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Quantum Machine Learning Engineer Jobs in Grafton, MA

YO AI Labs

Machine Learning Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

Machine Learning Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Roku

Staff Machine Learning Engineer, Ad Serving

Boston, MA · On-site

$195K - $435K/yr

We are looking for a staff-level machine learning engineer with deep research and data science expertise to lead marketplace intelligence and demand optimization initiatives. About the Role This role ...

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All JobsQuantum Machine Learning Engineer JobsQuantum Machine Learning Engineer Jobs in Grafton, MA

Quantum Machine Learning Engineer information

See Grafton, MA salary details

$31.9K

$130.4K

$195.9K

How much do quantum machine learning engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for quantum machine learning engineer in Grafton, MA is $130,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a quantum machine learning engineer?

A Quantum Machine Learning Engineer is a professional who combines expertise in quantum computing and machine learning to develop algorithms and solutions that leverage quantum hardware for advanced data processing tasks. They work on designing, implementing, and testing quantum algorithms that can solve problems faster or more efficiently than classical computers. Their work often involves collaborating with physicists, data scientists, and software engineers to bridge the gap between quantum theory and practical applications. This role requires strong backgrounds in quantum mechanics, computer science, and statistical learning techniques.

What are the key skills and qualifications needed to thrive as a quantum machine learning engineer?

To thrive as a Quantum Machine Learning Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming (often Python or C++), typically supported by an advanced degree in physics, computer science, or a related field. Familiarity with platforms like Qiskit, Cirq, or TensorFlow Quantum, and knowledge of quantum algorithms and cloud-based quantum computing services are essential. Creative problem-solving, analytical thinking, and strong collaboration skills help distinguish top performers in this interdisciplinary field. Mastery of these skills enables innovation in developing and deploying quantum machine learning solutions to solve complex, cutting-edge problems.

How do quantum machine learning engineers typically collaborate with classical machine learning teams and quantum hardware specialists?

Quantum Machine Learning Engineers often serve as a bridge between classical machine learning experts and quantum hardware specialists. They work closely with data scientists to adapt machine learning algorithms for quantum environments and collaborate with hardware teams to ensure algorithms are optimized for specific quantum processors. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a highly collaborative work environment. This collaboration is essential for successfully integrating quantum solutions into existing workflows and advancing the organization's quantum computing initiatives.

Is quantum machine learning a good career?

Quantum machine learning engineers work at the intersection of quantum computing and machine learning, focusing on developing algorithms that leverage quantum hardware. The field is emerging with high growth potential, requiring skills in quantum algorithms, programming languages like Python, and understanding of both quantum mechanics and machine learning principles. As quantum technology advances, demand for specialists in this area is expected to increase, making it a promising career path for those with relevant expertise.

What job categories do people searching Quantum Machine Learning Engineer jobs in Grafton, MA look for?

The top searched job categories for Quantum Machine Learning Engineer jobs in Grafton, MA are:

What cities near Grafton, MA are hiring for Quantum Machine Learning Engineer jobs?

Cities near Grafton, MA with the most Quantum Machine Learning Engineer job openings:

Quantum Machine Learning Engineer jobs near you
Infographic showing various Quantum Machine Learning Engineer job openings in Grafton, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $130,399 per year, or $62.7 per hour.

Senior Machine Learning Engineer, Voice Assistant

Roku

Boston, MA

$216K - $273K/yr

Full-time

Medical, Life, PTO

Re-posted 23 days ago

Job description

About the Team

The Roku Voice team is responsible for Roku's Voice product, which is used by millions of Roku users. We allow our users to easily and effortlessly control their TV, find content to stream, and more, all through the power of their voice. We deliver this engaging and delightful experience to our users through state-of-the-art technologies and platforms.


About the Role 

Roku's Entertainment Assistant team is looking for ambitious, experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated speech recognition, conversational systems, and building large-scale production systems. You have a once-in-a-lifetime opportunity to contribute to building the very core of Roku's Entertainment Assistant and be part of a world-class team.

For Massachusetts Only - The estimated annual salary for this position is between $216,000 - $273,400 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off

How will I use AI at Roku? 

At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. 
We value your AI skills if you have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.  

What You'll Be Doing
  • Design and develop software and algorithms for Roku's state-of-the-art entertainment assistant
  • Design and develop software components for high-availability and high-performance cloud solutions
  • End-to-end responsibility from developing a proof of concept to production
  • Have a strong programming background with a lot of hands-on experience in building large-scale production systems
  • Strong algorithmic background and like intellectual challenges and solving complex problems
  • Working across teams and pulling in the best talent from the organization to achieve your goals
  • Contribute with new ideas and evaluate multiple solutions with your peers before settling down on specific solutions
  • You are self-driven, willing, and able to take complete ownership of initiatives and make pragmatic technical decisions 

We're Excited If You Have
  • 5+ years of industry experience (or advanced degree with 3+ years) applying ML/AI to NLU or related domain
  • Experience working with big data systems (Spark, EMR, S3, Airflow) and programming languages (Java or Python, or C++)
  • Good understanding of machine learning fundamentals like regression, classification, ranking, neural networks, and sequence models for text/speech
  • Hands-on experience in building challenging production systems
  • Strong CS fundamentals, with the ability to write algorithms with ease
  • Familiarity and experience deploying and maintaining machine learning models (transformer-based models in production is a plus), including identifying the right KPIs and objective functions
  • Experience with advanced machine learning techniques, including LLM and generative AI
  • Experience building in-production NLU and/or ASR systems
  • Bachelor's Degree preferred

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