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Manager Remote Machine Learning Jobs (NOW HIRING)

Machine Learning Engineer

Pittsburgh, PA ยท On-site +1

$110K - $165K/yr

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish ... Strong data pipeline and data management skills * Strong software engineering skills; knowledge of ...

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish ... Strong data pipeline and data management skills * Strong software engineering skills; knowledge of ...

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven ... Experience with managing the full model production lifecycle, including deployment, release, and ...

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven ... Experience with managing the full model production lifecycle, including deployment, release, and ...

Machine Learning Engineer Location: Long Island City, NY 11101 (Onsite 4 Days/week) Type: Permanent ... Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless ...

Senior Machine Learning Engineer

$125.40K - $165.30K/yr

This is a fully remote position, allowing you to work from home or location of record within the U ... Our machine learning engineering team is responsible for developing infrastructure and tooling to ...

Senior Machine Learning Engineer

$125.40K - $165.30K/yr

This is a fully remote position, allowing you to work from home or location of record within the U ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Machine Learning Engineer

New York, NY ยท On-site +1

$148K - $212K/yr

You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders. * You have hands-on experience implementing production machine learning systems at ...

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Manager Remote Machine Learning information

See salary details

$31K

$77.4K

$130K

How much do manager remote machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for manager remote machine learning in the United States is $77,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $87,500.00 per year, depending on experience, location, and employer.

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

AspectManager Remote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote team management, project oversightData analysis, model development, research
Employer & Industry UsageTech companies, AI firms, startupsTech, finance, healthcare, research institutions
Common Search & ComparisonYesYes

The main difference is that a Manager Remote Machine Learning oversees ML projects and teams remotely, focusing on leadership and strategy, while a Data Scientist primarily conducts data analysis and model development. Managers handle project management and team coordination, whereas Data Scientists focus on technical implementation and research.

More about Manager Remote Machine Learning jobs
What cities are hiring for Manager Remote Machine Learning jobs? Cities with the most Manager Remote Machine Learning job openings:
What are the most commonly searched types of Remote Machine Learning jobs? The most popular types of Remote Machine Learning jobs are:
What states have the most Manager Remote Machine Learning jobs? States with the most job openings for Manager Remote Machine Learning jobs include:
Infographic showing various Manager Remote Machine Learning job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 2% As Needed, 40% Full Time, 54% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $77,379 per year, or $37.2 per hour.

Machine Learning Engineer

Aquabyte

Pittsburgh, PA โ€ข On-site, Remote

$110K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of our on-camera and cloud software.
Our mission
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.
We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.
Our product
We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.
The role
As a Machine Learning Engineer you will be responsible for developing Machine Learning models and pipelines as well as interacting with databases and data infrastructure. Conducting in-depth data analytics and building statistical data inference models of biological processes. This role is on the AI team where we develop image and video inference pipelines to estimate the weight, health and behavior of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.
Required Qualifications
  • BS/MS in relevant technical degree
  • 3+ years of experience with data-science
  • Strong coding ability; strong grasp of Python, SQL
  • Strong data analytics & modeling & ML skills
  • Strong data pipeline and data management skills
  • Strong software engineering skills; knowledge of best practices, testing, and deployment

Bonus Qualifications
  • Familiarity with; snowflake, dbt, airflow, pandas
  • Experience with Docker and cloud SW development (i.e. AWS)

Benefits
  • Competitive salary and equity
  • Unlimited vacation policy
  • Flexible working hours
  • Medical, vision, & dental insurance
  • Retirement matching plan
  • Potential travel to Norway
  • Evolve in a fast-paced environment
  • Be able to shape a business in its early days
  • Get ideas, feedback, and suggestions from other best-in-their-field colleagues
  • Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow

$110,000 - $165,000 a year
Aquabyte takes a market-based approach to compensation. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location.
At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don't satisfy all the requirements, and we will get back to you as soon as possible!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.