2

Remote Machine Learning Jobs in Provo, UT (NOW HIRING)

What To Know Work environment Remote team members must have a private and quiet area for working hours in their location. When in the main office, expect a comfortable, air-conditioned work ...

Senior Software Engineer - Next-Gen

Lehi, UT · On-site +1

$115K - $151K/yr

Share knowledge and contribute to a culture of continuous improvement across the engineering team Continuous Learning & Innovation * Evaluate and adopt emerging technologies that improve engineering ...

Showing results 41-43

Remote Machine Learning information

See Provo, UT salary details

$24.1K

$40.3K

$83.2K

How much do remote machine learning jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote machine learning in Provo, UT is $40,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,700.00 and $43,500.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Provo, UT?

The most popular types of Machine Learning jobs in Provo, UT are:

What are popular job titles related to Remote Machine Learning jobs in Provo, UT?

For Remote Machine Learning jobs in Provo, UT, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Provo, UT look for?

The top searched job categories for Remote Machine Learning jobs in Provo, UT are:

What cities near Provo, UT are hiring for Remote Machine Learning jobs?

Cities near Provo, UT with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Provo, UT as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 67% Full Time, 29% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $40,282 per year, or $19.4 per hour.

Sr Software Engineer, Streaming Services

Provo, UT • Remote

Angel
Fitness and Sports Centers • 51 - 200 employees

$135K - $180K/yr

Full-time

Posted 15 days ago


Job description

Description

Angel is changing the future of American entertainment and is one of the fastest-growing Distributors in America. Our rapidly expanding library of light-amplifying stories has grown 10x in under 2 years. Gone is the old model where the deepest pockets pick the stories we share. Angel restores choice to our 2.5+ million guild members and growing who decide what we produce, what we take to theaters, and most importantly what parents bring to their homes. Check out angel.com/watch

Opportunity

Our ai-focused engineering teams are revolutionizing what it means to be a part of inspirational entertainment. From building an army of voters weighing-in on short concept videos, expanding a membership-driven community with viewing perks both online and at the big screen, and innovating filtering tools that empower next-level parental guardrails, we're bringing the world the next wave of entertainment powered directly by the people who want it.

You'll have the opportunity to take ownership in areas that are high impact supporting the delivery of content to our users. We have a lot of features that have quickly taken to the market that we need to add structure and scalability to. We also have a broad vision of new innovative projects to take the Angel experience to new heights. 

This is a high-ownership, high-impact opportunity where you'll add vision, strategy, and execution for how millions of fans discover, watch, and engage with Angel's ever growing library of stories.

Why Join Angel?
  • High-Growth Company: Angel is one of the fastest-growing media companies, with record-breaking independent theatrical releases and millions of streaming users worldwide. See our recent interview with Evan Shapiro
     
  • Massive Impact: Your work will shape how audiences experience the stories they love-and help amplify light around the globe.
     
  • Extreme Ownership: We are a team of owners and entrepreneurs. This is your chance to operate like a startup founder inside a fast-scaling media company.
     
  • Mission-Driven Culture: We strive to amplify light in everything we do. Join a team that deeply cares about the impact of the stories we tell.
     
  • Future of Streaming: Help build a streaming platform that competes with giants-without playing by their rules.
What You'll Do
  • Own the Streaming API: Lead end-to-end design strategy and execution for Angel's content and discovery API's powering our apps-mobile, TV, and web.
     
  • Act Like a Founder: Take extreme ownership of outcomes. Operate as if this were your own startup inside Angel Studios.
     
  • Shift the Industry: Drive experimentation, iteration, and rapid feedback with stakeholders. Get impactful features in the hands of devs and users quickly.
     
  • Radiate Your Domain: Clarify designs and plans for others to maximize collaboration opportunities. Radiate critical info for external teams and other business decisions.
     
  • Prioritize The Best: Focus on the highest-leverage opportunities. Cut what doesn't matter, deliver what does.
     
  • Collaborate Without Barrier: Plan, prioritize and work with other teams to ensure smooth adoption of your team's APIs. Build trust and confidence in your team's systems.
     
  • Execute End-to-End: Leverage ai, testing, data, customer feedback, and intuition to make confidence changes that impact stakeholders across all levels of the tech stack.
     
  • Build Regardless: Thrive in ambiguity. Solve problems creatively with limited resources. Wrestle root issues to the ground.
What Success Looks Like
  • Teams love using the systems you built, and innovate freely on top of them.
     
  • Discovery is effortless and intuitive, making it easy for other teams to use your APIs
     
  • Scalability and resilience of your services is a given, everyone can depend on them.
     
  • Your solutions open doors to new horizons, building a platform that raises all ships.
     
  • Your system's data integrity and useability, as well as data security all have a reputation of being rock solid. 

Requirements

What You'll Need

  • A disposition for disrupting one of America's longest-standing and exclusive industries.
  • 7+ years experience writing high-performance reusable code.
  • Experience in leveraging code agents and ai models to fast-track outcomes.
  • Expert level knowledge within our chosen tech-stack:
    • Node.JS
    • React
    • GraphQL/REST/Protobuf/HTTPs
    • RabbitMQ
    • Github Actions/Docker/Kubernetes
    • S3/Postgres/Redis
    • Otel/Datadog
  • Expertise with DevOps principles (CI/CD, Flow optimization, collaboration, ownership, ect.)
  • Expertise in systems thinking principles (Kanban, pull systems, handoffs, TQM, ect...)
  • Passion for careful design & architectural planning that leads to a codebase that is future-prepped and maintainable.
  • Proactivity working in a dynamic environment with a high variety of users and ever-evolving requirements.

Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

What To Know

Work environment 

Remote team members must have a private and quiet area for working hours in their location. When in the main office, expect a comfortable, air-conditioned work environment. Team members are issued their own desks, but the office is an open, shared space and can be fast-paced and occasionally noisy. 

Physical demands

Will need to be able to sit or stand at a desk for extended periods of time. 

Position type and expected hours of work

Regular full-time, 40 hours per week.

Travel required

2 onsite events in Utah every year. There may be other opportunities to travel, but no other significant out-of-state travel is anticipated

Work authorization

Must be authorized to work in the United States. 

EEO statement

At Angel Studios, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates.

Other duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the team member for this job. Duties, responsibilities and activities may change at any time with or without notice.