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Remote Director Machine Learning Jobs (NOW HIRING)

Multi Media LLC

Machine Learning Engineer

$180K - $200K/yr

The Role We are looking for a Machine Learning Engineer to join our Artificial Intelligence and ... Fully Remote Optional * Health, Vision, Dental, and Life Insurance for you and any dependents, with ...

Pluralsight LLC

Machine Learning Engineer

$121K - $160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX ...

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

S. government security clearance in the future.' This is NOT a fully remote position! Required * BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI ...

New

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage Time ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Apex Informatics

Machine Learning Engineer

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

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All JobsMachine Learning JobsRemote Director Machine Learning Jobs

Remote Director Machine Learning information

See salary details

$36K

$91.9K

$141K

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

As of Jul 10, 2026, the average yearly pay for remote director machine learning in the United States is $91,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $106,000.00 per year, depending on experience, location, and employer.

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

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What does a Remote Director of Machine Learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

What are the key skills and qualifications needed to thrive as a Remote Director of Machine Learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

How does a Remote Director of Machine Learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.
More about Remote Director Machine Learning jobs
What cities are hiring for Remote Director Machine Learning jobs? Cities with the most Remote Director 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 Remote Director Machine Learning jobs? States with the most job openings for Remote Director Machine Learning jobs include:
What job categories do people searching Remote Director Machine Learning jobs look for? The top searched job categories for Remote Director Machine Learning jobs are:
Remote Director Machine Learning jobs near you
Infographic showing various Remote Director Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $91,932 per year, or $44.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

Multi Media LLC

Remote

$180K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

About Multi Media, LLC
Multi Media LLC is the company behind Chaturbate, one of the most heavily trafficked live streaming platforms in the world. We support a global network of independent content creators and millions of real-time viewers, delivering interactive video at scale. Our infrastructure handles complex broadcasting, low-latency streaming, and high-engagement user experiences. All live, all the time.
We're building a platform where creators can express themselves freely and grow their communities, where viewers discover and interact with creators they're drawn to, and where the team behind it is challenged, trusted, and responsible for shaping the experience of millions of users around the world. We value people who take initiative, stay curious, and care deeply about the quality and impact of what they build.
The Role
We are looking for a Machine Learning Engineer to join our Artificial Intelligence and Machine Learning team. In this role, you will help build, maintain, and improve production grade machine learning systems that support search, recommendations, personalization, computer vision, predictive modeling, and AI-driven experimentation across a global-scale consumer platform.
This is a hands-on engineering role for someone who has experience building ML models and systems at scale, understands how to evaluate model performance in production contexts, and is excited to apply machine learning to practical product and business problems.
You'll partner closely with Data Scientists, Product, Engineering, and other cross-functional partners to translate product and business needs into scalable ML solutions that improve discovery, engagement, retention, and user experience.
You Will:
  • Build, maintain, and improve production machine learning systems that support search, recommendations, personalization, computer vision, and predictive modeling.
  • Contribute to search and discovery improvements, including ranking, filtering, relevance, exact match, boolean logic, and LLM-powered enhancements.
  • Develop and integrate machine learning models that improve recommendation quality, search accuracy, behavioral analytics, and personalized user experiences.
  • Write clean, reliable, and maintainable code for ML pipelines, model development, experimentation, and production workflows.
  • Work with large-scale datasets to train, evaluate, monitor, and improve ML systems.
  • Collaborate with Data Science, Product, Engineering, and other cross-functional partners to understand requirements, evaluate tradeoffs, and deliver ML solutions that create measurable product and business impact.
  • Participate in technical design discussions for ML systems, including model architecture, data pipelines, evaluation methods, deployment approaches, monitoring, and scalability.

Requirements
You have:
  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a similar technical field, or equivalent practical experience.
  • 3+ years of experience building, deploying, or maintaining machine learning systems in production environments.
  • Experience building ML models or systems at scale in areas such as search, recommender systems, personalization, computer vision, predictive modeling, or user-facing ranking systems.
  • Experience working on consumer-facing products where machine learning directly impacts user discovery, engagement, retention, or personalization.
  • Experience working with global-scale systems, high-traffic environments, or large-scale user behavior data.
  • Excellent Python programming skills.
  • Ability to use SQL to query and analyze product, behavioral, or experiment data
  • Experience with common machine learning libraries, frameworks, and tooling, such as scikit-learn, PyTorch, TensorFlow, XGBoost, pandas, NumPy, or similar tools.
  • Ability to reason through ML system design, including data quality, model evaluation, performance tradeoffs, scalability, reliability, and monitoring.
  • Strong communication skills and experience partnering with Product, Engineering, Data Science, and other cross-functional partners to deliver practical ML solutions for complex product systems.

Bonus points:
  • Experience with search systems, ranking systems, recommendation engines, embeddings, or information retrieval.

Benefits
  • Fair and competitive base salary
  • Fully Remote Optional
  • Health, Vision, Dental, and Life Insurance for you and any dependents, with policy premiums covered by the Company
  • Long & Short term disability insurance
  • Unlimited PTO
  • Annual Year-End Company Closure
  • Optional 401k with 5% matching
  • 12 Paid Holidays
  • Paid Lunches in-office, or if Remote, a $125/week stipend via Sharebite
  • Employee Assistance and Employee Recognition Programs
  • And much more!

The Base Salary range for this position is $180,000 - $200,000 USD. This range reflects base salary only and does not include additional compensation or benefits. The range displayed reflects the minimum and maximum range for a new hire across the US for the posted position. A candidate's specific pay will be determined on a case-by-case basis and may vary based on the candidate's job-related skills, relevant education, training, experience, certifications, and abilities of the candidate, as well as other factors unique to each candidate.
Please note: All offers from Multi Media, LLC are made only after a structured, multi-step recruiting process that includes live interviews, followed by a verbal offer before any written agreement is extended. Official communications, including from interviewers, will only come from email addresses ending in @multimediallc.com.
Multi Media, LLC is an equal opportunity employer and strives for diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage people from underrepresented groups to apply!

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