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Remote Deep Learning Engineer Jobs in Boston, MA

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$140K - $190K/yr

Deep ML/AI knowledge: Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling. Familiarity with NLP and large ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Lynn, MA ยท Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

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Remote Deep Learning Engineer information

See Boston, MA salary details

$11.9K

$91.1K

$152.1K

How much do remote deep learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote deep learning engineer in Boston, MA is $91,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $151,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do Remote Deep Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is a Remote Deep Learning Engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

AI/LLM Engineer (remote)

Safe Sign Technologies

Cambridge, MA โ€ข On-site, Remote

$150K/yr

Full-time

Posted 16 days ago


Job description

Join Safe Sign Technologies, a cutting-edge legal technology start-up founded at the University of Cambridge. Safe Sign aims to democratise the law for all people, equipping consumers and SMEs with robust and reliable tools to navigate legal complexity. As an AI/LLM Engineer, you will work alongside a world-leading team, innovating and delivering best-in-class technologies, often in demanding conditions and against challenging deadlines. Independent working, subject matter excellence and proactiveness are essential.
Responsibilities
  • LLM prompt engineering (Instruction Tuning, Chain-of-thought, automated prompt Engineering)
  • LLM training & fine-tuning (Parameter Efficient, Few-medium shot, )
  • Experimentation
  • Analysis and presenting results
  • Active study and keeping up with research literature
  • Ability to work independently
  • Ability to work towards an agreed goal and meet demanding deadlines

Qualifications and experience
  • Bachelor's degree in Computer Science, Engineering, Mathematics or related fields
  • Ability to implement and verify state-of-the-art algorithms
  • Experience running and managing experiments, analysing results and creating insights
  • Proficiency in software development (Python, Github, Jupyer Notebooks, etc.)
  • Proficiency with deep learning packages (such as PyTorch, Jax, or TensorFlow)
  • Experience with ML / LLM Software packages (e.g. HuggingFace, wandb, numpy, matplotlib, NLTK, etc.)
  • Good problem-solving and communication skills
  • Ability to work in a dynamic and fast-paced environment
  • Ability to demonstrate passion and knowledge in terms of relevant research topics
  • Experience solving complex technical problems

Qualifications and experience (preferred)
  • Master's or PhD in NLP or Machine Learning
  • First author/lead author publications at leading AI and NLP conferences (such as EMNLP, ACL, ICLR, ICML, NeuRIPS)
  • Demonstrated projects where relevant expertise has been used for real problems
  • Several years of experience working in this field

Salary & Benefits
  • Up to $150k/year salary
  • Real ability to shape technical agenda and have a deep impact
  • Mentorship and advice from top ML scientists (ex- or current DeepMind, Cambridge, UCL, Harvard)
  • Fully remote working