Feature Stores Engineer Jobs

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Machine Learning Engineer

Good Inside New York, NY

New York, NY

Today

$205k - $235k/yr Full time Backend Developer Artificial Intelligence AWS

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Job Description

Good Inside is seeking a Machine Learning Engineer to support ML-driven capabilities in production, distinct from a research or data science-only role. You will build the backend services and APIs that connect machine learning models and third-party ML services to personalized, intelligent user experiences across the Good Inside platform.

This onsite position is based in New York, NY and is designed for engineers who can turn ML functionality into reliable, scalable systems that product, mobile, and design teams can ship to users.

Key Responsibilities

Design, build, and maintain backend services and APIs powering ML-driven features across the platform
Integrate and orchestrate ML models and third-party ML APIs (including LLM providers, recommendation engines, and embeddings services) for production use
Build data pipelines and infrastructure supporting model serving, feature storage, and real-time personalization
Work closely with product, mobile, and design teams to deliver ML capabilities as user-facing features
Own reliability, performance, and scalability for ML-adjacent backend systems
Develop clean, maintainable, and well-documented code aligned with defined project scope
Create clear documentation of architectural decisions, implementation details, and handoff materials at project completion
Provide input on feature scope and sequencing to support timely delivery of project outcomes

Required Qualifications

5+ years of professional software engineering experience, with strong emphasis on backend development
Proven experience shipping ML-powered features or products in a production environment
Working knowledge of ML concepts such as embeddings, classification, recommendation systems, and LLMs (training not required)
Hands-on experience integrating ML APIs and services (examples include 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 ML-relevant data stores and pipelines (examples include vector databases, feature stores, streaming systems)
Excellent interpersonal, verbal, and written communication skills
Strong collaboration and ability to build cross-functional working relationships
Self-starter with strong analytical and problem-solving skills, plus the ability to stay organized and deliver in a fast-paced environment
Computer Science degree or equivalent
At least 2 years of experience in-house as an ML Engineer

Technologies You’ll Work With

Python, Go, Java, TypeScript/Node
OpenAI, Anthropic, ElevenLabs, HuggingFace
AWS SageMaker, AWS, GCP, Azure
Vector databases, feature stores, streaming systems

Compensation & Benefits

Base salary: USD 205,000 - 235,000 per year
Company equity
Comprehensive benefits package
401k + company match
Time off to recharge
High-ownership, high-performance, high-collaboration culture

Preferred Background

Startup growth experience, including enthusiasm for scaling a high-growth organization
LLM application development experience (prompt engineering, RAG pipelines, conversational AI, or similar)
Infrastructure and DevOps fluency including CI/CD, monitoring, observability, and ML production readiness
Prior experience with recommendation systems, personalization engines, or content ranking algorithms in a user-facing product

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