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Remote Machine Learning Jobs (NOW HIRING)

BetterHelp

Machine Learning Engineer

As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...

Paylocity

Staff Machine Learning Engineer

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 ...

Rock Connections

Machine Learning Engineer

Detroit, MI · On-site +1

$107K - $241K/yr

As a Machine Learning Engineer, you will design and develop the platforms and frameworks that facilitate automated data-driven decision-making, gather data, and determine statistical algorithms and ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

InstantServe LLC

Machine Learning Engineer

Machine Learning Engineer Location: Long Island City, NY 11101 (Onsite 4 Days/week) Type: Permanent Full Time About the Role : In this role, you will take the lead in developing and fine-tuning ...

SmarterDx

Senior Software Engineer, Machine Learning

$190/hr

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven features across multiple products * Design reusable architecture that powers and accelerates machine ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning ...

SmarterDx

Staff Software Engineer, Machine Learning

$260K/yr

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven features across multiple products * Design reusable architecture that powers and accelerates machine ...

Autodesk

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Design and implement machine learning capabilities that improve Autodesk's customer-facing ...

Autodesk

Senior Machine Learning Engineer

California, MD · On-site +1

$100K - $137K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Design and implement machine learning capabilities that improve Autodesk's customer-facing ...

Autodesk

$86K - $119K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Design and implement machine learning capabilities that improve Autodesk's customer-facing ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site +1

$187K - $220K/yr

Develop machine learning models to analyze the distribution of computer vision data. Develop data annotation tools with integrated machine learning models for efficient data annotation. 40 hours/week.

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Remote Machine Learning information

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$25.5K

$42.6K

$88K

How much do remote machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

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.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What cities are hiring for Remote Machine Learning jobs? Cities with the most Remote Machine Learning job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
What states have the most Remote Machine Learning jobs? States with the most job openings for Remote Machine Learning jobs include:
What job categories do people searching Remote Machine Learning jobs look for? The top searched job categories for Remote Machine Learning jobs are:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

BetterHelp

Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago

BetterHelp rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

Who are we and why should you join us?
BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world's largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we're not stopping there - as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.
As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team's well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you'll carve your own path, make an immediate impact, and be challenged every day - with a supportive community behind you the whole way.
What are we looking for?
BetterHelp is looking for a Machine Learning Engineer to help build and scale the next generation of AI-powered experiences across our platform. This role will focus on Natural Language Processing (NLP), Large Language Models (LLMs), evaluation systems, and AI safety infrastructure.
We're looking for someone with a strong foundation in machine learning and NLP who is excited about building reliable, scalable AI systems in production. The ideal candidate has experience working with language models, evaluating model quality, implementing guardrails, and optimizing inference systems for real-world applications.
What will you do?
  • Develop and improve NLP systems and language model-powered experiences.
  • Fine-tune and optimize open-source and proprietary language models for domain-specific use cases.
  • Evaluate model performance and identify opportunities for quality improvements.
  • Design and implement evaluation frameworks to measure model quality, reliability, and business impact.
  • Build automated testing pipelines to identify regressions, quality drops, hallucinations, and failure modes.
  • Develop metrics and monitoring systems to continuously assess model performance in production.
  • Design and implement guardrails that improve model reliability, safety, and consistency.
  • Build systems to detect unsafe outputs, prompt injection attempts, abuse patterns, and fraud-related behaviors.
  • Partner with product and engineering teams to ensure AI systems behave predictably and responsibly.
  • Optimize inference performance through quantization, distillation, batching, and model serving improvements.
  • Deploy and maintain production-grade ML systems running on GPU infrastructure.
  • Improve latency, scalability, and operational efficiency of LLM-powered applications.
  • Partner closely with Product, Engineering, and Data Science teams to identify opportunities where AI can improve user experiences.
  • Translate business requirements into scalable ML solutions.
  • Communicate technical concepts clearly to both technical and non-technical stakeholders.
What will you NOT do?
  • You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
  • You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
  • You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
  • You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.
Can I work remotely?
Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.
Requirements
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Statistics, Mathematics, Computational Linguistics, or a related quantitative field. Master's or PhD preferred.
  • 3+ years of industry experience building machine learning systems
  • Strong Python programming skills
  • Experience working with NLP and Large Language Models
  • Experience with PyTorch (preferred) or TensorFlow
  • Strong understanding of deep learning fundamentals, transformers, embeddings, and modern NLP architectures
  • Experience evaluating machine learning models and designing quality measurement frameworks
  • Experience fine-tuning language models for production use cases
  • Familiarity with model serving, inference optimization, and deployment workflows
  • Experience working with SQL and large-scale datasets
  • Excellent communication and collaboration skills
Benefits
  • Remote work with regular in-person bonding experiences sponsored by the company
  • Competitive compensation
  • Holistic perks program (including free therapy, employee wellness, and more)
  • Excellent health, dental, and vision coverage
  • 401k benefits with employer matching contribution
  • The chance to build something that changes lives - and that people love
  • Any piece of hardware or software that will make you happy and productive
  • An awesome community of co-workers

The base salary range for this position is $150,000 - $180,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2026. Total compensation is based on several factors - including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.
At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.
Notice to Candidates:
BetterHelp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page (betterhelp.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official BetterHelp recruitment emails will come from the domain @betterhelp.com. Our commitment is to ensure a safe and transparent hiring experience for all candidates. We will never ask you for money, gift cards, or any form of payment during our hiring process, and we will never send money or checks to candidates. If you experience this, it is a scam.

What BetterHelp employees say

Pay

Benefits

Hours and flexibility

Workplace

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About BetterHelp

Sourced by ZipRecruiter

* We help people change their lives. BetterHelp is the world's largest therapy service. We set out on a mission to provide everyone with easy, affordable, and private access to professional counseling: anytime, anywhere. To date, our network of over 20,000 licensed, accredited, and board-certified therapists have assisted more than 1,000,000 people. Every month, our secure website and mobile app facilitate over 5,000,000 messages, chats, voice calls, and video sessions that help people face life's challenges. * We're taking mental healthcare to the next level. We combine clinical care, cutting-edge technology and data-driven product development to constantly learn, iterate, and improve. We are relentless in our pursuit of better, always questioning the status quo and discovering new ways to get things done and serve our members. * We are a community that grows together - both professionally and personally. Even with our exponential growth, our team is kept agile and nimble, allowing you to have a huge impact and carve your own path from day one. We invest in our team's well-being and professional development because we know that business and individual growth go hand-in-hand. You will move fast, remain flexible, and be challenged every day. Join us!

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

2013

Social media

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