Turing

Full-stack Engineer

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction.
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Principal Engineer

Operations

• Drive a Unified Product Strategy
• System Consolidation & Architecture
• Data Integrity & Governance
• Technical Program Management

Senior Director, Product & Data Operations

Robotics

• Help Launch Business Unit: a 0-to-1 opportunity to help build a new business unit within Turing.
• Define Industry Standards: Architect off-the-shelf datasets that will fuel the robotics ecosystem, setting the benchmark for Physical AI data quality.
• Own the Evaluation Loop: Lead the critical feedback loop that validates data quality, proving empirically how specific attributes drive model performance.
• Design "Off-the-Shelf" Solutions: Leverage your experience to define specifications for high-value dataset products (e.g., "The definitive bi-manual manipulation dataset for household objects"). You will dictate the requirements to our Sim, Teleop, and Motion Capture teams to ensure they capture the right data.
• Commercial Engagement: Partner with the Sales team as a key technical authority. You will translate customer pain points (e.g., "Our model fails on transparent objects") into well defined data solutions.
• Quality Definition: Move beyond basic QA (resolution, frame rate) to semantic QA. Define what "high-quality" data looks like for model learning.
• Build the "Eval" Loop: Establish workflows to train and fine-tune open-source Robotics Foundation Models (e.g., OpenVLA, Octo, RT-X) on our data. You will empirically prove that Turing’s data improves model performance.
• Agentic Gap Analysis: Develop automated workflows to analyze datasets for coverage gaps. Use this analysis to provide high-value insights to customers (e.g., "Your model is failing because your training distribution lacks diverse lighting conditions—here is the synthetic data to fix it").
• Benchmark-as-a-Service: Lead the development of virtual and physical benchmarking environments to test customer policies.
• The Optimization Loop: Build a full-cycle service where Turing: (1) Benchmarks a client's model, (2) Identifies performance gaps, (3) Translates gaps into data requirements, and (4) Delivers the data to close the loop.
• Establish a New Business Unit: Scale these capabilities into a dedicated "Benchmarking & Optimization" business unit. You will help build this new pillar, recruiting the team, defining the product solution, and driving the monetization strategy.

Robotics Engineer

AI Engineer

• Architect and lead the design of scalable data and AI platforms, ensuring performance, reliability, and security across distributed systems.
• Develop and deploy agentic AI solutions — autonomous or semi-autonomous systems capable of reasoning, decision-making, and adaptive task execution.
• Provide thought leadership in data architecture, analytics, and AI system design, shaping organizational AI strategies.
• Collaborate cross-functionally with data scientists, engineers, and product teams to deliver end-to-end intelligent systems.
• Evaluate and integrate cutting-edge tools such as Google Cloud Platform (GCP), Vertex AI, or LangChain-based frameworks for advanced reasoning capabilities.
• Mentor teams in emerging AI technologies, ensuring best practices in data management, model governance, and ethical AI deployment

AI Tech Lead

People Operations

• Support ongoing PX initiatives with scheduling, logistics, tracking, and documentation
• Maintain internal calendars and help manage event timelines and ownership
• Track key lifecycle moments (onboarding, anniversaries, birthdays, exits) and ensure timely delivery of employee touchpoints
• Draft and publish internal messages, event invites, reminders, and updates
• Assist in creating visually clean and on-brand slides, docs, and comms materials
• Keep PX resources up to date across platforms (e.g., Playbooks, Slack, PX Portal)
• Act as the PX team's on-the-ground representative for India-based events
• Coordinate logistics for meetups, offsites, gifting, and celebrations
• Be the face of PX at events — welcoming, facilitating, and engaging with employees to create a memorable experience
• Liaise with vendors (catering, venues, merchandise) and ensure smooth execution
• Work closely with the PX Manager and People Team on execution of key programs
• Help collect and analyze feedback from employees to inform improvements
• Proactively flag risks or blockers in logistics, delivery, or comms

Principal Engineer

Senior Director, Product & Data Operations

Robotics Engineer

AI Tech Lead

People Experience Associate