2

Manager Remote Machine Learning Engineer Jobs in Utah

Remote Operations Engineer

Sandy, UT ยท On-site +1

$66K - $89K/yr

United States - UT - Sandy Remote Operations Engineer Full-Time, Permanent Sandy, UT (In-person ... Professionally managed and family-owned, we proudly serve a wide range of markets, customers, and ...

Showing results 21-40

Manager Remote Machine Learning Engineer information

What is a manager remote machine learning engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

What is the difference between Manager Remote Machine Learning Engineer vs Data Scientist?

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

What are the key skills and qualifications needed to thrive as a manager remote machine learning engineer, and why are they important?

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

How does a manager remote machine learning engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.
What are the most commonly searched types of Remote Machine Learning Engineer jobs in Utah? The most popular types of Remote Machine Learning Engineer jobs in Utah are:
What cities in Utah are hiring for Manager Remote Machine Learning Engineer jobs? Cities in Utah with the most Manager Remote Machine Learning Engineer job openings:
Infographic showing various Manager Remote Machine Learning Engineer job openings in Utah as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Industrial/Organizational Product Science Intern | Fully Remote US

HireVue Inc

Sandy, UT โ€ข Remote

Part-time, Internship

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Company Description

Hirevue is where hiring happens – transforming the way organizations discover, engage, and hire the best talent. Connecting companies and candidates anytime, anywhere, Hirevue’s end-to-end hiring platform features video interviewing, assessments and conversational AI. The industry leader in science backed, modern hiring solutions powered by ethical AI, Hirevue has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1200 pioneering customers around the globe.

Job Description

As an Industrial/Organizational (I/O) Product Science Intern, you will support the research, design, and testing of new assessments and assessment-related product features.

You will work with Industrial/Organizational Psychologists and other internal teams to apply research within the Hirevue platform. Projects may include large language models, machine learning, simulations, conversational assessments, and other interactive assessment methods.

This is a six-month internship beginning in August or September, with the possibility of extension. This role is a part-time internship, not exceeding 20 hours per week and does not involve direct customer interaction.

Essential Duties and Responsibilities

  • Support the design, development, testing, and quality review of new assessments.

  • Apply Industrial/Organizational Psychology, research, and data analysis skills to product projects.

  • Assist with assessment content, scoring methods, prototypes, and AI-enabled features.

  • Review research on selection and emerging assessment technologies, and help translate findings into product features.

  • Support research on reliability, validity, fairness, subgroup differences, usability, and candidate experience.

  • Serve as an expert evaluator by reviewing and rating the quality, accuracy, and effectiveness of assessment tools and technology-generated outputs.

  • Collaborate with Industrial/Organizational Psychology, Product, and Data Science teams and share findings with technical and non-technical audiences.

Qualifications
  • Currently enrolled in a Ph.D. program in Industrial/Organizational Psychology or a related field preferred.

  • At least two years of graduate-level education in Industrial/Organizational Psychology or a related field preferred.

  • Knowledge of personnel selection, psychometrics, statistics, research methods, or assessment development.

  • Experience analyzing quantitative and qualitative data.

  • Experience with assessment development, validation, or evaluation is preferred.

  • Interest or experience in emerging assessment technologies, such as large language models, machine learning, natural language processing, prompt design, experimental design, or AI evaluation.

  • Knowledge of EEO requirements, fairness, and professional guidelines for employee selection.


Additional Information

All team members at Hirevue are expected to embody our core values, which are the H.E.A.R.T. of Hirevue. They are: Hero for our Customers, Enjoy the Journey, Always do the Right Thing, Reach Forwards, and Take Action and Go. 

Hirevue takes security seriously and has measures in place to protect work-related data in a remote setting. Our organization has implemented a BYOD (Bring Your Own Device) policy, HireVue uses Google User Enrollment, which ensures personal apps and data are kept separate from work apps and data should you choose to use your personal device for work purposes. HireVue can manage only the work-related aspects of the device, ensuring privacy for personal data.

Hirevue is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category protected under the law. HireVue is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. All your information will be kept confidential according to EEO guidelines.

Hirevue is NOT currently hiring in:

AK, HI, IA, ME, MS, NM or WV.

#remote-us