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Day Shift Remote Python Machine Learning Jobs (NOW HIRING)

Machine Learning Engineer

Somerville, MA ยท On-site +1

$170K - $200K/yr

Strong experience with Python and PyTorch * Experience designing experiments and evaluating model ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Machine Learning Engineer

Somerville, MA ยท On-site +1

$170K - $200K/yr

Strong experience with Python and PyTorch * Experience designing experiments and evaluating model ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Strong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit ... day-to-day: * Be a member of a world-class team focused on inventing solutions that have the ...

Required : โ€ข Experience implementing ML systems at scale in Java, Scala, Python or similar ... machine learning models from research to production โ€ข Collaborative mindset, enjoy working ...

Required : โ€ข Experience implementing ML systems at scale in Java, Scala, Python or similar ... machine learning models from research to production โ€ข Collaborative mindset, enjoy working ...

Machine Learning Engineer

San Francisco, CA ยท On-site +1

$164K - $266K/yr

... remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may ... Expertise in Python and experience with modern ML frameworks such as PyTorch Preferred * Experience ...

Machine Learning Engineer

Seattle, WA ยท On-site +1

$164K - $266K/yr

... remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may ... Expertise in Python and experience with modern ML frameworks such as PyTorch Preferred * Experience ...

Long Island City, NY 11101 (Onsite 4 Days/week) Type: Permanent Full Time About the Role : In this ... Strong programming skills in languages such as Python and experience with libraries like TensorFlow ...

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven ... Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch ...

Senior Machine Learning Engineer

Manhattan, NY ยท On-site +1

$150K - $180K/yr

Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to infuse ... Develop and maintain backend services using Python, focusing on AI-driven applications. * Design ...

... * We're remote - Work from wherever you want. We collaborate in real time on Slack or ... Important Skills * Several years of experience with Python and machine learning frameworks

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and ...

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and ...

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and ...

Implement scalable machine learning solutions using Python and modern ML frameworks such as PyTorch and Hugging Face. * Evaluate model performance, improve accuracy, and optimize inference pipelines ...

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Day Shift Remote Python Machine Learning information

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How much do day shift remote python machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for day shift remote python machine learning in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Day Shift Remote Python Machine Learning vs Data Analyst?

AspectDay Shift Remote Python Machine LearningData Analyst
Required SkillsPython, Machine Learning, Data ModelingExcel, SQL, Data Visualization
Work EnvironmentRemote, collaborative teams, tech-focusedRemote or on-site, business-focused
Industry UsageTech, AI, Data ScienceBusiness, Marketing, Finance

Day Shift Remote Python Machine Learning roles focus on developing algorithms and models using Python, often in tech industries. Data Analysts interpret data to inform business decisions, utilizing tools like Excel and SQL. While both roles may be remote and require analytical skills, Python Machine Learning positions emphasize coding and model building, whereas Data Analysts focus on data interpretation and reporting.

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

A Day Shift Remote Python Machine Learning Engineer needs strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science, mathematics, or a related field. Experience with libraries and tools such as TensorFlow, PyTorch, scikit-learn, Git, and cloud platforms is commonly required, along with relevant certifications being advantageous. Excellent problem-solving, self-motivation, and clear communication skills help individuals excel in a remote and collaborative environment. These abilities ensure effective model development, deployment, and teamwork while meeting project goals in distributed settings.

What are Day Shift Remote Python Machine Learning jobs?

Day Shift Remote Python Machine Learning jobs are positions where professionals use Python to develop, implement, and maintain machine learning models while working remotely during standard daytime hours. These roles often involve tasks such as data analysis, feature engineering, model training, and deployment. By working remotely, employees have flexibility in their work environment, while the day shift ensures alignment with typical business hours for collaboration. These jobs are popular in industries like tech, finance, healthcare, and more, where machine learning plays a crucial role in decision-making and automation.

How do remote Python Machine Learning professionals typically collaborate with team members during the day shift?

