Research, design, and train foundation models for robotics; align text-based reasoning with low-level control policies; evaluate zero-shot generalization; run experiments; integrate models into robotic systems and present findings externally.
We are seeking an innovative and experienced Embodied AI Researcher, focusing on the development and application of foundation models in robotics. The successful candidate will contribute to cutting-edge research, designing models and experiments that advance the field of robotics through deep learning and zero-shot generalization.
Responsibilities:
- Train foundation models for robotics, utilizing architectures similar to RT-X.
- Align text-based reasoning processes with low-level robotic control policies.
- Design and conduct experiments to evaluate zero-shot generalization in robotic systems.
- Collaborate with interdisciplinary teams to integrate AI models into practical robotic applications.
- Document and present research findings at internal and external conferences.
Qualifications:
- PhD or equivalent research experience in Deep Learning and Robotics.
- Proven track record of publications in top-tier conferences such as CoRL, ICRA, and NeurIPS.
- Practical experience with imitation learning and behavior cloning techniques.
- Strong programming skills in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
Similar Jobs
Fintech • Financial Services
Conduct manual penetration testing, secure code reviews, and SAST triage across web applications, APIs, and AWS infrastructure. Develop AI-assisted security tooling, define testing approaches for LLM applications and agentic systems, and review AI-generated software before production. Communicate vulnerabilities, risks, and remediation priorities to engineering teams while improving secure SDLC practices.
Top Skills:
Ai AgentsAWSGoLlmsPythonRubySastTypescript
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Build and operate GRC data pipelines, integrations, policy-as-code, continuous control monitoring, evidence automation, and agentic AI workflows. Normalize security data from diverse systems, create auditable evaluation harnesses, govern AI systems, and define technical direction across teams. Partner with security governance, compliance, and engineering groups to transform manual governance processes into scalable products.
Top Skills:
AWSBuildkiteCi/CdClaudeGCPGoGrpcHTTPJavaJSONKotlinKubernetesLlm ApisModel Context ProtocolProtocol BuffersPythonSnowflakeSQLTerraform
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead Block’s global tax planning and controversy agenda, including international and U.S. tax strategy, transfer pricing, M&A taxation, legal-entity structuring, tax audits, examinations, disputes, and transaction negotiations. Advise senior leadership on tax implications, partner with Legal, Treasury, Corporate Development, and finance teams, monitor legislative developments, and ensure tax positions are reflected in reporting and compliance. Build high-performing teams and represent Block before domestic and foreign tax authorities.
Top Skills:
AnalyticsArtificial IntelligenceTax ModelingTax TechnologyTransfer Pricing
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
