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Multimodal Learning Jobs in Boston, MA (NOW HIRING)

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Experience with foundation models, generative AI, self-supervised learning, multimodal learning, or other advanced AI approaches applied to medical imaging. * Expertise in model deployment and ...

Abbott

Staff AI/ML Engineer

Westford, MA

$99K - $198K/yr

Experience with foundation models, generative AI, self-supervised learning, multimodal learning, or other advanced AI approaches applied to medical imaging. * Expertise in model deployment and ...

Abbott

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Experience with foundation models, generative AI, self-supervised learning, multimodal learning, or other advanced AI approaches applied to medical imaging. * Expertise in model deployment and ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... Design and implement efficient and scalable MLLM models for inference and analysis of multimodal ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Design and implement efficient and scalable MLLM models for inference and analysis of multimodal ... Learning & Development programs * And yes, we have snacks in our offices Benefits listed herein may ...

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 ... Depending on your background, that might mean predictive and tabular modeling, multimodal systems ...

Cisco

Principal Machine Learning Engineer

Boston, MA · On-site

$291K - $369K/yr

MultiModal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and ... MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates ...

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All JobsMultimodal Learning JobsMultimodal Learning Jobs in Boston, MA

Multimodal Learning information

See Boston, MA salary details

$22.8K

$67K

$124.4K

How much do multimodal learning jobs pay per year?

As of Jul 20, 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 as a Multimodal Learning Specialist, 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 July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $67,022 per year, or $32.2 per hour.

Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings

Lila Sciences

Cambridge, MA

Other

Re-posted 16 days ago

Job description

Your Impact at LILA

We're hiring a Machine Learning Scientist to advance multimodal reasoning with visionlanguage models (VLMs) on real-world scientific data including, but not limited to: figures and plots, microscopy data from diverse sources. You'll design and build stateoftheart methods to advance the state of Scientific Superintelligence.

What You'll Be Building

  • Lead research on multimodal reasoning systems that interpret scientific data (images, plots, text, etc) using stateoftheart and custom VLMs.
  • Design training, adaptation and test-time methods and strategies (e.g., instruction tuning, supervised learning, RLHF, RAG) for scientific understanding tasks.
  • Build datasets and benchmarks from real scientific artifacts (e.g., microscopy, spectra, protocols) to understand model performance.
  • Develop perception modules (e.g, OCR, table/structure recognition, plot parsing) for multi-modal data modalities.
  • Collaborate with domain scientists and engineers to scale research into production ready systems for scientific superintelligence.

What You'll Need to Succeed

  • Advanced degree in a relevant field (CS/AI, Applied Math/Stats, EE) or a physicalsciences discipline (Materials, Chemistry, Physics) with strong ML focus; or equivalent research/industry experience.
  • Track record in multimodal ML or VLMs demonstrated via shipped systems, publications, or opensource.
  • Understanding of scientific QA/benchmarks and custom evaluation design.
  • Experience with multi-modal fine-tuning, document parsing & understanding, dataset curation and benchmarking.
  • Strong engineering skills centered on modern machine learning frameworks (e.g., PyTorch, Huggingface).
  • Clear communication and collaboration in crossfunctional settings.

Bonus Points For

  • Experience with scientific data modalities in real-world laboratories such as microscopy images.
  • Publications in top ML/CV/NLP venues or tangible impact in applied industrial research.
  • Contributions to opensource multimodal tooling, evaluation suites, or datasets.

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