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Applied Machine Learning Intern Jobs in Cambridge, MA

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

Required * BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI, Robotics, or a related field. * Strong hands-on programming experience in C++ and ...

GlaxoSmithKline

Applied AI Engineer

Cambridge, MA · On-site

We are building a future where state-of-the-art software, AI, and machine learning enable us to ... The Applied AI team sits at the intersection of business need and technical capability within the ...

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All JobsApplied Machine Learning Intern JobsApplied Machine Learning Intern Jobs in Cambridge, MA

Applied Machine Learning Intern information

See Cambridge, MA salary details

$27.9K

$46.5K

$96.2K

How much do applied machine learning intern jobs pay per year?

As of Sep 3, 2026, the average yearly pay for applied machine learning intern in Cambridge, MA is $46,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,300.00 per year, depending on experience, location, and employer.

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

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Applied Machine Learning Intern jobs near you

Senior Software Engineer - Robotics, Machine Learning & Picking Intelligence

F-Prime Capital

Boston, MA • On-site

$150 - $190/hr

Other

Posted 4 days ago

Job description

Senior Software Engineer – Robotics, Machine Learning & Picking IntelligenceAbout the Role

We are looking for a senior robotics engineer with strong applied machine learning experience to help own and evolve the intelligence behind robotic picking in production.

This is not a research role. You will build, deploy, and continuously improve perception, decision-making, and learning systems that directly affect robot performance in customer warehouses.

You'll work across robotics, ML, and system architecture to improve:

  • Pick success and reliability
  • Segmentation and perception quality
  • Grasp and suction selection strategies
  • Placement and exception handling
  • Overall system robustness in the real world
What You'll Work On

Depending on your strengths and interests, you will contribute across areas such as:

  • Improve pick success, reliability, and throughput across production robots
  • Build and deploy perception and segmentation models for warehouse environments
  • Develop intelligent picking, retry, and placement strategies that reduce exceptions
  • Integrate ML outputs into real-time robotic decision systems
  • Work hands‑on with robots, cameras, and sensor data to harden systems
  • Use production data to continuously improve performance and robustness
  • Collaborate closely with hardware, operations, product, and customer teams
Who We're Looking For

We're looking for a senior-level engineer who is either strong across robotics and ML — or very strong in one with the ability and curiosity to grow in the other.

Required Experience
  • 5+ years of professional experience in robotics, ML engineering, or related fields
  • Strong Python experience
  • Experience delivering production-level code
  • Hands‑on experience with real-world systems, including robotics, sensors, or deployed ML
  • Strong problem‑solving mindset and comfort working across system boundaries
Preferred Qualifications
  • Applied machine learning / MLOps experience (model deployment, iteration, monitoring)
  • Computer vision experience (segmentation, detection, depth, perception pipelines)
  • Strong kinematics background
  • Experience with integrating and calibrating color and depth sensors
  • Experience with manipulation, picking, grasping, or physical automation
  • Familiarity with Docker, Linux, and production infrastructure
  • Experience using production data to draw actionable insights
  • DevOps experience
Why Join RightHand Robotics
  • Work on robots in production, not demos
  • Make tangible impact in a small, senior team
  • Solve challenging real-world robotics + ML problems
  • High ownership, high trust engineering culture
  • Flexible work environment
About RightHand Robotics

At RightHand Robotics, we build intelligent robotic piece‑picking systems that operate in real warehouses, at real scale, every day. Our robots don't live in demos or research labs, they power production fulfillment across thousands of SKUs and demanding customer environments.

We are a small, highly practical engineering team focused on shipping reliable, scalable automation that delivers measurable customer value.

If you're excited by solving hard real-world robotics problems, working hands‑on with robots, and seeing your work deployed quickly, this role is for you.

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