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.
Machine Learning and State Estimation Intern
Conduct a comprehensive review of existing machine learning methods for state estimation and sensor fusion; develop and implement various algorithms based on the literature review and project requirements using simulated and real-world flight data; assess and compare the performance and computational overhead of the developed algorithms with classical baselines; document methodologies, results, and conclusions; actively participate in flight test sessions to gather real-world data and validate the effectiveness of the developed algorithms in operational conditions; contribute to real-time deployment.
AI Evaluation Engineer
Design and implement evaluation pipelines to measure the performance and reliability of AI models, develop automated testing frameworks to assess model outputs at scale, analyze model performance using both traditional statistical metrics and AI-specific evaluation methods, evaluate AI systems built on modern architectures such as LLM-based applications and Retrieval-Augmented Generation (RAG), identify potential issues related to accuracy, hallucinations, bias, safety, and model drift, conduct adversarial testing to uncover vulnerabilities and ensure safe model behavior, collaborate with engineering and AI teams to improve prompt design, model outputs, and system performance, monitor model performance in production, and help define best practices for AI evaluation and observability.
Machine Learning Engineer, Integrity
As a Machine Learning Engineer in OpenAI's Applied Group on the Integrity team, you will design and deploy advanced machine learning models that solve real-world problems, bringing OpenAI's research from concept to implementation and creating AI-driven applications with a direct impact. You will work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Responsibilities include implementing scalable data pipelines, optimizing models for performance and accuracy, ensuring they are production-ready, staying current with the latest developments in machine learning and AI, participating in code reviews, sharing knowledge, leading by example to maintain high-quality engineering practices, and monitoring and maintaining deployed models to ensure continued value delivery.
Machine Learning Developer (Freelance)
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 (numpy, pandas, scipy, sklearn), and document problem statements clearly while providing verified correct answers.
Machine Learning Developer (Freelance)
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 (numpy, pandas, scipy, sklearn). Document problem statements clearly and provide verified correct answers.
Freelance Machine Learning Engineer
As a Machine Learning expert at Mindrift, you will design original computational STEM problems that simulate real scientific workflows, create problems requiring Python programming to solve, ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes, develop problems that require non-trivial reasoning chains and creative problem-solving approaches, verify solutions using Python with standard libraries such as numpy, pandas, scipy, and sklearn, and document problem statements clearly while providing verified correct answers. You will collaborate on projects aimed at advancing GenAI models to address specialized questions and achieve complex reasoning skills.
Machine Learning Developer (Freelance)
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 (numpy, pandas, scipy, sklearn). Document problem statements clearly and provide verified correct answers.
Machine Learning Developer (Freelance)
As a Machine Learning expert on the Mindrift platform, your responsibilities typically include designing original computational STEM problems that simulate real scientific workflows, creating problems that require Python programming to solve, ensuring problems are computationally intensive and cannot be solved manually within reasonable timeframes (days or weeks), developing problems requiring non-trivial reasoning chains and creative problem-solving approaches, verifying solutions using Python with standard libraries such as numpy, pandas, scipy, and sklearn, and documenting problem statements clearly with verified correct answers.
Machine Learning Developer (Freelance)
As a Machine Learning expert on the Mindrift platform, your responsibilities may include designing original computational STEM problems that simulate real scientific workflows, creating problems that require Python programming to solve, ensuring problems are computationally intensive and cannot be solved manually within reasonable timeframes, developing problems that require non-trivial reasoning chains and creative problem-solving approaches, verifying solutions using Python with standard libraries such as numpy, pandas, scipy, and sklearn, and documenting problem statements clearly while providing verified correct answers.
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