistic insights and ensuring that language data is accurately annotated and interpreted. They often participate in cross-functional meetings to define project goals, clarify annotation guidelines, and review model outputs for linguistic quality. This collaboration helps bridge the gap between technical development and language-specific nuances, leading to more effective and culturally accurate machine learning models. Effective communication and a strong understanding of both linguistic theory and technical requirements are vital in this collaborative environment.
What are the key skills and qualifications needed to thrive as a machine learning data linguist, and why are they important?
To thrive as a Machine Learning Data Linguist, you need expertise in linguistics, data annotation, and a strong understanding of language structures, often supported by a degree in linguistics or computational linguistics. Familiarity with annotation tools, data labeling platforms, and programming languages like Python is typically required. Strong attention to detail, analytical thinking, and clear communication are essential soft skills for accurately interpreting and conveying linguistic phenomena. These skills ensure high-quality language data, which is critical for developing effective and unbiased machine learning models.
What are popular job titles related to Machine Learning Data Linguist jobs in Utah?
For Machine Learning Data Linguist jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Machine Learning Data Linguist jobs in Utah look for?
The top searched job categories for Machine Learning Data Linguist jobs in Utah are:
What cities in Utah are hiring for Machine Learning Data Linguist jobs?
Cities in Utah with the most Machine Learning Data Linguist job openings:
Machine Learning Engineer
Salt Lake City, UT • On-site
Leash Bio
Full-time
Re-posted 22 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.