Cresta - Senior Machine Learning Engineer
Requirements
• Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s or Ph.D. preferred. • 5–8+ years of industry experience building and deploying machine learning systems in production, including significant experience working with LLMs. • Strong expertise in NLP, Generative AI, transformer architectures, embeddings, and retrieval systems. • Proven experience designing and deploying Retrieval-Augmented Generation (RAG) systems in enterprise environments. • Experience building and evaluating complex agentic or multi-step LLM workflows. • Strong knowledge of modern ML frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure. • Demonstrated ability to optimize real-time ML systems for performance, scalability, and reliability. • Strong technical leadership skills, with the ability to influence cross-functional decisions and raise the engineering bar.
Responsibilities
• Lead the design and development of Cresta’s next-generation AI Agents and Agentic Assist systems, defining system architecture and core modeling approaches. • Architect intelligent, multi-step agent workflows that combine real-time guidance, knowledge retrieval, reasoning, summarization, and automated actions into cohesive production systems. • Design, deploy, and optimize LLM-powered systems, including Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestration, and domain-adapted models. • Improve reasoning, planning, and tool-use capabilities in real-world AI applications. • Develop evaluation strategies for complex, non-deterministic systems, including offline benchmarking, online experimentation, and LLM-as-a-judge methodologies. • Diagnose and mitigate real-world failure modes such as hallucinations, retrieval errors, tool misuse, prompt brittleness, and multi-step reasoning breakdowns. • Define and measure quality metrics (e.g., accuracy, faithfulness, task completion, latency, cost, robustness) to improve system reliability and performance. • Optimize AI systems for scalability, latency, security, and cost efficiency in production environments. • Collaborate cross-functionally with product, frontend, and backend teams to integrate AI capabilities seamlessly into Cresta’s platform. • Mentor engineers, contribute to technical strategy, and help shape the roadmap for Cresta’s AI systems.
Benefits
• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs • Paid parental leave to support you and your family • Monthly Health & Wellness allowance • Work from home office stipend to help you succeed in a remote environment • Lunch reimbursement for in-office employees • PTO: 3 weeks in Canada • Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.This posting will be used to fill a newly-created role. • We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to [email protected]
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