Senior ML-Powered Backend Engineer

Goodinside; New York (NY); On-site; USD 205,000 - 235,000; Full time

Benefits offered by this job

Company Equity

Comprehensive benefits package

401k + Company match

Time off to recharge

High-ownership culture

Job summary

Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is a backend‑focused role building ML‑powered features in production, at the intersection of backend systems and ML.

You’ll ship reliable ML capabilities, develop scalable infrastructure, and collaborate with product, design, mobile, and data teams to deliver high‑quality user experiences. You should be comfortable with ML APIs, embeddings, LLMs, and model serving in cloud environments.

Qualifications

• 5+ years of backend software engineering experience.
• Production experience shipping ML-powered features.
• Understanding ML concepts (embeddings, LLMs, classifiers).
• Experience integrating ML APIs and services (OpenAI, Anthropic, HuggingFace, etc.).
• Proficient in Python and at least one backend language.
• Experience with cloud platforms and containerized deployments.
• Familiar with data stores and pipelines for ML workloads.
• Excellent communication and collaboration skills.
• Self-starter with strong analytical skills.

Responsibilities

• Design backend services and APIs powering ML-driven features.
• Integrate ML models and third-party ML APIs into production systems.
• Build data pipelines and infrastructure for model serving and real-time personalization.
• Collaborate with product, design, mobile, and data teams to translate ML capabilities into user-facing features.
• Ensure reliability, performance, and scalability of ML-adjacent backend systems.
• Write clean, maintainable code and proper documentation.
• Document architectural decisions and handoff materials.

Skills

Backend development

ML-powered features

ML concepts

ML API integration

Python

Cloud platforms

Data pipelines

Communication skills

Cross-functional collaboration

Analytical skills

Education

Computer Science degree or equivalent

2+ years ML Engineer experience

Tools

OpenAI

HuggingFace

SageMaker

AWS

Job description

Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is a backend‑focused role building ML‑powered features in production, at the intersection of backend systems and ML.

You’ll ship reliable ML capabilities, develop scalable infrastructure, and collaborate with product, design, mobile, and data teams to deliver high‑quality user experiences. You should be comfortable with ML APIs, embeddings, LLMs, and model serving in cloud environments.