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Entry Level Remote Machine Learning Jobs in Wakefield, MA

Prudentia Sciences

Senior AI / ML Engineer

Boston, MA · On-site +1

$113K - $155K/yr

You'll work on production-grade LLM-based systems, knowledge graphs, and machine learning pipelines ... This is a remote-first position, but we'd love it if you're based in or near Boston. What You'll Do:

Wsgr

Innovations and AI Solutions Engineer

Boston, MA · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Redhat

Sofware Engineer (AI/ML)

Boston, MA · On-site +1

$108K - $173K/yr

Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow). * Exposure to cloud ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

salient predictions

[Your Dream Job]

Boston, MA · On-site +1

Machine Learning * Climate Science A bit more about working at Salient We are a small team on a ... We are a 100% remote organization with collaborators distributed between Alaska, Argentina, and ...

DataAnnotation

Web Application Developer

Lowell, MA · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Web Application Developer

Lynn, MA · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Full Stack Developer

Boston, MA · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Cambridge, MA · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Back End Developer

Lowell, MA · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Back End Developer

Quincy, MA · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Full Stack Engineer

Boston, MA · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsEntry Level Remote Machine Learning JobsEntry Level Remote Machine Learning Jobs in Wakefield, MA

Entry Level Remote Machine Learning information

See Wakefield, MA salary details

$12

$18

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How much do entry level remote machine learning jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for entry level remote machine learning in Wakefield, MA is $18.41, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $20.00 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Remote Machine Learning vs Entry Level Remote Data Science?

AspectEntry Level Remote Machine LearningEntry Level Remote Data Science
Required CredentialsBachelor's in CS, Math, or related; familiarity with ML frameworksBachelor's in CS, Statistics, or related; knowledge of data analysis tools
Work EnvironmentRemote, collaborative teams, coding-focusedRemote, data analysis, reporting, and visualization tasks
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

Entry Level Remote Machine Learning roles focus on developing algorithms and models using programming skills, while Entry Level Remote Data Science positions emphasize analyzing data, creating reports, and deriving insights. Both roles often require similar educational backgrounds and are common in tech-driven industries, but they differ in daily tasks and focus areas.

What are popular job titles related to Entry Level Remote Machine Learning jobs in Wakefield, MA? For Entry Level Remote Machine Learning jobs in Wakefield, MA, the most frequently searched job titles are:
What job categories do people searching Entry Level Remote Machine Learning jobs in Wakefield, MA look for? The top searched job categories for Entry Level Remote Machine Learning jobs in Wakefield, MA are:
What cities near Wakefield, MA are hiring for Entry Level Remote Machine Learning jobs? Cities near Wakefield, MA with the most Entry Level Remote Machine Learning job openings:
Entry Level Remote Machine Learning jobs near you
Infographic showing various Entry Level Remote Machine Learning job openings in Wakefield, MA as of June 2026, with employment types broken down into 79% Full Time, 13% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $38,296 per year, or $18.4 per hour.

Senior AI / ML Engineer

Prudentia Sciences

Boston, MA • On-site, Remote

$113K - $155K/yr

Other

Medical, Life

Posted 17 days ago

Job description

About Prudentia Sciences
Prudentia Sciences is an AI-powered technology platform transforming how biopharma, biotech, and life sciences investors approach portfolio management, due diligence, and value/risk simulation. Our platform accelerates investment in breakthrough therapies by:
  • Empowering biopharma to accelerate drug pipelines, maximize ROI, and achieve clinical and commercial success for greater patient impact
  • Enabling strategic positioning of asset value during portfolio planning and dealmaking
  • Equipping investors with data-driven insights to optimize capital allocation in drug asset transactions
Backed by GV (Google Ventures), Iaso Ventures, and Virtue, we're on a mission to unlock the full potential of pharmaceutical R&D by empowering decision-makers with real-time, data-driven insights.
ML/AI Engineer
We're looking for a driven, hands-on ML/AI Engineer to help us push the boundaries of what's possible in AI-driven drug development. You'll work on production-grade LLM-based systems, knowledge graphs, and machine learning pipelines-turning prototypes into powerful tools that make a real-world impact.
You'll collaborate across teams to design, build, and deploy intelligent systems that enhance how life sciences organizations make critical decisions. If you love working on technically challenging problems with direct impact in healthcare-this is the role for you.
This is a remote-first position, but we'd love it if you're based in or near Boston.
What You'll Do:
  • Design and Deploy LLM Systems: Develop scalable, production-ready LLM applications using frameworks like LangChain/LangGraph. Build robust RAG pipelines and integrate knowledge graphs for biological and clinical data.
  • Full-Stack AI Engineering: Write maintainable, high-performance code and build clean APIs and services for machine learning applications.
  • Data Engineering Collaboration: Work with data engineers to build and optimize data workflows and pipelines for high-quality data ingestion and processing.
  • Product-Focused Prototyping: Collaborate with product and domain teams to rapidly prototype AI solutions, iterate based on feedback, and scale models for production.
  • Model Deployment & MLOps: Use modern MLOps tools to deploy and monitor models in production environments (AWS preferred). Ensure scalability, observability, and resilience.
  • Collaborative Innovation: Partner with engineering, data, and business teams to identify and develop high-value AI/ML applications.
  • Continuous Learning: Stay ahead of the curve on emerging ML frameworks, GenAI capabilities, and healthcare technologies.
What We're Looking For:
Core Qualifications:
  • Education: Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Engineering, or a related field.
  • Hands-on AI Experience: Proven ability to build, train, and deploy ML and NLP models, especially those powered by LLMs and transformer architectures.
  • LLM & LangChain Experience: Practical experience working with frameworks like LangChain for applications such as Q&A systems, chatbots, or document automation.
  • Software Engineering: Strong coding skills in Python and experience using Git/GitHub and CI/CD practices.
  • Data Engineering Know-how: Comfort working with ETL pipelines, relational and non-relational databases, and data platforms like Snowflake or Databricks.
  • Big Data & ML Frameworks: Familiarity with Big Data tools (e.g., Apache Spark) and experience orchestrating data workflows using tools like Apache Airflow.
  • Cloud & MLOps: Experience with deploying ML models in cloud environments (AWS, GCP, or Azure) and using containerization/orchestration tools like Docker and Kubernetes.
Soft Skills:
  • Strong problem-solving skills and an analytical mindset.
  • Passion for continuous learning, rapid prototyping, and iterating based on user needs.
  • Autonomous, self-starter attitude with a strong sense of ownership.
  • Excellent communication skills-able to explain technical ideas clearly to non-technical audiences.
  • Collaborative team player with a desire to build things that truly matter.
Bonus:
  • Experience in healthcare, life sciences, or biopharma sectors (preferred but not required).
Why Join Us?
  • Make a tangible impact on drug development and patient outcomes.
  • Work with a passionate, mission-driven team tackling complex challenges.
  • Enjoy flexibility and autonomy in a remote-first culture.
  • Competitive salary, equity, and benefits.
  • Opportunity to grow with a fast-moving, well-funded startup backed by top-tier investors.
What We Offer
  • Impact: Your work directly enables breakthrough therapies to reach patients faster
  • Ownership: Build and lead the customer success function as a foundational leader
  • Growth: Shape customer experience during a critical scaling phase
  • Compensation: Competitive salary, performance bonus, and equity
  • Team: Collaborative, mission-driven colleagues passionate about transforming biopharma

Location
We are a remote-first company, but looking for team members to be located in the Northeast (Boston, New York, DC, etc.)

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