Remote Python Machine Learning professionals often use a variety of online collaboration tools, such as Slack, Zoom, and project management platforms, to communicate with team members throughout the workday. Daily stand-up meetings, code reviews, and shared repositories (like GitHub) help ensure alignment on project goals and progress. Collaboration also extends to pair programming sessions, brainstorming model improvements, and jointly troubleshooting data issues. Being proactive in communication and documentation is key to staying connected and productive in a remote day shift environment.
More about Day Shift Remote Python Machine Learning jobs
What cities are hiring for Day Shift Remote Python Machine Learning jobs? Cities with the most Day Shift Remote Python Machine Learning job openings:
What are the most commonly searched types of Shift Remote Python Machine Learning jobs? The most popular types of Shift Remote Python Machine Learning jobs are:
What states have the most Day Shift Remote Python Machine Learning jobs? States with the most job openings for Day Shift Remote Python Machine Learning jobs include:
Infographic showing various Day Shift Remote Python Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 28% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

Modulate

Somerville, MA โ€ข On-site, Remote

$170K - $200K/yr

Full-time

Posted 19 days ago


Job description

Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform โ€” APIs, workflows, and applications that bring voice understanding to customers at enterprise scale.

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting-edge machine learning models that power our products. You'll work closely with researchers, engineers, product leaders, and executives to bring innovative ML solutions from concept to production.

Your Impact
  • Develop and deploy high-quality machine learning models that power Modulate's products
  • Advance our capabilities in conversational voice intelligence through applied research and engineering
  • Help translate business needs into scalable ML solutions
  • Improve model performance, reliability, and efficiency across our platform
  • Contribute to a collaborative, high-performing engineering culture
What You Will Do
  • Design, train, evaluate, and deploy machine learning models for production applications
  • Collaborate with engineers, researchers, product managers, and company leadership to define and execute on ML initiatives
  • Conduct experiments to improve model quality, accuracy, robustness, and scalability
  • Partner with platform and infrastructure teams to operationalize and monitor ML systems in production
  • Analyze model performance and identify opportunities for improvement
  • Communicate technical findings, tradeoffs, and recommendations to both technical and non-technical stakeholders
  • Contribute to technical strategy and help shape the future direction of Modulate's ML systems
  • Review code, share knowledge, and mentor teammates as needed
  • Stay current on advances in machine learning and identify opportunities to apply new techniques to our products
What We Are Looking For
  • Experience conducting machine learning research and shipping models to production
  • Strong experience building and deploying production-grade machine learning systems
  • Strong experience with Python and PyTorch
  • Experience designing experiments and evaluating model performance
  • Ability to work across research and engineering disciplines to deliver business impact
  • Strong communication skills and the ability to explain complex technical concepts clearly
  • Experience working collaboratively in cross-functional environments
Nice to Have
  • Experience communicating research externally through papers, conferences, or open-source contributions
  • Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.)
  • Experience with cloud infrastructure, especially AWS
  • Experience building and maintaining large-scale ML infrastructure or MLOps systems
  • Experience in fast-paced startup environments
Benefits
  • Competitive salary + equity
  • Full health, dental, and vision coverage
  • Flexible PTO with a strong culture of taking it
  • Weekly team lunches with dietary accommodations
  • Hybrid work with core in-office days and flexible remote options
  • Leadership and technical learning sessions
  • Career development and continued growth support
  • Up to 8 weeks work-from-anywhere policy
  • A deeply inclusive, human-centered culture
Pay Transparency

Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience.

Salary: $170,000โ€“$200,000
Equity: Offered

Additional benefits include HSA, FSA, 15 company holidays, and professional development resources.

Candidates may be located anywhere in the U.S., with preference for proximity to major tech hubs such as Boston, San Francisco, Seattle, New York, or Austin.

About Modulate

Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We're trusted by leaders in gaming and beyondโ€”and we're growing fast.

We believe that great cultures don't just happen. That's why we've built a foundation of intentional systems: from bias-reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like peopleโ€”and we're building technology that does the same.

Ready to join us? Apply here or reach out directlyโ€”we're excited to meet you.

A Quick Note as You Apply
  • Please apply through the website rather than emailing careers@modulate.ai.
  • For application questions ("Your fit for the role," "Your values/goals," and "Why Modulate?"), focus on relevant experience and motivations.
  • Avoid including protected demographic information.
  • Keep responses authentic and in your own voice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.