Job Summary Senior Machine Learning Engineer (Hybrid Remote). Opportunity to work with a senior team of engineers and data scientists using cutting‑edge technology to design, develop, and deploy advanced machine learning models. Salary: $65,000 - $100,000 per year. Responsibilities Collaborate with Engineering, Product, and Design to ensure ML features are optimized. Develop and deploy ML pipelines through building end‑to‑end solutions, from data exploration to model deployment. Utilize AWS for cloud‑based model deployment and Kubernetes for orchestrating and automating tasks. Lead advanced analysis to uncover insights and drive product decisions. Desired Skills & Experience BS or above in Computer Science, Statistics or a related technical field. 5+ years of experience in Machine Learning, with proven track record of bringing ideas to life from prototype to productized features. Strong proficiency in Python and hands‑on with advanced data analysis tools. Strong skills in data engineering and self‑sufficient in data pipelines for the AI workflow. Experience with AWS (or other cloud platforms) for model deployment. Comfortable designing and evaluating LLM‑driven workflows. Familiarity with retrieval pipelines and vector databases. Problem‑oriented mindset with strong cross‑disciplinary thinking and a bias toward simplicity and clarity in solving problems. Comfort working with remote teams, using GitHub, Slack, Notion, and Zoom. Proficiency in English with strong communication and collaboration skill. Bonus Points Experience with RAG architecture and context/state management for LLMs. Familiarity with LLM eval tools and human‑in‑the‑loop evaluation process. Experience with Outerbounds or similar ML orchestration platforms. Experience with Argo Flows for CI/CD. Experience with prompt management tool like Langfuse. Familiarity with Kubernetes for container orchestration. Background in healthcare, clinical workflows, or regulated domains. Equal Opportunity Employer Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Background Check & Privacy Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot’s Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI‑generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy. #J-18808-Ljbffr