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Senior ML Engineer — mobile AI

Bending Spoons

Full-time
Senior
Product ML
Hybrid
Via Nino Bonnet 10, 20154 Milan, Italy · Hybrid
EUR 75k–105k/year + equity

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: Via Nino Bonnet 10, 20154 Milan, Italy · Hybrid
Compensation: EUR 75k–105k/year + equity
Experience level: Senior
Team: Product ML
Benefits & perks: Equity, Milan office, English product culture.
How to apply: Shipped ranking, vision, or LLM feature on consumer scale.
Company site: bendingspoons.com
Listed: Jul 11, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

Bending Spoons is hiring a Senior Senior ML Engineer — mobile AI on the Product ML team (Hybrid · Milan, Italy). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Bending Spoons builds and scales consumer apps with ML for personalization, vision, and growth experiments from Milan.

Join as a Senior ML Engineer to ship models that touch millions of users with rigorous offline and online evaluation.

What you will do

Ship production mobile and product ML with offline evals, monitoring, and safe rollout.
Work with product and domain experts on requirements and trade-offs.
Improve data pipelines, labeling, and metrics tied to business KPIs.
Document runbooks for on-call and customer-facing teams.

What we look for

Strong Python and modern ML/LLM stack with shipped features.
SQL, experimentation, and clear communication to stakeholders.
Eligible to work in the listed country; professional English required.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

KubernetesTool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Shipped ranking, vision, or LLM feature on consumer scale.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, and Kubernetes.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Milan, Italy)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: EUR 75k–105k/year + equity, benefits in At a glance) and your expectations align.

Apply

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What the employer asked for

Shipped ranking, vision, or LLM feature on consumer scale.

Sign in with a candidate account to apply

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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