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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.
Senior / Principal Materials Scientist, AI Safety
LILA Sciences is hiring a Senior/Principal Materials Scientist for its AI safety team to map dual-use and misuse risks from increasingly capable scientific AI systems. Day to day: assessing materials-science threat landscapes, translating risk judgments into safeguards and policy boundaries, and collaborating across science, engineering, and policy.
Data Scientist - Deep Learning Forecasting
The Data Scientist builds and deploys econometric and machine‑learning models for demand forecasting, collaborating with product, data engineering and MLOps teams, using Python, PyTorch/TensorFlow and time‑series deep‑learning techniques.
Senior ML Engineer
Senior ML Engineer at Sword Health builds agentic LLM systems for AI-driven clinical care, owning ML projects end-to-end from exploration through production. Focus on evaluation harnesses, retrieval, prompting, and fine-tuning. Fully remote within Europe; healthcare domain.
Data Analyst, Part-Time AI Data Review - Remote (United States)
Part-time, fully remote AI data review work: check business information against criteria, handle sensitive/PII documents with safeguards, flag inconsistencies, and write clear findings and recommendations. Pays $31–$60/hour as an independent contractor; no prior AI training experience needed.
(Senior) AI Engineer (m/f/d)
As a (Senior) AI Engineer at eigenblue in Munich, you build and deploy AI solutions (LLM and non-LLM) that automate physical R&D and system design in mechatronics and robotics. Day to day you implement RAG, multi-agent and fine-tuning pipelines and run production MLOps on cloud platforms using Docker, Kubernetes, and FastAPI.
Senior Automation Engineer (PLC / IoT)
Senior engineer bridging industrial machines/PLC data with IT systems: integrating production data into MES/CMMS and OEE monitoring, building APIs, integration services and data flows with Python or C#/.NET, SQL and REST. B2B contract, hybrid from Warsaw with occasional production-plant visits.
Staff Security Engineer
Designs and deploys AI security controls for Veeam’s multi-cloud SaaS platform, focusing on LLM input/output safeguards, vulnerability reduction, and threat modeling for AI tools. Shapes internal AI security practices and integrates LLM-driven security into CI/CD pipelines.
GenAI Security Researcher
Hands-on adversarial researcher who attacks frontier generative AI models and agents to find jailbreaks, prompt-injection vectors and guardrail bypasses, then turns findings into attack datasets and evaluations. Combines classic offensive security/red-teaming skills with LLM internals knowledge and Python-based tooling.