ZipRecruiter

Log In

2

Remote Machine Learning Engineer Jobs (NOW HIRING)

Autodesk

$86K - $119K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing ... This role is currently open to remote work. Candidates must be located near one of our hub ...

Harnham

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$220K - $260K/yr

Base pay range $220,000.00/yr - $260,000.00/yr Placing the Top AI and Machine Learning Talent (NYC) Lead Machine Learning Engineer $220,000 - $260,000 + Bonus Remote (NYC preferred, hybrid available ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

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 ...

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

New

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Keebo

Senior Machine Learning Engineer

$125K - $165K/yr

About the Opportunity As a Senior Machine Learning Engineer, you will bring your expertise in ... Experience with Google Cloud and BigQuery Our Environment Keebo is a fully remote, global team with ...

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 ...

Apex Informatics

Senior Machine Learning Engineer

$107K - $146K/yr

Remote Interview Mode: Virtual interview Type: Long term contract Rate: Open (Can submit at any ... We seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

We're looking for a Senior Machine Learning Engineer to help us build a revolutionary new health ... Additionally, we embrace a remote-first culture that supports collaboration and flexibility ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer Jobs

Remote Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Jul 10, 2026, the average yearly pay for remote machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
More about Remote Machine Learning Engineer jobs
What cities are hiring for Remote Machine Learning Engineer jobs? Cities with the most Remote Machine Learning Engineer job openings:
What are the most commonly searched types of Machine Learning Engineer jobs? The most popular types of Machine Learning Engineer jobs are:
What states have the most Remote Machine Learning Engineer jobs? States with the most job openings for Remote Machine Learning Engineer jobs include:
What job categories do people searching Remote Machine Learning Engineer jobs look for? The top searched job categories for Remote Machine Learning Engineer jobs are:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Senior Machine Learning Engineer

SW5 Consulting

New York, NY • Remote

$180K - $250K/yr

Full-time

Re-posted 27 days ago

Job description

Senior Machine Learning Engineer


Location: Remote (U.S.) or New York City


Compensation: $180K – $250K + Equity


Employment Type: Full-time


About Us

We’re building cutting-edge AI solutions that help some of the world’s most recognizable brands connect with their customers in smarter, more meaningful ways. Our technology predicts who to reach, when to reach them, and through which channel—maximizing engagement and driving profitable growth.


The Role


As a Senior Machine Learning Engineer, you’ll be at the heart of our product innovation. You will:

  • Design, train, and deploy ML models that power marketing personalization at scale.
  • Build robust MLOps pipelines for training, serving, and monitoring models in production.
  • Experiment and optimize using A/B testing, uplift modeling, and causal inference.
  • Collaborate with leadership and cross-functional teams, mentoring others and shaping best practices.


What We’re Looking For

  • 5+ years in software engineering, with 3+ years in ML systems.
  • Experience with GCP, specifically in Vertex AI and / or Kubeflow
  • Expertise in modern ML algorithms (tree-based methods, deep learning, transformers).
  • Hands-on experience with PyTorch, TensorFlow, XGBoost.
  • Strong Python skills and familiarity with Spark, Ray, BigQuery, Airflow.
  • Experience with MLOps, CI/CD, containerization (Docker/Kubernetes), and cloud platforms (GCP preferred).
  • Comfort with advanced experimentation techniques and performance measurement.


Bonus Points

  • Background in marketing tech or ad tech.
  • Experience with LLMs, reinforcement learning, or bandit algorithms.
  • Familiarity with causal inference and uplift modeling.
  • Startup experience and ability to thrive in a fast-paced environment.


Why Join Us?

  • Impact: Your work will directly shape how leading brands engage millions of customers.
  • Growth: Collaborate with industry veterans and learn from the best.
  • Innovation: Experiment with cutting-edge ML models and infrastructure.
  • Culture: We value ownership, iteration, and continuous learning—your voice matters.


This role is a fully remote role but you MUST be based in US and eligible to work without sponsor. Bonus points if you can occasionally get to New York. The position will pay $200-250k + equity