Copy of Member of Technical Staff - ML Engineering
Deploy, maintain, and optimize production and research compute clusters. Design and implement scalable and efficient ML inference solutions. Develop dynamic and heterogeneous compute solutions for balancing research and production needs. Contribute to productizing model APIs for external use. Develop infrastructure observability and monitoring solutions.
Technical Director of AI Safety
The Technical Director of AI Safety is responsible for owning the technical strategy for AI Safety by determining research directions and building technologies that mitigate risks from alignment to societal harms. The role leads a high-performing R&D team through intentional hiring, mentorship, and cultivation of a culture defined by technical excellence and high output. It involves driving academic impact by guiding complex machine learning projects and securing top-tier publications to establish Faculty's reputation in the AI safety domain. The position shapes market-leading offerings for frontier labs and security institutes by translating cutting-edge R&D into practical safety solutions. The role oversees technical delivery of AI safety and security projects, ensuring scientific rigor and high-quality outputs across evaluations and red-teaming efforts. Additionally, the Technical Director will represent Faculty externally as a primary technical voice, delivering thought leadership and speaking at major global industry events. The role includes collaboration with business unit directors and commercial teams to align research investments with strategic growth and client needs, as well as the opportunity to hire and build a world-class AI safety technical team, design and lead an AI safety R&D program, build scaling work with Frontier Labs, and contribute to the international debate on AI safety including working with governments and other key bodies.
Automotive Engineering & Python Expert - Freelance AI Trainer
Contributors may design graduate- and industry-level automotive engineering problems grounded in real practice; evaluate AI-generated solutions for correctness, assumptions, and engineering logic; validate analytical or numerical results using Python (NumPy, SciPy, Pandas); improve AI reasoning to align with first principles and accepted engineering standards; and apply structured scoring criteria to assess multi-step problem solving.
Freelance Machine Learning Engineer
Design original computational STEM problems that simulate real scientific workflows. Create problems that require Python programming to solve. Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches. Verify solutions using Python with standard libraries such as numpy, pandas, scipy, and sklearn. Document problem statements clearly and provide verified correct answers.
AI Engineer
Build production AI systems by designing, developing, and deploying robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full-stack AI products. Work directly with customers by partnering closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions. Lead system architecture by designing scalable architectures for production AI systems that balance performance, reliability, cost, and maintainability. Develop internal platform infrastructure by contributing to Distillery, the internal LLM application platform, building reusable infrastructure, tools, and workflows used across customer deployments. Evaluate AI systems rigorously by developing evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety. Ship production-grade systems ensuring they meet high standards for observability, reliability, security, and maintainability. Raise the engineering bar by improving development workflows, evaluation practices, and deployment strategies as the AI platform evolves.
Forward Deployed Engineer - Strategist - Europe
As a Forward Deployed Engineer Strategist, you will work with Engineers, Product Designers, and other Strategists to deploy voice AI technology to solve customer problems. Responsibilities include meeting with strategic customers to understand their audio and voice AI needs, identifying relevant use cases through engagement with customer problems, designing and architecting custom integrations, guiding customers on best practices for AI model implementation, presenting results and proposals to technical and executive audiences, collaborating with Research and Product teams to incorporate field insights, building and delivering demos of AI technology, scoping potential applications in new industries, taking full ownership of major projects for strategic partners, and working daily with customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies.
Statistics Expert (Python) - Freelance AI Trainer
Contributors may design rigorous statistics problems reflecting professional practice; evaluate AI solutions for correctness, assumptions, and constraints; validate calculations or simulations using Python libraries such as NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn; improve AI reasoning to align with industry-standard logic; and apply structured scoring criteria to multi-step problems.
Freelance AI Evaluation Engineer (Python/Full-Stack)
Create challenging coding test cases that push AI coding systems to their limits by reviewing and refining realistic coding tasks based on provided production codebases with realistic scope, requirements, and information sources. Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks. Craft "fair but hard" challenges where the AI has all the context it needs but must work for it, involving information scattered across files and external sources and requiring complex reasoning. Analyze AI failures to understand areas where the model struggles versus what it masters. Iterate based on feedback from expert QA reviewers who score the work on seven quality criteria.
Freelance AI Evaluation Engineer (Python/Full-Stack)
Create challenging coding test cases to push AI coding systems to their limits by reviewing and refining realistic coding tasks based on provided production codebases with realistic scope, requirements, and information sources. Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases. Craft challenges that are fair but hard, where the AI has all the context it needs, requiring complex reasoning with information scattered across files and external sources. Analyze AI failures to understand the model's struggles and strengths. Iterate based on feedback from expert QA reviewers who score work on seven quality criteria.
Forward Deployed Engineer
The Forward Deployed Engineer is responsible for working closely with customers from onboarding through ongoing usage to help integrate and optimize AI solutions. They build new features, MVPs, and scalable solutions that impact customer outcomes, utilizing full-stack development skills in React, TypeScript, Node.js, and Python. They design, implement, and iterate on AI/ML applications including LLM prompting, tuning of voices, and transcribers. The role includes managing APIs and integrations with third-party systems to ensure seamless customer functionality. Collaboration with Product, Engineering, and Customer Success teams is essential to deliver tailored solutions. The engineer is expected to continuously iterate and improve AI solutions based on customer feedback and evolving requirements, while prioritizing and managing multiple projects under tight deadlines and maintaining high-quality results.
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