Job Closed
This listing is no longer active.
Helping dentists achieve more by making the entire lab process digital — and effortless.
Senior Operations Associate – Machine Learning
Location
United States
Posted
96 days ago
Salary
$101.2K - $119K / year
Seniority
Senior
Job Description
Senior Operations Associate – Machine Learning
Dandy
• Own ML Data Collection & Incubation Programs • Define and scope complex operational challenges into clear, actionable workstreams with measurable success criteria • Plan and execute data collection programs that feed Dandy's highest-priority ML initiatives • Monitor project health, measure operational efficiency, and flag implementation risks • Synthesize updates into clear status reports that drive alignment and keep projects on track • Build ML Workforce Enablement Programs • Design and lead training programs that upskill our manufacturing and DDC workforce on ML-related tools, workflows, and expectations • Own the full cycle from needs assessment through delivery and iteration, and adjust quickly when something isn't working • Stand Up Model Testing Infrastructure • Build the operational framework for testing new ML models in a live workforce environment • Define success criteria, coordinate across Operations and Quality teams, and create the reporting that makes model performance visible to decision-makers • Drive Stakeholder Alignment • Develop and maintain detailed project plans to monitor progress against milestones and deliverables • Build coalitions of support across teams including ML, Operations, Quality, and People • Communicate clearly across multiple levels and cultural contexts
Job Requirements
- 2–4 years of experience in startups, corporate operations, consulting, or a similar environment where you've owned work end-to-end
- Data-driven: comfortable using SQL, Looker, or similar tools
- Strong program and project management skills, including experience using tools like Asana or Jira to plan and track activities
- The ability to influence a variety of stakeholders
- Clear, direct communicator who can navigate multiple cultural contexts with ease
- Self-starter with high ownership, sharp detail orientation, and the ability to drive clarity in ambiguous environments
- Willingness to travel domestically and internationally on short notice
- Bachelor's degree in a relevant field
Benefits
- Healthcare
- Dental
- Mental health support
- Parental planning resources
- Retirement savings options
- Generous paid time off
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
Senior Software Engineer – Machine Learning, Marketplace Dynamics
YelpLooking for a #FiveStarCareer? We know just the place!
• Identify and own challenging problems, form testable hypotheses, and drive significant business impact • Lead the design and analysis of experiments or development of causal and predictive models to test your ideas • Collaborate with product and engineering to affect changes in production systems and provide intelligence to other teams and communicate your conclusions to technical and non-technical audiences alike • Keep the team and our projects current on new developments in ML and statistics by reading papers and attending conferences and local events • Productionize and automate model pipelines within Python services
Senior Software Engineer – Machine Learning, Marketplace Dynamics
YelpLooking for a #FiveStarCareer? We know just the place!
• Identify and own challenging problems, form testable hypotheses, and drive significant business impact • Lead the design and analysis of experiments or development of causal and predictive models to test your ideas • Collaborate with product and engineering to affect changes in production systems and provide intelligence to other teams and communicate your conclusions to technical and non-technical audiences alike • Keep the team and our projects current on new developments in ML and statistics by reading papers and attending conferences and local events • Productionize and automate model pipelines within Python services
• Ship production LLM agents with tool use: orchestration (state, pause/resume, journey/mode routing, failure handling) • MCP or gateway-style tool integration (schemas, auth, idempotency, audit) • Customized evals • Build alongside internal team
• Design, build, and deploy AI agent workflows that enable measurable efficiencies across business functions • Implement orchestration patterns including single-agent and multi-agent systems with appropriate state management • Integrate AI capabilities with existing tools and platforms via APIs, plugins, and function calling • Define and enforce guardrails for agent behavior, capabilities, and permissions in partnership with product and security • Build reusable automation patterns and templates that can be adopted across teams • Work alongside our data platform team to enable AI-driven analytics and reporting tools • Implement monitoring, observability, and feedback loops for deployed AI workflows • Ensure responsible AI practices, including fairness, transparency, and risk mitigation • Evaluate and recommend AI tooling, frameworks, and model providers based on business needs and cost • Stay current on industry trends, emerging AI capabilities, and best practices in automation engineering • Mentor engineers on integrating AI into their development workflows



