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Remote Senior Machine Learning Engineer Jobs (NOW HIRING)

Paradigm Health

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will take a leading role in designing and deploying sophisticated ML models, including GenAI and LLM-based solutions, that optimize clinical trial workflows ...

Amgen, Inc.

Senior Machine Learning Engineer

$107K - $146K/yr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this ... This role is eligible for remote in the US. Roles & Responsibilities: * Deliver AI and ML-enabled ...

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · Remote

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

OneStudyTeam

Senior Machine Learning Engineer

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

DailyPay

Senior Machine Learning Engineer

New York, NY · Remote

$170K - $190K/yr

We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You will play a key role in maturing and scaling our machine learning infrastructure, ensuring the ...

Amgen

Senior Machine Learning Engineer

$107K - $146K/yr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this ... This role is eligible for remote in the US. Roles & Responsibilities: * Deliver AI and ML-enabled ...

Grid Dynamics Holdings

Senior Machine Learning Engineer

$107K - $146K/yr

We're hiring a Senior Machine Learning Engineer for our Personalization Platform team within the Membership organization. You'll partner closely with Data Scientists to design, deploy, and scale ...

DailyPay

Senior Machine Learning Engineer

Minneapolis, MN · Remote

$170K - $190K/yr

We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You will play a key role in maturing and scaling our machine learning infrastructure, ensuring the ...

Thorn

Senior Machine Learning Engineer

$125K - $165K/yr

You'll collaborate with a diverse group of peers in a remote environment centered on wellness, care ... About the Role As a Senior ML Engineer at Thorn, this role will build, deploy and maintain world ...

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... learning. #LI-Remote Benefits in our US offices: * Discretionary Time Off Policy (Unlimited ...

Akasa, Inc

Sr. Machine Learning Engineer

$120/hr

About the Role As a Sr. Machine Learning Engineer, you'll report to our Engineering Manager and ... While we support remote work on a variety of teams, we have a strong Bay Area presence across the ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding ...

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Remote Senior Machine Learning Engineer information

See salary details

$75.5K

$143.3K

$192K

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

As of Sep 3, 2026, the average yearly pay for remote senior machine learning engineer in the United States is $143,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $161,500.00 per year, depending on experience, location, and employer.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

More about Remote Senior Machine Learning Engineer jobs

What cities are hiring for Remote Senior Machine Learning Engineer jobs?

Cities with the most Remote Senior Machine Learning Engineer job openings:

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Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $143,292 per year, or $68.9 per hour.

Sr Machine Learning Engineer

Blue River Technology

Santa Clara, CA • On-site, Remote

$122K - $168K/yr

Full-time

Posted 6 days ago

Job description

Title and Location: Sr Machine Learning Engineer in Santa Clara, CA. 

Job Responsibilities

  • Implement deep-learning models and frameworks for scene segmentation, depth estimation, active learning, and the development of situational awareness for autonomous vehicles operating in construction and agriculture environments.
  • Build and evaluate machine-learning models using data from multiple sensor modalities, including vision, radar, and thermal cameras, and assess trade-offs in accuracy, robustness, and latency.
  • Research and develop new methods to improve detection performance and increase processing speed.
  • Collaborate with robotics engineers to transition algorithms from desktop and server-class systems to real-time field-deployed robotic platforms.
  • Work with systems and software engineers to design and maintain data-processing and annotation pipelines that support continuous system monitoring, evaluation, and improvement.

Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or related field plus 1 year and 6 months of related experience.
  • Required skills:
    • Train and optimize computer vision models for object detection, semantic segmentation, and monocular/stereo depth estimation using supervised and self-supervised learning, including loss function customization and multi-scale model training (1 yr, 6 mos).
    • Build and evaluate deep learning models using PyTorch and TensorFlow, implementing transfer learning, custom training loops, distributed training, gradient-based optimization, and hyperparameter tuning for large-scale image datasets (1 yr, 6 mos).
    • Evaluate model inference performance and runtime behavior across heterogeneous hardware platforms, including high-performance computing (HPC) GPU environments, local NVIDIA GPU development systems, and VPU-based inference on production deployment machines, to ensure real-time execution requirements are met (1 yr, 6 mos).
    • Design and implement end-to-end ML pipelines for data ingestion, preprocessing, model training, validation, experiment tracking, and deployment using reproducible workflows and version-controlled environments (1 yr, 6 mos).
    • Integrate and validate synthetic image datasets for computer vision model training, including domain alignment, data normalization, camera parameter adjustment, and evaluation of generalization performance against real-world datasets (1 yr, 6 mos).
    • Research and implement emerging computer vision architectures and training strategies, including transformer-based backbones, advanced loss functions, and optimization techniques, to improve model accuracy and inference efficiency (1 yr, 6 mos).
    • Perform dataset curation, large-scale image preprocessing, exploratory error analysis, and implement active learning strategies based on model uncertainty and diversity sampling to improve training data quality and reduce false positives (1 yr, 6 mos).
  • 5% domestic travel required to visit testing facilities and customer sites. May work remotely; periodic time in office required; must live within commuting distance of office.

The US annual base salary range for this position is $149,365 - $275,000, along with eligibility for Blue River's bonus and benefit programs.

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