ZipRecruiter

Log In

2

Remote Computer Science Artificial Intelligence Jobs in Massachusetts

Varsity Tutors

College Computer Science Tutor

Lynn, MA · Remote

$40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Varsity Tutors

College Computer Science Tutor

Quincy, MA · Remote

$40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Varsity Tutors

College Computer Science Tutor

Lowell, MA · Remote

$40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

next page

Showing results 1-20

People also search for

All JobsRemote Computer Science Artificial Intelligence JobsRemote Computer Science Artificial Intelligence Jobs in Massachusetts

Remote Computer Science Artificial Intelligence information

What are the key skills and qualifications needed to thrive as a Remote Computer Science Artificial Intelligence professional, and why are they important?

To thrive as a Remote Computer Science Artificial Intelligence professional, you need a strong background in computer science fundamentals, mathematics, machine learning, and programming languages such as Python, often supported by a relevant degree. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and version control systems is typically required, along with certifications in AI or data science. Excellent problem-solving, self-motivation, and effective remote communication skills help you stand out in distributed teams. These skills and qualities are crucial for developing robust AI solutions, collaborating virtually, and adapting to fast-evolving technologies.

How do remote Computer Science Artificial Intelligence professionals typically collaborate with team members across different time zones?

Remote AI professionals often work with global teams, requiring strong communication and collaboration skills. Teams frequently use project management tools, shared code repositories, and regular video meetings to stay aligned on goals and progress. Flexibility with meeting times and thorough documentation are essential for ensuring smooth collaboration. Building rapport through virtual channels and actively participating in discussions helps foster a sense of teamwork despite physical distance.

What are Remote Computer Science Artificial Intelligence jobs?

Remote Computer Science Artificial Intelligence (AI) jobs involve working from a location outside of a traditional office to design, develop, and implement AI systems and algorithms. Professionals in this field use programming, data analysis, and machine learning techniques to solve complex problems in areas such as natural language processing, computer vision, and robotics. These roles often require strong knowledge of mathematics, statistics, and programming languages like Python or Java. Remote AI jobs offer flexibility and the opportunity to collaborate with global teams using digital communication tools.

What is the difference between Remote Computer Science Artificial Intelligence vs Remote Data Science?

AspectRemote Computer Science Artificial IntelligenceRemote Data Science
Required CredentialsBachelor's or higher in Computer Science, AI certificationsBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentSoftware development, AI model training, algorithm designData analysis, visualization, statistical modeling
Employer & Industry UsageTech companies, research labs, AI startupsFinance, healthcare, e-commerce, tech firms
Common Search & ComparisonYesNo

Remote Computer Science Artificial Intelligence roles focus on developing AI algorithms, machine learning models, and software solutions. In contrast, Remote Data Science involves analyzing data, creating visualizations, and deriving insights. While both fields require strong technical skills and often similar educational backgrounds, their core responsibilities differ, making each suitable for different career interests within the tech industry.

What are popular job titles related to Remote Computer Science Artificial Intelligence jobs in Massachusetts? For Remote Computer Science Artificial Intelligence jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Artificial Intelligence jobs in Massachusetts look for? The top searched job categories for Remote Computer Science Artificial Intelligence jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Computer Science Artificial Intelligence jobs? Cities in Massachusetts with the most Remote Computer Science Artificial Intelligence job openings:
Remote Computer Science Artificial Intelligence jobs near you

AI Research Scientist - Photonic & Neuromorphic Computing

Axiomatic_AI

Boston, MA • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About us:
Axiomatic AI is building a new class of AI systems designed to reason with the rigor of the scientific method. By combining deep learning with formal logic and physics-based modeling, we create verifiable, interpretable AI systems that collaborate with and support human researchers in high-stakes scientific and engineering workflows.
Our mission, 30×30, is to deliver a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030.
We aim to revolutionize hardware design and simulation in these industries and are building a team of highly motivated professionals to bring these innovations from research into commercial products.
Position overview:
As an AI Research Scientist focused on photonic and neuromorphic computing, you will play a key role in designing AI algorithms and architectures, as well as simulation and optimization frameworks for emerging, non-traditional computing platforms. You will contribute to the development of algorithms, digital twins, and training methods that bridge AI, physics, and hardware-aware system design integrated within Axiomatic's next-generation agentic-AI-aware computational science tools.
This role is part of Axiomatic's long-term research and product roadmap and spans multiple projects and initiatives, working closely with AI researchers, physicists, and software engineers to translate advanced concepts into scalable, high-impact solutions.
Your mission
  • Simulation and digital twins: Develop simulation and digital-twin tools that capture physical effects such as nonlinearities, noise, and precision limits, enabling hardware-aware algorithm development.
  • Co-design and collaboration: Work closely with internal AI, software, and hardware teams to ensure tight alignment between algorithms, system constraints, and long-term platform goals such as automation of scientific workflows.
  • Algorithm and system design: Design and prototype machine-learning architectures and physics-aware optimization workflows for neuromorphic systems, exploring how AI models can be efficiently mapped onto emerging hardware substrates.
  • Research, benchmarking, and reporting: Evaluate system-level performance tradeoffs, conduct benchmarking studies, document results, and contribute to technical decision-making across Axiomatic's R&D portfolio.
Key requirements
  • PhD in Computer Science, Artificial Intelligence, Physics, Electrical Engineering, Applied Mathematics, or a related field.
  • Strong background in machine learning and neural-network architectures, with experience or strong interest in hardware-algorithm co-design, neuromorphic systems, or analog/unconventional computing.
  • Expert-level proficiency in Python and modern ML frameworks.
  • Solid understanding of scientific computing, modeling, and data-driven experimentation.
  • Ability to collaborate effectively in a multidisciplinary, fast-paced research environment.
Nice to have
  • Background in photonic, analog, or non-CMOS computing systems.
  • Experience with spiking neural networks, energy-efficient AI, or hardware-aware ML.
  • Familiarity with physical simulation tools or custom modeling pipelines.
  • Contributions to open-source or research software projects.
What we offer:
  • Competitive compensation
  • Stock Options Plan: Empowering you to share in our success and growth.
  • Cutting-Edge Tools: Access to state-of-the-art tools and collaborative opportunities with leading experts in artificial intelligence, physics, hardware and electronic design automation.
  • Professional Growth: Opportunities to attend industry conferences, present research findings, and engage with the global AI research community.
  • Impact-Driven Culture: Join a passionate team focused on solving some of the most challenging problems at the intersection of AI and hardware.

Team work model:Open to remote within the US
Primary location:Boston, US
Why join us?
At Axiomatic_AI, you will be working on technology that drives innovation in AI for scientific and engineering applications in line with our 30 x 30 mission. This is your opportunity to contribute to the development of new AI architectures that can reason coherently and produce interpretable and verifiable solutions. Consequently, see those ideas commercialized into products that will shape the future of hardware and computing, while collaborating with a global team of engineers and AI specialists. We believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, with focus on formal consistency. If you're ready to take your expertise in artificial intelligence and physics to the next level, we want to hear from you!

Apply