Anyware Robotics: Develops autonomous mobile robots for warehouse and logistics automation.
Current MS or PhD student in robotics or machine learning with robot learning experience, strong Python and ML framework skills, data debugging, and familiarity with ROS/robot sensors.
Output Biosciences: Builds generative AI models to decode and program biology.
PhD candidate in ML/CS/Computational Biology; strong deep learning background; Python proficient; experience with large datasets; publications in top venues; able to work 20+ hours/week for 12–24 weeks.
Rippling: Unified platform managing workforce HR, IT, and finance operations
Currently enrolled in an M.Sc. or Ph.D. in computer science or related field; strong backend programming skills (Python, PySpark, PyTorch); ML experience, LLM familiarity preferred; excellent communication and learning mindset.
Phonely: AI-powered voice platform for automated customer phone interactions.
Pursuing or recently completed degree in Computer Science or related field; experience with JavaScript/TypeScript and modern frontend frameworks; familiarity with Next.js; strong problem-solving and debugging skills; ability to work with customers and teammates; eager to learn quickly.
Bar Harbor or Ellsworth or Farmington or Sacramento or Augusta or Japan or China
$15-$31/hrOnsiteInternship
The Jackson Laboratory: Conducts genomic research and produces specialized laboratory mouse models.
Undergraduate degree expected; master’s or relevant experience desirable. Experience with statistical and machine learning methods, data mining, data curation, and computational neuroscience; strong communication skills.
Rippling: Unified platform managing workforce HR, IT, and finance operations
Currently enrolled in a Bachelor's or Master's in CS or related field; prior software engineering internship experience using Python; backend programming skills; strong communication and learning orientation.
Lunar Energy: Provides home battery systems and clean energy software.
Pursuing a degree in mechanical/electrical/industrial engineering or related field; strong organization; cross-functional coordination; proficient with Excel/Sheets/Jira/Smartsheet; eager to learn hardware development and NPI.
Astranis: Builds and operates small geostationary communications satellites.
Currently pursuing a B.S. in electrical or computer engineering; interest in power electronics and hardware development; ability to design, build, and test hardware; willingness to learn reliability analysis and DFMEA; coding ability for testing.
Dolby LaboratoriesNYSE: DLB: Develops audio and video signal processing and compression technologies.
PhD student in EE/CE or recent graduate; experience with video compression (H.265/HEVC, H.266/VVC), deep learning, Python/C/C++ programming, PyTorch, strong research and communication skills; available full-time Mon–Fri for 6 months starting Sept 21, 2026.
Serval: AI platform for automating IT and enterprise service workflows.
Currently pursuing a technical degree (graduation 2026–2028), strong CS fundamentals, familiarity with a backend language (Go/Java/Python), clear communication, and eagerness to learn in a startup environment.
Sacramento City Unified School District: Provides public education and support services to K-12 students.
5+ YOEBachelor's in child development or liberal studies, Administrative Services Credential or intern eligibility, 5+ years early childhood/elementary teaching experience, valid California driver\u0002s license, teaching credential or Children\u0002s Center Supervision Permit.
DNV: Provides global risk management, certification, and technical assurance services.
Currently pursuing or recently completed PhD in a relevant field; research experience in robotics, control theory, or deep learning; interest in AI assurance; strong written and verbal English; pre-employment drug and background screening.
femtoAI: Developing ultra-efficient edge AI accelerator chips and software.
2+ YOE2+ years in compilers or edge-AI; Python and/or C++; experience with MLIR/LLVM/TVM/XLA; graph Transformations; ML model internals; understanding of deep learning models; balance of correctness and performance.