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Remote Senior Machine Learning Engineer Jobs (NOW HIRING)

Attentive

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Censys

Senior Machine Learning Engineer

$174K - $206K/yr

This position is remote within the United States. Role Summary: We're looking to hire a Senior Machine Learning Engineer to build models and data-driven systems that help classify, label, and enrich ...

Censys

Senior Machine Learning Engineer

$174K - $206K/yr

This position is remote within the United States. Role Summary: We're looking to hire a Senior Machine Learning Engineer to build models and data-driven systems that help classify, label, and enrich ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

6sense

Sr. Machine Learning Engineer

San Francisco, CA · Remote

$200K - $260K/yr

The Opportunity We're hiring a Senior Machine Learning Engineer to join our AI team, reporting ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

EvenUp

Senior Machine Learning Engineer

San Francisco, CA · Remote

$196K - $265K/yr

Senior Machine Learning Engineer At EvenUp, we leverage cutting-edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise ...

Anno.ai

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

Position Overview As a Senior Machine Learning Engineer at Anno.ai, you will design, develop, test, document, deploy, and maintain production machine learning and statistical modeled software to ...

AHU Technologies, Inc.

Senior Machine Learning Engineer

$150K - $300K/yr

United States - remote Visa: US Citizens or Green Card Holders Fluency in Chinese/Mandarin is ... Cannot show core Senior Machine Learning Engineer, Recommendation experience * Not comfortable with ...

Collectorsuniverse

Senior Machine Learning Engineer

$107K - $146K/yr

For remote roles, and at our discretion, candidates may be asked to participate in an on-site ... We're looking for a Senior Machine Learning Engineer to join our AI/ML team and build applied ...

Planet

Senior Machine Learning Engineer

Arlington, VA · On-site +1

$120K - $165K/yr

As a Senior Machine Learning Engineer, you will drive hands-on engineering and modeling for Defense ... Practical knowledge of remote sensing, satellite imagery, or related geospatial domains * Knowledge ...

Anno.ai

Senior Machine Learning Engineer

$107K - $146K/yr

Position Overview As a Senior Machine Learning Engineer at Anno.ai, you will design, develop, test, document, deploy, and maintain production machine learning and statistical modeled software to ...

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Remote Senior Machine Learning Engineer information

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$75.5K

$143.3K

$192K

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

As of Sep 10, 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.

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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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $143,292 per year, or $68.9 per hour.

Senior Machine Learning Engineer

Remote

Attentive
See more jobs at Attentiveexternal

$107K - $146K/yr

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Attentive is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.
Responsibilities:
• Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems
• Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration
• Proactively safeguard model and system quality through testing, monitoring, validation, and alerting
• Collaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions
• Continuously improve system reliability, performance, and engineering efficiency
• Contribute to technical direction and best practices across the ML engineering team
• Mentor and support other engineers through code reviews, design discussions, and knowledge sharing
• Thrive in a high-impact, fast-paced, late-stage startup environment
Qualifications:
Required:
• 6+ years of professional experience building production machine-learning software systems
• Proven experience owning ML systems long enough to see the downstream impact of design decisions
• Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost
• Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib
• Hands-on experience building automated pipelines for data processing, model training, validation, and deployment
• Experience collaborating with cross-functional teams to deliver ML-powered features
• Strong communication skills and a high sense of ownership
Company:
Attentive is a personalized mobile messaging platform that facilitates businesses with AI powered SMS and e-mail marketing solutions. Founded in 2016, the company is headquartered in Hoboken, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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