Apply for remote Machine Learning jobs from companies hiring across the globe. This page features work-from-anywhere opportunities for professionals specializing in artificial intelligence, predictive modeling, and advanced algorithm development.
Lead Machine Learning Engineer - Remote (US) or CA - Only W2
Role Lead Machine Learning Engineer Location Mountain View, CA (3 days a week onsite) (OR) Remote Job Type W2 Contract Duration 12 months Experience Senior/Lead Level Short Overview of JD Looking for a ML Engineer who will be working on the products related to seismic and well log data, identifying simple geologic characteristics of the data (faults, horizons), and working knowledge of the different subsurface data formats and types. Primary Skills MLOps, Deep learning, GPU training and inference, Image models, GCP, TensorFlow, PyTorch, Agentic coding tools We are looking for a candidate who • Senior-level experience leading small engineering teams, setting technical goals in a business context, and remaining hands-on. • Familiarity with agentic coding tools (e.g., Claude). • Is well-versed in deep learning, GPU training and inference, and image models. • Has extensive experience in model training and setting up distributed model training pipelines, especially using platforms like Vertex AI and Kubeflow for large-scale image and language model training. • Possesses a strong background in building and deploying machine learning models, with a focus on image processing and time series signal processing. • Has hands-on experience in training and fine-tuning ML models. • Is skilled in building and maintaining data pipelines for image and sensor data. • Is familiar with ML Ops tools and practices, including model monitoring, versioning, and deployment. • Has experience working with data labeling tools. • Is comfortable with cloud platforms, particularly Google Cloud Platform (GCP); experience with edge deployments is a plus. Additional (Nice to Have) Skills • Experience with GCP is highly desirable; if not, the ability and willingness to learn quickly is expected. • Proficiency in TensorFlow and PyTorch. • Familiarity with Protocol Buffers and containerization technologies. • Experience with rapid prototyping to validate hypotheses. Remote Skills Artificial Intelligence (AI), Cloud Computing, Data Formats, Deep Learning, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), Image Processing, Leadership, Machine Learning, Modeling Languages, Rapid Prototyping, Set Goals, Signal Processing, Team Lead/Manager About the Company Saransh Inc Apply tot his job Apply To this Job
Insights drawn from the latest openings on this page so you can compare employers, locations, and pay before applying.
Top Companies Hiring
careersprint5 roles
Fearless1 role
Hyatt Corporate Office1 role
Yelp, Inc1 role
Huron1 role
Hugging Face1 role
Top Locations
Remote10 roles
100% of these openings can be done remotely.
Salary Range Overview
Across 10 listings, advertised pay ranges from USD 112k to USD 269k.
Typical band: USD 122k – 209k.
Figures reflect employer-disclosed salaries on current openings and may vary by location, experience, and company stage.
Employment Types
Full-Time10 roles
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Here are some of the latest openings matching this category. Browse the full list above to filter by location, experience, and employment type.
#1Lead Machine Learning Engineer - Remote (US) or CA - Only W2
careersprintRemoteFull-TimePosted Jun 9, 2026
Role Lead Machine Learning Engineer Location Mountain View, CA (3 days a week onsite) (OR) Remote Job Type W2 Contract Duration 12 months Experience Senior/Lead Level Short Overview of JD Looking for a ML Engineer who will be working on the products related to seismic and well log data, identifying simple geologic char…
The ML Engineer is responsible for the overall development, deployment, and support of our machine learning operations Harbor Freight. This includes the architecture and implementation of tools for model training, model monitoring, feature stores, model deployments, and model maintenance. This role requires working wit…
FearlessRemoteFull-TimeUSD 121k–184k / yearPosted Jun 6, 2026
Job Requirements Artificial Intelligence & Machine Learning Engineer (Senior Consultant) At Fearless, this Artificial Intelligence & Machine Learning Engineer (Senior Consultant) collaborates with cross-functional teams to align the technical vision, implementation, and quality of software systems across development, r…
#4Lead Machine Learning Engineer - Remote (US) or CA - Only W2
careersprintRemoteFull-TimePosted Jun 9, 2026
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Info Dinamica Inc, is seeking the following. Apply via Dice today! Role Lead Machine Learning Engineer Location Mountain View, CA (3 days a week onsite) (OR) Remote Job Type W2 Contract Duration 12 months Experience Sen…
Hyatt Corporate OfficeRemoteFull-TimeUSD 133k–173k / year
Summary The Opportunity Hyatt Hotels Corporation seeks an enthusiastic Senior ML Engineer to join our Data Science and Machine Learning department. In this role, you will be collaborating closely with the broader Data and Analytics team, where you’ll be instrumental in continuing to make Hyatt a leading hospitality com…
#6Open-Source Machine Learning Engineer - US Remote
careersprintRemoteFull-TimePosted Jun 9, 2026
At Hugging Face, we're on a journey to democratize good AI. We're building the fastest-growing platform for AI builders, with over 11 million users who have shared more than 2M models, 700k datasets, and 600k apps. Our open-source libraries have more than 600k stars on GitHub. About the Role As an Open-Source Machine L…
#7Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)
Yelp, IncRemoteFull-TimeUSD 112k–269k / year
Summary Yelp's mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As a Staff-level ML Engineer on the Content Contributor…
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their fut…
#9Open-Source Machine Learning Engineer - US Remote
Hugging FaceRemoteFull-TimePosted May 29, 2026
At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets & 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on Github. About the Rol…
About the Role • We are seeking a highly skilled and motivated Machine Learning Engineer to join our innovative technology team. The ideal candidate will have a strong foundation in machine learning, spatial statistics, and deep learning, with a specific focus on analyzing complex 3D body scan data and associated healt…
Apply for remote Machine Learning jobs from companies hiring across the globe. This page features work-from-anywhere opportunities for professionals specializing in artificial intelligence, predictive modeling, and advanced algorithm development.
Machine Learning professionals design, build, and deploy models that enable systems to learn from data and improve performance over time. Employers are actively seeking candidates skilled in Python, TensorFlow, PyTorch, Scikit-learn, and deep learning frameworks. Experience with data preprocessing, feature engineering, model evaluation, and MLOps practices is highly valued.
Remote Machine Learning roles are available across industries including fintech, healthcare, e-commerce, cybersecurity, autonomous systems, SaaS, and AI startups. Many companies are building distributed AI teams, allowing professionals to collaborate globally while working from home.
Our curated listings include fully remote positions across North America, Europe, Asia-Pacific, and other global tech markets. Many roles offer competitive compensation, flexible schedules, and opportunities to work on cutting-edge AI products.
Each job posting provides detailed information about technical requirements, project scope, and application steps to help you quickly find the right opportunity.
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