Note: The job is a remote job and is open to candidates in USA. Cedar is a healthcare technology company focused on making healthcare more affordable and accessible through data science, personalized product design, and improved patient financial experiences. The Software Engineering Manager will lead the development and end-to-end ownership of machine learning systems powering Cedar Pay's Personalization Engine, combining hands-on ML engineering with people management. The role includes building scalable MLOps and modeling infrastructure, optimizing feedback loops, and partnering cross-functionally with Product and Design.
Responsibilities
- Serve as key DRI (Directly Responsible Individual) for the ML System that powers the Personalization Engine. You will own the machine learning lifecycle end-to-end, ensuring system reliability, platform scalability, and model effectiveness, in partnership with the engineers on the team
- Lead and execute engineering work ranging from high-performance MLOps (feature stores, pipelines for model deployment, inference, and monitoring) to sophisticated ML modeling (can include training ensemble models, reinforcement learning, multi-armed bandits, or more), while employing guardrails for compliance and fairness. You will lead by example by making hands-on contributions, and also by guiding and empowering the two ML engineers on your team
- Act as a force-multiplier for the Personalization Foundations squad. You will conduct rigorous code and design reviews, elevating the bar across the team, contributing to a culture that is committed to technical excellence and product impact. You will serve as direct manager for the machine learning engineers on the squad, mentoring and coaching them to support their professional growth
- With a deep understanding of software engineering principles, you build robust, production-grade systems that can handle the scale of millions of healthcare transactions, while also enabling the ability to rapidly operationalize, iterate on, and improve ML models and approaches as we collect data and generate new insights. You understand that the first approach is never perfect, and that learning is a continuous process; you focus on building for the validated present rather than over-engineering for an unproven future
- Using your combined skillset in data engineering and ML model design, you will improve and expand upon the feedback loop that captures patient reactions to real-time decisions, ensuring that our models learn autonomously and adapt to changing economic and healthcare landscapes
- Partner with Product and Design to translate ambiguous patient journey touchpoints into concrete ML problems. You will help to define the "surface area" of where and how machine learning can provide the most leverage within the Cedar Pay ecosystem
Skills
- You have 6+ years of professional experience in machine learning engineering, where you have designed, built, and deployed effective ML-powered personalization systems or recommendation engines at scale for consumer-facing products (e.g., fintech, e-commerce, social media, etc.)
- You bring technical excellence as you contribute hands-on across the full ML lifecycle-building data pipelines for feature engineering, training the core models, and enhancing the MLOps infrastructure required to serve and monitor these insights at scale
- You have 1+ years of experience managing ML engineers and scientists, and you have led a team to execute on a technical roadmap, from ideation to production
- Although we prefer candidates who have previous management experience, candidates with experience in an IC Tech Lead ML role where they had informal or dotted-line management responsibilities will still be considered (and for these candidates, we can craft a tailored growth plan into a formal management role at Cedar)
- You have experience collaborating closely with product leaders and software engineers, understanding that ML systems don't work in isolation but only in the context of a larger software product
- You go beyond training models or engineering systems-you have an inclination to dive into the data to understand the "why."
- You can articulate how to formulate a business problem as a supervised, unsupervised, or reinforcement learning task
- You possess the judgment to determine when the incremental benefits of a model justify the cost of building and operating it
- You are comfortable championing simpler, non-ML solutions when they offer a higher return on investment for the business
- The idea of applying your technical skillset to improve the healthcare financial experience is something that excites and inspires you
- You have built and integrated effective Generative AI features into a personalization system, or you have designed tools, components and modules that help enable the development of safe, high-performance GenAI features
- If your tech leadership skillset crosses over from machine learning engineering to product engineering, you will thrive as a leader in this cross-functional team
- Expertise in both Python and SQL is highly preferred
Benefits
- This role is equity eligible
- This role offers a competitive benefits and wellness package
- Most roles have flexibility to work from home or in the office, depending on what works best for you
- For exempt employees: Unlimited PTO for vacation, sick and mental health days-we encourage everyone to take at least 20 days of vacation per year to ensure dedicated time to spend with loved ones, explore, rest and recharge
- 16 weeks paid parental leave with health benefits for all parents, plus flexible re-entry schedules for returning to work
- Diversity initiatives that encourage Cedarians to bring their whole selves to work, including three employee resource groups: be@cedar (for BIPOC-identifying Cedarians and their allies), Pridecones (for LGBTQIA+ Cedarians and their allies) and Cedar Women+ (for female-identifying Cedarians)
- Equity (for qualifying roles)
- Health benefits, including fertility & adoption assistance, that start on the first of the month following your start date (or on your start date if your start date coincides with the first of the month)
- Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensation
- Access to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources to help you grow both professionally and personally
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