Experience: 3+ years of experience in ML engineering or related roles.

About Solenya

Solenya is building the AI infrastructure layer for modern e-commerce. We help merchants better match products to customers so shoppers can discover the right products faster. This drives higher revenue, stronger engagement and better customer lifetime value.

We’re an early-stage team working closely with leading retailers and marketplaces to shape the future of AI-driven commerce.

The Role

We're looking for another ML engineer to join our small team of generalists. Between them, they look after everything that makes the product work: model serving, data pipelines, the API merchants integrate with, and the infrastructure underneath it all. Together, that handles millions of requests a day.

The focus changes from week to week. One week you might be deploying a new model from our researchers or speeding up inference, the next adding an API feature for a customer or fixing a pipeline. You'll work closely with the leadership team and own the parts of the system you build.

What You'll Do

Help take new models from research to production, and keep GPU inference fast and cost-effective
Build and maintain the pipelines that ingest and embed merchant catalogues
Build features in our GraphQL API, which merchants and developers integrate with
Look after our Kubernetes infrastructure on GCP, including deployments and observability
Keep training and evaluation pipelines reproducible
Self-host and run LLMs for judging, annotation and evaluation

What We're Looking For

Strong Python and software engineering fundamentals: testing, CI/CD and code others can maintain
Experience deploying and running ML models in production
Solid PyTorch and deep learning knowledge, enough to work alongside researchers
Comfortable with backend services, databases and cloud infrastructure
A generalist who's happy switching between ML, backend and infra work
High EQ, low ego, and happy in an early-stage environment

Nice to have: Ray, Kubernetes, GPU performance work, vector databases, GraphQL, Kafka or LLM serving.

Our Stack

ML: PyTorch, Hugging Face, JAX/Flax, Ray (Train, Serve, Data), SGLang, MLflow
Backend: FastAPI, GraphQL (Strawberry), Prefect, Kafka
Data: DVC, BigQuery, dbt, Polars, Milvus, Postgres, ClickHouse
Infra: GKE with GPUs, Helm, Skaffold, Terraform, Nix, uv

What Success Looks Like

In your first 3–6 months, you'll:

Ship changes across the stack, from model serving and pipelines to the API and infrastructure
Measurably improve inference latency, cost or reliability
Own at least one part of the system that the rest of the team relies on

Why Join Solenya

Work at real scale from day one
Work closely with the leadership team
Broad exposure across ML, backend and infrastructure
Fast learning and a steep growth curve

Interested? Email us at careers@solenya.ai.