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Principal Machine Learning Engineer, SecureAI
Principal ML Engineer on Okta's 'Okta Secures AI' team builds AI-driven authorization for autonomous agents: real-time LLM intent evaluation, threat inspection, and behavioral analysis embedded in API gateways and Cedar-based policy engines. Core stack: Python, LLMs/RAG/embeddings, AWS Bedrock/OpenAI/Anthropic, LangChain/LangGraph, MCP.
Software Engineer (Machine Learning, Technical Leadership) - Meta Business Agent
Meta is seeking experienced engineers to join Meta Business Agents, the org building AI agents and messaging platforms that connect businesses with the people who want to hear from them. Every day, millions of…
Senior AI/ML Test and Evaluation Engineer
Senior engineer who builds and runs benchmark and evaluation harnesses for AI models and agentic workflows, pairing automated metrics with structured human expert judgment to produce defensible reports for government stakeholders. Hands-on work in Python, PyTorch, and the Hugging Face ecosystem on an open-source toolchain.
Senior AI/ML Engineer
The Senior AI/ML Engineer will build and scale complex multi-agent AI systems and RAG architectures using Python, AWS, and modern generative AI frameworks. The role focuses on developing, fine-tuning, and deploying AI solutions within a financial infrastructure environment.
Hardware Machine Learning Engineer
Design and deploy ML models directly onto custom hardware, co-architecting solutions with traders and engineers while optimizing for latency and resource constraints.
Snr Machine Learning Engineer - Client facing - 12 months FTC
Senior Machine Learning Engineer in Xantura's client-facing Data & Analytics Consulting team, building and productionising predictive models (gradient boosting, NLP, LLM/RAG) and the SQL/data pipelines behind them, deploying into client environments and configuring the OneView platform. Hybrid role in London, 12-month FTC.
Ai Ml Engineer
We are hiring for " AIML Engineer " at Virtusa. Please share your updated CV along with below details ** Candidates with notice period more than 15 days need not apply * Total Experience - * Current CTC - * Expected…
ASIC Design Verification Engineer, Machine Learning
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML…
Machine Learning Engineer, Physical Sciences AI
Senior ML engineer builds and deploys scalable AI pipelines for materials, chemistry and physical sciences, using PyTorch, cloud infra and production-grade MLOps.
Senior / Staff Machine Learning Engineer, Applied AI
Senior/Staff ML engineer on LILA's Applied AI team, adapting the company's scientific AI models to real customer workflows: training and evaluating LLMs, building evaluation loops, debugging model behavior, and moving capabilities into production systems. Core stack: Python, PyTorch/JAX, distributed training frameworks (DeepSpeed, Ray), and agentic LLM systems.
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.
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.