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Develops embedded firmware for STM32-based microcontrollers to control hardware like thermostabilization units, lasers, and power management in quantum computing accelerators.
Senior Data Engineer builds and maintains scalable cloud-native data pipelines and platform tooling (e.g., Airflow, Terraform) to power Ocado’s automated grocery fulfillment and AI-driven analytics.
The Senior Solutions Engineer will act as a technical advisor to help customers solve complex data challenges using the Databricks Data Intelligence Platform. The role involves collaborating with sales teams to demonstrate technical value, building reference architectures, and engaging with the technical community.
The Product Specialist will act as a technical expert and bridge between product teams and EMEA field engineering to drive the adoption of Gen AI and machine learning solutions on the Databricks Data Intelligence Platform. The role involves providing thought leadership, supporting complex customer use-cases, and influencing product strategy through hands-on technical guidance.
A Delivery Solutions Architect at Databricks bridges technical and commercial roles to accelerate Databricks Platform adoption for customers. You collaborate with sales/engineering teams, lead post-sale technical strategies, and ensure complex customer workloads are successfully implemented, optimized, and aligned with business outcomes.
As a Sr. Solutions Engineer at Databricks, you lead technical customer engagements, design solutions using the Databricks platform, and demonstrate its capabilities to drive adoption, working with data teams and architects.
The Senior Solutions Architect acts as a technical leader for complex customer engagements, driving platform adoption and AI strategy for financial services clients. The role involves deep technical architecture work, executive relationship management, and mentoring junior staff using the Databricks Data + AI platform.
Owns fine-tuning roadmap for Lila’s AI models, prioritizing scientific domains and commercial needs, defining training data, evals, and release criteria to ship model variants.
Sell LILA’s AI-driven autonomous lab platform to Fortune 500 chemicals and energy firms, translating complex R&D needs into enterprise contracts while shaping the GTM playbook.
Build back-end and data systems that schedule autonomous lab work, model digital twins, and turn raw experimental output into trustworthy, queryable data using Python, Flyte, Temporal, PostgreSQL, and AWS EKS.
Own the Physical AI platform roadmap, coordinate cross-team dependencies, and drive reliability/scalability programs for autonomous lab infrastructure at a scientific AI startup.
Builds and owns automated test suites for autonomous lab robotics, integrating Python-based CI/CD with hardware-in-the-loop and UI testing to ensure reliable software-hardware interactions.
Chief of Staff to the CFO at a Cambridge-based AI company building Scientific Superintelligence™, partnering across finance, operations, and strategy to drive executive priorities and cross-functional execution.
Chief of Staff to the CEO at a Cambridge-based AI company building a scientific superintelligence platform to accelerate discovery in life, chemistry, and materials science.
Builds and maintains operational infrastructure for AI Science Factories, coordinating deployment workflows, lifecycle systems, and cross-functional standards to scale autonomous scientific discovery platforms.
Lead enterprise sales for an AI-driven drug discovery platform, managing top pharma accounts and expanding into biotech by translating complex scientific capabilities into signed contracts.
Designs and runs GPU-powered infrastructure for serving machine learning models at scale, optimizing low-latency inference on Kubernetes and AWS accelerators.
LILA Sciences is hiring a Senior Director of Data Platform Engineering to lead a team of 30-40 engineers in building a scalable, self-service data infrastructure for AI/ML and scientific research. The role involves defining technical strategy, managing data lakehouse architectures, and supporting high-performance ML workloads using technologies like Python, Kafka, Flink, and cloud-native tools.
Lead architecture and development of an AI-driven scientific platform that integrates lab workflows, data capture, and analytics, using TypeScript, React, Python, and modern cloud infrastructure.
Forward Deployed Engineer embedding with biotech and science teams at LILA Sciences to rapidly build and deploy AI-fueled solutions—real-time data pipelines, agentic scientific workflows, and domain-specific tooling—using full-stack development and scientific computing libraries.
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