Support the Data Processing & Analytics department as a Digital‑Twin Spacecraft Engineer intern, contributing to digital engineering solutions for space missions.
Compensation
Attractive salary and work-life balance with a 35-hour week (flexitime).
Responsibilities
Support use case for integrating CAD data and mechanical engineering processes into the overall space systems engineering knowledge base in Digital‑Twin platform
Understand user needs and define building blocks to build and evaluate models
Prepare knowledge base by collecting data sources and implementing pipelines
Process and integrate mechanical engineering data into artefacts from thermal and functional engineering domains
Implement dashboards, user interfaces and prompts for presentation
Requirements
Enrolled full‑time student in aerospace engineering, systems engineering, data science, artificial intelligence, computer science, software engineering or equivalent
Internship focused on AI research in recursive self‑improvement and agentic machine learning at Meta’s Monetization Ranking & AI Foundations team.
Locations (2)
Sunnyvale, California, United States
Menlo Park, California, United States
Responsibilities
Conduct state‑of‑the‑art research on recursive self‑improvement, autoresearch, and self‑improving AI agents
Design and evaluate agents that form hypotheses, use tools, run experiments, analyze outcomes, and learn from prior research trajectories
Develop methods to improve the underlying LLM through reinforcement‑learning post‑training and/or optimize the surrounding harness, including prompts, tools, memory, retrieval, and orchestration
Build reliable evaluation and reward signals for long‑running, expensive ML experiments, including safeguards against reward hacking and regressions
Study whether gains compound across multiple self‑improvement rounds and rigorously attribute improvements to model learning versus harness changes
Machine Learning Engineer to drive Persona’s large-scale ML infrastructure and facilitate the robot learning effort.
Compensation
We offer competitive compensation, a performance-based bonus, 100% employer covered medical benefits for most healthcare plans, early-stage equity, competitive PTO, and company-wide paid winter break between December 24th and January 2nd.
Responsibilities
Contribute to Persona’s large-scale ML software stack across data, training, and evaluation.
Design and implement the ML software infrastructure with thoughtful abstraction and scalability.
Work with the ML team to craft and execute a comprehensive plan for the development of machine learning models.
Develop comprehensive test suites to ensure correct and performant execution of the ML pipelines.
Leverage cloud platforms for flexible compute capacity, data management, and task automation.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Lead the development and implementation of AI models to address complex challenges.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Locations (2)
Coimbatore, Tamil Nadu, India
Bengaluru, Karnataka, India
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with stakeholders to understand requirements and translate them into technical solutions.
Continuously research and evaluate emerging AI technologies to enhance project outcomes.
Develop applications and systems that utilize AI tools, cloud AI services, and on-prem pipelines with production-ready quality, including generative AI models.
Locations (2)
Pune, Maharashtra, India
Bengaluru, Karnataka, India
Responsibilities
Design and build advanced AI applications
Integrate cloud-based AI services or on-premises pipelines
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Applies GenAI models as part of the solution.
Locations (2)
Indore, Madhya Pradesh, India
Bengaluru, Karnataka, India
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with team members to enhance AI application performance and reliability.
Assist in documenting technical processes and best practices for knowledge sharing.
Requirements
15 years full time education
Nice to have: GenAI models
Nice to have: deep learning
Nice to have: neural networks
Nice to have: chatbots
Skills
Requirements
Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, or related technical fields
Research Scientist Intern, AI Core Machine Learning (PhD)Meta · Sunnyvale, US+1 more
Robotics Machine Learning EngineerPersona AI Inc · Houston, US