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No Experience Machine Learning Jobs in Needham, MA

Socket.dev

Machine Learning Research Engineer

Cambridge, MA · On-site

$120 - $192.50/hr

Professional Experience & Qualifications * Masters level (or above) experience in CS, ML, and AI is preferred, but can be relaxed for exceptional candidates. * Strong foundation in machine learning ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.

VideaHealth

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in ... Experience with healthcare data or regulated ML systems. * Background in multimodal or stacked ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.

Motional

Machine Learning Systems Engineer

Boston, MA · On-site

$144K - $192K/yr

Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.

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How much do no experience machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for no experience machine learning in Needham, MA is $24.86, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $27.74 per hour, depending on experience, location, and employer.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the no experience machine learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

Can you get a machine learning job with no experience?

Entry-level machine learning roles often require some knowledge of programming, statistics, and data analysis, but many employers are willing to hire candidates with little to no experience if they demonstrate strong foundational skills and a willingness to learn. Building a portfolio through online courses, projects, and certifications can improve chances of securing such positions. Internships and apprenticeships are also common pathways for those new to the field.

What are the most commonly searched types of Machine Learning jobs in Needham, MA?

The most popular types of Machine Learning jobs in Needham, MA are:

What job categories do people searching No Experience Machine Learning jobs in Needham, MA look for?

The top searched job categories for No Experience Machine Learning jobs in Needham, MA are:

What cities near Needham, MA are hiring for No Experience Machine Learning jobs?

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No Experience Machine Learning jobs near you
Infographic showing various No Experience Machine Learning job openings in Needham, MA as of August 2026, with employment types broken down into 53% Full Time, and 47% Part Time. Highlights an 100% In-person job distribution, with an average salary of $51,710 per year, or $24.9 per hour.

Machine Learning / Reinforcement Learning Infrastructure Engineer

Eka Robotics

Cambridge, MA • On-site

$118K - $155K/yr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Eka Robotics is on a mission to build intelligence for the physical world through advanced robotics. They are seeking a Reinforcement/Machine Learning Infrastructure Engineer to design, implement, and maintain large-scale model training systems that will enhance their robotics research and deployment efforts.
Responsibilities:
• Own Training Infrastructure: Design, implement, and maintain robust systems for large-scale model training, including job orchestration, scheduling, checkpointing, and experiment tracking.
• Developer Experience & Tooling: Build streamlined, intuitive abstractions for launching, monitoring, debugging, and reproducing experiments, minimizing friction and maximizing productivity for our research teams.
• Scale Distributed Training: Work closely with researchers to reliably scale reinforcement learning and machine learning pipelines across compute clusters.
• Resource Management: Ensure efficient allocation and utilization of cloud-based compute resources while building the foundational systems needed for future scaling.
• Collaborate with Researchers: Partner with the research team to understand their needs, build infrastructure that supports cutting-edge methods, guide best practices for training at scale, and contribute to core JAX model and training code.
Qualifications:
Required:
• BS, MS or higher in Computer Science, Computer Engineering, Machine Learning or a related technical field.
• Strong software engineering fundamentals with a proven track record of building ML training infrastructure, internal developer platforms, or scalable systems.
• Hands-on experience with large-scale training using JAX (preferred), PyTorch, or TensorFlow.
• Familiarity with distributed training, multi-host setups, data pipelines, and managing workloads on cloud platforms or orchestration systems (e.g., Kubernetes, SLURM, GCP, AWS).
• Strong cross-functional communication skills, a deep ownership mindset, and a passion for building tools that improve the developer experience.
• Experience building automated testing pipelines, CI/CD for ML workflows, and custom logging/telemetry stacks.
Preferred:
• Background in robotics, reinforcement learning or other machine learning systems.
• Experience designing abstractions that balance researcher flexibility with system reliability.
Company:
Eka Robotics develops robotics and artificial intelligence systems for physical task automation. Founded in , the company is headquartered in Cambridge, MA, US, , with a team of 11-50 employees. The company is currently Early Stage.

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