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Multimodal Learning Jobs in Boston, MA (NOW HIRING)

WHOOP

Senior AI Researcher (Foundation AI)

Boston, MA · On-site

... multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. • Conduct applied research in self-supervised learning, representation learning, and ...

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Multimodal Learning information

See Boston, MA salary details

$22.8K

$67K

$124.4K

How much do multimodal learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for multimodal learning in Boston, MA is $67,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $78,200.00 per year, depending on experience, location, and employer.

What is multimodal learning?

Multimodal learning is an area of machine learning that involves integrating and processing information from multiple types of data, such as text, images, audio, and video. The goal is to create models that can understand and make predictions based on more than one data modality, similar to how humans use various senses. This approach is used in applications like speech recognition with visual cues, image captioning, and video analysis. By combining different data types, multimodal learning systems can achieve better accuracy and more robust understanding.

What is the difference between Multimodal Learning vs Data Scientist?

AspectMultimodal LearningData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or Computer ScienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, AI development teams, academiaBusiness, tech companies, analytics teams
Industry UsageAI research, multimedia applications, roboticsData analysis, predictive modeling, business insights

Multimodal Learning focuses on developing AI models that process and integrate multiple data types like images, text, and audio. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve data and algorithms, Multimodal Learning is specialized in AI model development for complex data integration, whereas Data Scientists work broadly across data analysis and interpretation.

What are the key skills and qualifications needed to thrive in multimodal learning, and why are they important?

To excel as a Multimodal Learning Specialist, you need a solid background in machine learning, data science, and computer vision, often supported by an advanced degree in a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch, experience integrating data from diverse sources (e.g., text, audio, images), and knowledge of relevant algorithms are crucial. Strong problem-solving abilities, creativity, and effective collaboration are standout soft skills for this role. These competencies are vital for developing innovative models that can process and interpret complex, multi-source data to drive impactful AI solutions.

What are some common challenges faced by professionals working in multimodal learning roles, and how can they be addressed?

Professionals in multimodal learning frequently encounter challenges related to integrating and aligning data from multiple sources, such as text, images, audio, or video. Ensuring data quality and consistency across modalities can be complex, and developing models that effectively combine heterogeneous information often requires advanced technical skills and innovative thinking. Collaboration with domain experts and other data scientists is key to overcoming these obstacles, as is staying up to date with the latest research and tools in machine learning. Regular team meetings and cross-disciplinary workshops can help foster a collaborative environment and promote knowledge sharing.
What are popular job titles related to Multimodal Learning jobs in Boston, MA? For Multimodal Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Multimodal Learning jobs in Boston, MA look for? The top searched job categories for Multimodal Learning jobs in Boston, MA are:
What cities near Boston, MA are hiring for Multimodal Learning jobs? Cities near Boston, MA with the most Multimodal Learning job openings:
Multimodal Learning jobs near you
Infographic showing various Multimodal Learning job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $67,022 per year, or $32.2 per hour.

Manager, Machine Learning on Orbit

Boston Dynamics

Waltham, MA • On-site

$187K - $275K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Boston Dynamics is building the world's most advanced robots. The Spot quadruped robot performs inspections on thousands of sites around the world, helping customers to inspect, operate and optimize their industrial facilities.
We are seeking a highly experienced and motivated Manager, Machine Learning to support our Orbit team. Boston Dynamics is uniquely positioned to capture millions of multimodal datapoints from within industrial environments. This data feeds into the Orbit intelligent automation platform, coordinating robot fleets on hundreds of sites today.
In Orbit, we're building a foundation model with leading zero-shot performance on common industrial inspection tasks. In this role you will have the opportunity to design, build, and continuously improve Orbit's machine learning systems.
In this role you will:
  • Be a lead on a team of ~5 machine learning engineers.
  • Research, prototype, and deploy models leveraging multimodal data from robotic sensors to extract useful site information - anomalous machine states, object classification, etc.
  • Establish effective methods of evaluating inspection model performance.
  • Curate datasets to be used in model training, fine-tuning and evaluation.
  • Identify and employ model performance improvement strategies - e.g. fine tuning, model selection, and prompt engineering.

You will be a part of the Spot Applications Organization. Here you will work alongside full stack engineers and in close coordination with product management and design. You will be supported by ml platform engineers, and collaborate with researchers across Boston Dynamics.
We are looking for:
  • BS and 10+ years of experience, or MS and 7+ years of industry experience in Computer Science, Machine Learning, Robotics, or a related field.
  • Expert-level software development skills, particularly in python, with a strong command of software architecture, design patterns, and performance optimization techniques.
  • Experience training, fine tuning, and applying state of the art generative ai models. Preferably focused on computer vision tasks.
  • Experience with common ML tools (CUDA, pytorch), architectures and workflows.
  • Ability to track the current state of the art, and identify opportunities for product applications.
  • A willingness to dive deep into challenging problems in computer vision, develop creative customer-focused solutions in collaboration with teammates, and clearly communicate findings.

The salary or hourly pay range for this position will be clearly stated in the job posting as required by Massachusetts law. The base pay range for this position is between $187,580- 275,117. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and an annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.

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