Tech Lead Manager, Machine Learning

Job not on LinkedIn

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $195.5k - $247k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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This company has sponsored H1B visas in the past.

👻 Ghost score 24%

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Cedar

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🏠 Real Estate

💸 Finance

💳 Fintech

Real Estate • Finance • Fintech

Cedar is a technology platform and investor in land that purchases the land beneath homes to reduce upfront costs for homebuyers through a leasehold model, allowing buyers to own the structures while leasing the land and offering an option to buy the land later. The company partners with lenders and real estate agents, provides calculators and tools to show savings, and serves major U. S. markets to make homeownership more affordable by lowering down payments and monthly mortgage payments, improving mortgage approval odds, and offering stable, transparent ground rent with options to sell, transfer, or recombine the land and home.

📋 Description

• Lead development of machine learning systems underlying Cedar Pay’s Personalization Engine • Own the ML system and machine learning lifecycle end-to-end, including reliability, scalability, and model effectiveness • Lead hands-on MLOps work including feature stores, model deployment, inference, and monitoring pipelines • Lead sophisticated ML modeling, potentially including ensemble models, reinforcement learning, and multi-armed bandits • Implement compliance and fairness guardrails • Make hands-on technical contributions while guiding and empowering two ML engineers • Conduct code and design reviews and elevate technical excellence • Directly manage, mentor, and coach machine learning engineers • Build production-grade systems capable of handling millions of healthcare transactions • Rapidly operationalize, iterate on, and improve ML models and approaches • Improve and expand feedback loops capturing patient reactions to real-time decisions • Enable models to learn autonomously and adapt to changing economic and healthcare landscapes • Partner with Product and Design to translate patient journey touchpoints into concrete ML problems • Define where machine learning can provide leverage within the Cedar Pay ecosystem

🎯 Requirements

• 6+ years of professional experience in machine learning engineering • Experience designing, building, and deploying ML-powered personalization systems or recommendation engines at scale for consumer-facing products • Hands-on experience across the full ML lifecycle, including data pipelines, feature engineering, core model training, and MLOps infrastructure • Expertise in Python and SQL highly preferred • 1+ years of experience managing ML engineers and scientists • Experience leading a team through a technical roadmap from ideation to production • Candidates with an IC Tech Lead ML background and informal or dotted-line management responsibilities may be considered • Experience collaborating with product leaders and software engineers • Ability to formulate business problems as supervised, unsupervised, or reinforcement learning tasks • Judgment to evaluate model benefits against development and operating costs • Willingness to champion simpler non-ML solutions when they provide higher ROI • Passion for applying machine learning to improve the healthcare financial experience

🏖️ Benefits

• Equity eligibility • Competitive benefits and wellness package • Flexibility to work from home or in the office • Unlimited PTO for vacation, sick, and mental health days • Encouraged minimum of 20 vacation days per year • 16 weeks paid parental leave with health benefits for all parents • Flexible re-entry schedules for returning to work • Competitive pay and health benefits • Fertility and adoption assistance • 401(k) matching: 100% of contributions up to 3% of annual compensation • Hands-on mentorship • Employee and management coaching • Team discretionary budget for learning and development resources • Diversity initiatives and employee resource groups

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