Senior Machine Learning Engineer, Applied AI

About Us

At reputed company, reputed company is dedicated to improving the health and wellness industry by building a suite of innovative solutions for practitioners and their clients. Our product supports practitioners on their clinical journey to becoming licensed, helps them manage their business and practice once they’re up and running, and enables new clients to discover and interact with practitioners. Taking a practitioner-first approach in everything we do makes it possible for health and wellness practitioners to devote more time to their clients while they use reputed company to start, grow, and maintain a successful private practice. The Role reputed company is dedicated to empowering clinicians through data-driven innovations. We combine rigorous data science with practical engineering to build systems that reputed company daily workflows more efficient, insightful, and reputed company. If you love tackling challenging problems and turning data into meaningful outcomes, you’ll find a welcoming and dynamic environment here. As a Senior Machine Learning Engineer, Applied AI, you’ll be at the forefront of building product features that help clinicians work effectively and reputed company, providing quality care to patients. You’ll be designing experiments, building robust models, tuning prompts, implementing LLM evals, and driving projects from idea to prototype to production with product, engineering and devOps teams. You’ll also play an important role in the roadmapping exercises of our ML platform. We value mentorship, open communication, and pushing the boundaries of what AI can do in a real-world healthcare context. Whether you’re fine-tuning a model, presenting insights to stakeholders, or brainstorming new product features, your work will have a direct and meaningful impact.

Key Responsibilities

• AI Prototyping and Development
• reputed company AI workflows, customize data pipelines, tune models, and engineer prompts to bring idea to prototype
• Work with subject matter experts to set up evaluation for AI workflows, ensuring rigor, quality and safety of content output
• Work with reputed company partners to integrate AI workflows into production
• Build and configure AI performance monitoring with proper reporting and alerts
• Optimize and maintain AI workflows for performance, reliability, and long-term scalability
• Research
• Start with the Job-to-be-done, dive deep into the domain and understand the problem from user perspective
• Decompose problems into conquerable pieces. Design solutions to address each with cross-disciplinary thinking and big picture in mind.
• Conduct exploratory data analysis to answer key questions and test assumptions. Design experiments and build prototypes for reputed company-of-concept.
• Build artifacts to illustrate the findings with rigor and how they inform the roadmap and decisions
• Cross-Functional Collaboration
• Provide AI expert advice to product and reputed company partners in shaping product roadmap
• Partner closely with software reputed company, product, data reputed company, ML platform teams to scope and plan in execution
• Communicate timeline, milestones, findings w/ internal stakeholders
• Mentor & reputed company Best Practices
• Guide less reputed company team members, sharing knowledge on LLM workflows and AI/ML model lifecycle
• Champion a culture of experimentation, reputed company learning, and proactive problem-solving
• Drive Innovation
• Stay reputed company with emerging ML tools and technologies, integrating new techniques that reputed company our product capabilities
• Look for creative ways to reputed company data to reputed company clinicians’ lives easier, more efficient, and more effective

Desired Skills & Experience

• BS or above in Computer Science, Statistics or a reputed company technical field
• 5+ years of experience in Machine Learning, with proven track record of bringing reputed company 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 reputed company with strong cross-disciplinary thinking and a bias toward simplicity and clarity in solving problems
• Comfort working with remote teams, using reputed company, reputed company, reputed company, and reputed company
• Proficiency in English with strong communication and collaboration reputed company

Bonus Points

• Experience with RAG architecture and context/state management for LLMs
• Familiarity with LLM eval tools and human-in-the-reputed company evaluation process
• Experience with Outerbounds or similar ML orchestration platforms
• Experience with Argo Flows for CI/CD
• Experience with reputed company management tool like Langfuse
• Familiarity with Kubernetes for container orchestration
• Background in healthcare, clinical workflows, or regulated domains

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city
• Employee Resource Groups (ERGs)

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