Foundation Model Research Scientist
Confirmed live in the last 24 hours
Boston Dynamics AI Institute

11-50 employees

Advancing robotics and AI through research and engineering
Company Overview
The AI Institute, founded by Marc Raibert of Boston Dynamics, is a research-driven organization that merges the strengths of university and corporate labs to pioneer advancements in robotics and artificial intelligence. With a focus on cognitive AI, athletic AI, organic hardware design, and robot ethics, the Institute is committed to creating intelligent machines that enhance human safety, productivity, and quality of life. The company's culture promotes technical fearlessness, fundamental thinking, cooperative teamwork, and respect, offering an enriching environment for top-tier talent in robotics, machine learning, and engineering.
AI & Machine Learning
Industrial & Manufacturing
Robotics & Automation

Company Stage

N/A

Total Funding

$400M

Founded

2022

Headquarters

Cambridge, Massachusetts

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

67%

2 year growth

161%
Locations
Cambridge, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Agile
Python
Airflow
Apache Flink
CUDA
Pytorch
Apache Spark
Apache Kafka
Docker
AWS
Hadoop
Development Operations (DevOps)
Data Analysis
CategoriesNew
Lab & Research
AI & Machine Learning
DevOps & Infrastructure
Software Engineering
Requirements
  • MS or PhD in a foundation-model-relevant field
  • 7+ years of experience in research and development
  • Knowledge of large language models, foundation models, model parallelism, or distributed training techniques
  • Excellent programming skills in some rapid prototyping environments such as Python or C++
  • Expertise with deep learning frameworks such as PyTorch
  • 1 or more publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, ICRA, IROS, RSS, ACC, CDC, etc.)
Responsibilities
  • Develop deep learning-based approaches to improve and advance large language models (LLMs) and large multi-modal models
  • Design and implement machine learning techniques to adapt foundation models to downstream tasks of interest such as robotic manipulation and high-level task planning
  • Construct and curate datasets for large-scale machine learning, for learning from human preferences, and for specific domains of applications
  • Work closely with our research teams to build state-of-the-art robotics demonstrations of your research
Desired Qualifications
  • Experience with Docker, Kubernetes, cloud computing, or similar applications
  • Experience with data processing, logging, and visualization tools
  • Experience with MLOps (model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning)
  • Experience creating orchestration workflows with tools such as Airflow, Kubeflow, or AWS Step Functions
  • Experience with DevOps tools (e.g. CI/CD Pipelines, Infrastructure as Code, containers, Agile software development)
  • Experience implementing IoT solutions such as edge computing
  • Experience with big data batch and real time data processing (e.g. Hadoop, Spark , Presto, Kafka, Kinesis, Flink)
  • Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, ICRA, IROS, RSS, ACC, CDC, etc.)
  • Experience with parallel programming (e.g. CUDA)
  • These attributes are great to have but not required for our candidates. Candidates who lack these should not be discouraged from applying