Senior Machine Learning Engineer
Upload My Resume
Drop here or click to browse · PDF, DOCX, DOC, RTF, TXT
Requirements
• Orientation toward customer impact. You measure your work by whether it solves real problems, not by technical sophistication alone • 5+ years of experience building and maintaining ML systems in production • Track record of shipping ML systems where reliability and correctness were non-negotiable, not demo-quality or research-only work • Command of machine learning fundamentals and modern deep learning frameworks such as PyTorch or JAX • Strong skills in latency and cost optimization at scale, including efficient inference, serving optimization, and resource-aware model deployment • Strong programming skills in Python, with experience in at least one of C++, Rust, or Go • Comfort operating on a small team with minimal process, high ownership, and significant ambiguity • Demonstrated experience deploying ML solutions in real production environments serving end users or customers • Experience with RAG pipelines, vector databases, or LLM orchestration frameworks such as LangChain or LlamaIndex • Prior work with third-party model APIs such as OpenAI or Anthropic at scale • Experience building or deploying custom agents in common agent frameworks • Experience in regulated or high-consequence industries such as finance, healthcare, defense, or critical infrastructure • Prior early-stage or small-team experience where you owned architectural and technical decisions end-to-end • “Friends of Rational Dynamics” Candidate Referral Program • If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 to $15,000 if your referred candidate is successfully hired and employed by Rational Dynamics, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Rational Dynamics Referral Bonus Program.
Responsibilities
• Own, extend, and improve production ML systems: training pipelines, evaluation frameworks, model serving infrastructure, and monitoring. Focus on delivering reliable capability to customers • Optimize models for latency, cost, and reliability with a bias toward correctness in environments where errors are not recoverable • Translate research experiments into production-grade capability that solves real customer problems, as an embedded member of the research & ML team • Design and maintain evaluation and testing infrastructure to enable fast, high quality research and deployment to enable Rational Dynamics to move quickly, and deliver a high quality product with confidence • Integrate third-party model APIs and LLM orchestration frameworks into the platform • Support the deployment of agents into complex, high-stakes enterprise environments • Continuously improve system performance through disciplined benchmarking and iteration
Benefits
• $215K – $275K • Offers Equity • Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as company equity and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • Add a cover letter or any additional information you'd like to share
Similar Jobs
No credit card. Takes 10 seconds.