Good Inside · 19 hours ago
Senior Machine Learning Engineer
New York, NY (Hybrid Manhattan)
Full-time
Hybrid
Senior Level
$205K/yr - $235K/yr
5+ years expGood Inside is redefining parenting through innovative technology and personalized guidance. They are seeking a Senior Machine Learning Engineer to develop backend services and integrate ML models to enhance user experiences on their platform.
Computer Software
Responsibilities
Design, build, and maintain backend services and APIs that power ML-driven features across the Good Inside platform
Integrate and orchestrate ML models and third-party ML APIs (e.g., LLM providers, recommendation engines, embeddings services) into production systems
Build data pipelines and infrastructure to support model serving, feature storage, and real-time personalization
Collaborate closely with product, mobile, and design teams to translate ML capabilities into user-facing features
Own the reliability, performance, and scalability of ML-adjacent backend systems
Develop clean, maintainable, and well-documented code aligned with defined project scope
Provide clear documentation of architectural decisions, implementation details, and handoff materials upon project completion
Provide input on feature scope and sequencing to support timely and successful delivery of project deliverables
Qualification
Required
5+ years of professional software engineering experience, with a strong focus on backend development
Demonstrated experience shipping ML-powered features or products in a production environment
Working knowledge of ML concepts (e.g., embeddings, classification, recommendation systems, LLMs) – you don't need to train models, but you need to understand how they work and when to use them
Hands-on experience integrating ML APIs and services (e.g., OpenAI, Anthropic, ElevenLabs, HuggingFace, AWS SageMaker, or similar)
Proficiency in Python and/or another backend language (Go, Java, TypeScript/Node, etc.)
Experience with cloud infrastructure (AWS, GCP, or Azure) and containerized deployments
Familiarity with data stores and pipelines relevant to ML workloads (e.g., vector databases, feature stores, streaming systems)
Excellent interpersonal, verbal, and written communication skills
Strong collaboration abilities and cross-functional relationship-building
Self-starter with strong analytical and problem-solving skills
Ability to stay organized and deliver results in a fast-paced, changing environment
Preferred
Startup Growth Experience: This isn't your first time helping a high-growth startup scale. You are excited by the challenge and love creating and learning from the bottom up
Experience with LLM Application Development: You've built applications on top of large language models – prompt engineering, RAG pipelines, conversational AI, or similar – and understand the practical challenges of shipping LLM-powered features
Infrastructure & DevOps Fluency: Experience with CI/CD, monitoring, observability, and production-readiness for ML systems
Prior experience with recommendation systems, personalization engines, or content ranking algorithms in a user-facing product
Benefits
Company Equity
Comprehensive benefits package
401k + Company match
Time off to recharge
Hybrid work environment
Company
Good Inside
Good Inside is an expert-guided, community-powered platform equipping parents with a new way of seeing and solving challenges at home.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
unknown2021-02-05Seed
Leadership Team
Dr. Becky Kennedy
CEO and Founder
Erica Belsky
Co-Founder & COO
Recent News
Business Insider
2025-05-07
Company data provided by crunchbase