Lead AI/ML Engineer, Sleep Chat
7 days ago
There's nothing like a great night's sleep—the cozy, wrapped-up-in-a-heavy-blanket kind of sleep. The fire-crackling, curtains-drawn, DO NOT DISTURB kind of sleep. You know, the good stuff.
But here's the thing: while 85% of people agree sleep is the key to their well-being, more than half are unsatisfied with their own. Whether it's stress, interruptions, work, or little ones waking in the night, so many people need help getting truly restorative rest.
That's where we come in. At Hatch, we're on a mission to help people build better sleep habits—so they can feel more focused, energized, and present in their lives. We've designed best-in-class smart sleep devices, paired with science-backed sleep content, to help people unwind nightly, sleep deeply, and wake gently. More than 5 million sleepers of all ages have made space for rest with Hatch, with our baby products in 1 in 3 nurseries and our adult product, Restore, taking over nightstands (and TikTok) worldwide.
The Challenge
We're building an AI-powered sleep support chat that scales Hatch's sleep expertise to thousands of parents simultaneously. This isn't a wrapper around ChatGPT—it's a production system that needs to understand complex sleep scenarios, align with Hatch's sleep philosophy, handle multi-turn conversations about routines/alarms/cues, and integrate with our IoT device ecosystem.
You'll architect and build the NLP pipeline from first principles while coding alongside the team. This is hands-on technical work driving a launch that's critical to our business.
What You'll DoWeek 1:
- Audit existing AWS Lambda prototype and identify technical gaps
- Review Hatch's sleep content library, device APIs, and customer conversation patterns
- Ship initial prompt improvements and establish baseline metrics for response quality
Within 3 Months:
- Own the build-out delivering Phase 2 of AI Sleep Chat for Q2 2026 launch
- Build evaluation system for measuring response accuracy against Hatch's sleep philosophy
- Partner with sleep consultants to tune AI responses and establish guardrails
- Instrument logging/monitoring for intent recognition, response quality, and conversation outcomes
Within 6 Months:
- Lead Natural Language Interface project: translate voice/text commands into device API calls
- Design and implement multi-agent architecture for command processing pipeline (intent → parameters → CMS lookup → device control)
- Build routine creation wizard using LLM-powered recommendations
- Establish AI/ML infrastructure patterns for Hatch (model evaluation, fine-tuning, deployment)
Technical Depth:
- 7+ years Python development, 2+ years building production NLP(natural language processing)/LLM systems
- Expert with LangChain, prompt engineering, and orchestrating multi-agent LLM workflows
- Experience with Claude/GPT-4 APIs, AWS Bedrock, or similar LLM platforms
- Proven track record shipping conversational AI products that handled real customer queries at scale
AI/ML Systems:
- Build evaluation frameworks for LLM output quality
- Experience fine-tuning models or implementing RAG systems for domain-specific knowledge
- Worked with intent classification, entity extraction, and multi-turn dialogue management
- Know when to use off-the-shelf models vs. custom training (and can explain the tradeoffs)
Production Engineering:
- Debug issues across LLM→API→device boundaries in production
- Experience with async Python, Lambda/serverless architectures, and real-time processing
- Built monitoring/observability for AI systems (hallucination detection, response quality degradation)
- Shipped features handling ambiguous requirements under aggressive timelines
Domain Translation:
- Can interview domain experts (sleep consultants) and translate knowledge into system constraints
- Experience working with non-technical stakeholders to define AI behavior and guardrails
- Comfortable explaining AI decisions to product/business teams without jargon
- Need extensive onboarding on LangChain or modern LLM tooling
- Prefer research over shipping production systems
- Haven't built conversational AI that real users relied on
- Looking for pure ML research role without engineering responsibilities
This isn't another chatbot. Parents use Hatch devices at 2am when their baby won't sleep. The AI needs to understand "my 8-month-old keeps waking up at 3am" and provide accurate, safe guidance aligned with sleep science. Bad advice impacts infant sleep and parental sanity. The technical challenges—intent mapping for complex device routines, guardrails ensuring safety, voice command robustness—are legitimately hard. If you want to build AI that actually helps people during their hardest parenting moments, this is it.
Why You'll Love Working at HatchWe're a certified Great Place to Work 94% of our employees say Hatch is a great place to work.
You'll work with an amazing leadership team that truly values employees and leads with our company values every day.
We help people sleep better Our products make a meaningful impact on people's lives.
Our team is collaborative, fun, and full of brilliant minds.
We're backed by world-class investors and growing fast
We support flexibility with a remote-friendly work environment.
100% paid medical, dental, and vision insurance for employees (80% for dependents, including domestic partners)
Meaningful equity—you're an owner here
401(k) match (no vesting schedule)
16 weeks of fully paid parental leave
16 free therapy sessions (for you + one other adult in your life)
Financial support for family planning
Remote office + monthly internet reimbursement
Friends & family discounts on Hatch products
Exclusive discounts on travel, entertainment, and top retail brands
And so many more spontaneous perks
About HatchDesigned by experts and loved by parents, our Rest family—including Rest, Rest+, and Rest Go—helps little ones (and their grown-ups) build healthy sleep routines. For adults, Hatch Restore is a fully customizable smart sleep clock and sunrise alarm designed to help you unwind nightly, sleep deeply, and wake gently.
Founded in 2014 by parent entrepreneurs Ann Crady Weiss and Dave Weiss and featured on Shark Tank, Hatch is headquartered in Menlo Park, California.
We are an equal opportunity employer and are committed to building a diverse and inclusive team. We welcome applicants of all backgrounds, experiences, and perspectives.
Ready to Help the World Sleep Better?
We'd love to hear from you Apply now and join us in making great sleep a reality for all.
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