16,819 Startups jobs
Open tech roles at startups.
Technical Program Manager, AISF
Technical Program Manager serving as the operational backbone for LILA Sciences' AISF (AI Science Factory) portfolio: building governance frameworks, aligning research, engineering, and product workstreams, tracking milestones and risks, and briefing leadership. Onsite in Cambridge, MA; $128k–$170k plus bonus and equity.
Research Product Manager, Post Training
Own the roadmap for LILA’s foundational AI models, translating research ambitions into measurable capabilities and production-ready releases.
Controls Engineer II, Sustaining Engineering
Maintains and improves automated lab equipment controls, including PLCs, SCADA, robotics, and instrumentation, to ensure reliability and uptime in a scientific automation environment.
Research Product Manager, Fine-tuning
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.
Director, Materials AISF Program Lead
Lead LILA’s Materials Science AISF program, defining strategy and execution plans to expand AI-driven experimental systems in synthesis, characterization, and electrochemistry.
Senior Software Engineer I/II, Back-end/Data, Robotics
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.
Senior Data Engineer, Bioinformatics, Cheminformatics, Materials
Builds ETL pipelines, data models, and reusable analysis functions for LILA's scientific data platform, turning raw lab instrument outputs into validated, analysis-ready datasets across biology, chemistry, and materials science. Core stack: Python, SQL/Postgres, and workflow orchestration (Flyte, Airflow, Prefect, Dagster, or Nextflow).
Senior Product Designer II / Staff Product Designer
Senior/staff product designer shaping end-to-end experiences for the Lila App — translating complex autonomous-lab and AI-native scientific workflows into intuitive software for scientists and lab operations users. Day to day: workflow design, prototyping, usability testing, and design-system work at an early-stage AI-for-science company in Cambridge, MA.
Machine Learning Scientist I / II, Protein Design
A machine learning scientist who designs protein-based therapeutic molecules on active biologics programs, building AI design workflows, reasoning/orchestration systems, and evaluation benchmarks that generalize across programs. Core work spans protein ML models, evaluation infrastructure, and high-throughput computational design.
Senior / Principal Chemist, AI Safety
A chemist on LILA Sciences' AI safety team maps chemical dual-use misuse risks from increasingly capable scientific AI — building safety strategy, evaluations, and mitigations while preserving beneficial chemistry. Requires deep chemistry expertise (PhD or equivalent) and dual-use risk assessment experience; base salary $148k–$208k USD.
Principal Machine Learning Engineer, Applied AI
A senior IC role adapting LILA's scientific AI models to customer workflows through post-training (SFT, RLHF-style methods like DPO/PPO/GRPO), building evaluation loops, and debugging production model behavior. Core stack is Python and PyTorch with deep LLM/multi-modal/agentic AI expertise.
Senior / Staff Machine Learning Engineer, Applied AI
Adapts LILA's frontier AI models to customer-specific scientific workflows: running post-training (SFT, DPO/PPO/GRPO), building evaluation loops, and integrating model behavior into end-to-end production products alongside AI research and software teams. Core stack is Python, PyTorch, and LLM/multi-modal/agentic AI systems.
Senior Engineer II, Robotics Mechanical Design
Own end-to-end mechanical design of custom mobile manipulators at LILA Sciences in Cambridge, MA — mocking up, CAD-modeling, and documenting robot-arm + AMR/AGV integrations (mounts, brackets, cable routing, mass/CG analysis) prepared for NVIDIA Isaac Sim simulation and physical builds. A hands-on mechanical/mechatronic design role, not robotics software.
Manager / Senior Manager, AI Safety Data and Evaluation Program
Leads AI safety data and evaluation programs at LILA Sciences: translating safety research briefs into executed expert-data, red-teaming, and evaluation campaigns, coordinating internal and external scientific contributors, and enforcing data-quality standards to produce the evidence base for safety decisions.
Staff / Principal Research Engineer, AI Safety Mitigations
Research engineer on LILA's AI safety team, building and testing safeguards that mitigate risks from increasingly capable closed-loop scientific AI — spanning model training, post-training, classifiers, monitoring, access controls, and runtime interventions. Works hands-on with frontier models, agents, and lab-connected workflows alongside science, evaluation, and platform teams.
Staff / Principal Security Engineer, AI Safety and Security
Staff/Principal Security Engineer leading AI safety-and-security work at LILA Sciences: threat-modeling AI systems for autonomous scientific discovery, running adversarial tests of defenses, and turning findings into implemented safeguards. Requires deep hands-on security expertise (architecture, offensive security, app/infra security, or IR) plus curiosity about AI/ML safety.
Staff Software Engineer, AI Safety
Builds the shared software behind LILA Sciences' AI Safety team: reusable services, evaluations and red-teaming tooling, data pipelines, and researcher-facing apps to reduce risks from scientific superintelligence. Core stack is Python backend engineering with APIs, databases, and execution pipelines.
Staff IT Systems Engineer, Endpoints
Owns the architecture and roadmap for endpoint management at LILA Sciences, covering macOS, Windows, Linux, mobile, and specialized research compute. Day-to-day is hands-on config-as-code MDM policy work, zero-touch provisioning, device trust/EDR integration, and building automation and tooling with Python/Bash/PowerShell, APIs, and CI/CD while mentoring engineers across IT and Security.
Principal Network Engineer
Senior hands-on IC owning the design, security, and scaling of LILA Sciences' multi-site network spanning offices, autonomous AI labs, and OT/robotics environments — driving SD-WAN/SASE (e.g. Cato), firewall-to-SASE migration, VLAN/segmentation design, monitoring, and insourcing work from MSPs.
Senior / Principal Computational Biologist, AI Safety
Conducts original computational biology research on LILA's AI safety team, studying how LLMs, specialized biological models, agents and automated labs change what is biologically feasible, and translating risk judgments into evaluations, safeguards and dual-use policy boundaries. Requires deep computational biology expertise and strong scientific programming skills.