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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 hiring a Machine Learning Engineer (not a research/data science role) to build production backend services and APIs for ML-driven product features.

Responsibilities

Design, build, and maintain backend services and APIs powering ML-driven features across the Good Inside platform
Integrate and orchestrate ML models and third-party ML APIs (including LLM providers, recommendation engines, and embeddings services) into production systems
Create data pipelines and supporting infrastructure for model serving, feature storage, and real-time personalization
Work closely with product, mobile, and design teams to turn ML capabilities into user-facing experiences
Ensure reliability, performance, and scalability for ML-adjacent backend systems
Write clean, maintainable, well-documented code aligned to defined project scope
Document architectural decisions, implementation details, and handoff materials when projects are completed
Provide input on feature scope and sequencing to support timely delivery of project outcomes

Requirements

5+ years of professional software engineering experience, with a strong focus 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, but understanding model behavior and use cases is)
Hands-on experience integrating ML APIs and services (examples listed: 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 for ML workloads (examples listed: vector databases, feature stores, streaming systems)
Excellent interpersonal, verbal, and written communication skills
Strong collaboration abilities and cross-functional relationship-building
Self-starter with analytical and problem-solving skills
Ability to stay organized and deliver in a fast-paced, changing environment
Computer Science degree or equivalent
At least 2 years of experience in house as an ML Engineer

Technologies

Python
Go
Java
TypeScript/Node
OpenAI
Anthropic
ElevenLabs
HuggingFace
AWS SageMaker
AWS
GCP
Azure
Vector databases
Feature stores
Streaming systems

Benefits

Base salary: $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 Experience

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

Location: New York, NY (onsite)

Education: Computer Science degree or equivalent

Experience: 5+ years professional software engineering; at least 2 years in house as an ML Engineer

Compensation: $205k - $235k base salary per year

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