Stop applying to remote jobs that are already dead.
Every listing checked, aged honestly, expired when filled.

All listings

Maropost via Bamboohr

Senior Software Engineer (Machine Learning)

India senior
still open verified 3h ago posted 9d ago seen just now
Apply at maropost.bamboohr.com

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 3h ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 9d ago

The date the source published, not the day we noticed it (2026-09-24). Last seen at its source just now.

Is it remote?

Marked remote on the employer's board

Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.

Who may apply?

India

The description states no restriction of its own. This is the source's own tag.

Pay not stated

Similar roles pay $32k–51.9k/yr

Middle 50% of 11 listings that do state pay — Engineering · all levels · India · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

ClickHouseDockerFastAPIKafkaKubernetesLLMMachine LearningProduct DiscoveryPythonSQLTicketing

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

Everything we do is for our customers!

 

Featured on Deloitte's Technology Fast 500 list and G2's leaderboard, Maropost offers a unified commerce experience that our customers need, transforming ecommerce, retail, marketing automation, merchandising, helpdesk and AI operations with one platform designed to scale for fast-growing businesses. With a relentless focus on our customers’ success, we are motivated by customer obsession, extreme urgency, excellence and resourcefulness to power 5,000+ global brands while we head to 100,000+.

 

Driven by the same customer-centric mentality as above, we empower businesses to achieve their goals and grow alongside us. If you're a driver and not passenger and are ready to make a significant impact and be part of our transformative journey, Maropost is the place for you.

 

The Opportunity:


You will own the machine learning that powers product discovery for our merchants: personalized search ranking, recommendation widgets, email recommendations, and an LLM shopping assistant. This is an end-to-end role. You will train the models, build the services that serve them, and keep both running in production. You will not hand a model over a wall to someone else.


The team is small and the systems are real: Recommendations are re-ranked in the live request path for storefronts, under a 200 ms budget, measured by merchant conversion.


What Youʼll Be Responsible For:

  • Design, train and ship recommendation and ranking models - session-based embeddings, collaborative filtering, content and visual embeddings.
  • Build and operate the Python services that serve them at low latency.
  • Run the batch pipelines that rebuild model artifacts daily across hundreds of merchants.
  • Design and read AB tests; decide what ships on the evidence.
  • Own your deployments: containers, Kubernetes manifests, autoscaling, dashboards, alerts.
  • Extend our LLM work - a shopping assistant and LLM-assisted catalogue enrichment - with proper evaluation behind it.


What Youʼll Bring to Maropost:

  • 5+ years building machine learning systems, with at least 3 years of models serving live production traffic.
  • Strong Python,(FastAPI or equivalent).
  • Vector databases (Qdrant).
  • Other ANN libraries - FAISS, Annoy, ScaNN. HNSWlib is what we run, but the trade-offs transfer.
  • Hands-on recommender systems or search ranking experience: implicit feedback, embeddings, approximate nearest neighbour search.
  • Solid SQL against analytical stores; ClickHouse experience is a plus.
  • Comfortable with Docker and Kubernetes, and willing to own the deployment of your own work.
  • Experience running AB tests and reporting results you did not like.
  • Streaming systems (Pulsar, Kafka, Flink)
  • You exemplify Maropost’s Values:

               Customer Obsessed 

               Extreme Urgency 

               Excellence 

               Resourceful

 


Message from the Founders: Maropost is looking for builders - people who want to drive our business forward at all costs in order to achieve the goals we have both short and long term for the results and outcomes that that will bring to us all.

 

If that isn't for you that’s ok, for those of you that it is please get in touch with us!

Apply at maropost.bamboohr.com