# Data Science Engineering Manager

[Alice](https://gurify.com/jobs?q=Alice) · Ramat Gan, Israel · Posted 6 weeks ago

[Engineering Manager](https://gurify.com/jobs/engineering-manager)

[Apply on the original posting → (opens in a new tab)](https://www.comeet.com/jobs/alice/D5.005/data-science-engineering-manager/CD.171)

## Job description

We are hiring an Engineering Manager to own and grow the Data Science group - the R&D team behind Alice's security and safety AI models and the data platform that powers them. You will lead a multidisciplinary team of ML engineers, data scientists, and software engineers who ship real-time inference at scale, automated red-teaming of GenAI systems, and the Databricks/Spark data platform underneath. This is a hands-on people-leadership role: you set technical direction, are accountable for delivery and quality, and you build and grow the team.

### What your team owns

The group is responsible for a large Python + Rust + PySpark monorepo (dozens of production services and shared libraries) spanning three connected domains:

1. Content-moderation inference at scale

Real-time, multi-tenant detection across text, image, video, and audio - hate speech, CSAM, nudity, child grooming, extremism, PII, prompt injection, age estimation, and more - served through an in-house ActiveServe framework over NVIDIA Triton and a Rust detection monolith, on latency-sensitive, SLA-bound, customer-facing traffic with per-customer custom models.

2. GenAI safety & red-teaming

Automated red-teaming that attacks customers' LLM applications with a research-driven attack taxonomy and measures attack-success rate, alongside the defensive side - LLM-as-judge escalation to cut false positives and the tooling that authors and refines moderation policies - built on a multi-provider LLM foundation (Bedrock, Anthropic, OpenAI, Gemini, xAI Grok) and forming Alice's leading edge into agentic-AI safety.

3. Data platform & MLOps

An end-to-end lakehouse and MLOps stack on Databricks - bronze/silver/gold ingestion, PySpark pipelines, and model training, versioning, and promotion through MLflow / Unity Catalog into Triton serving - with the performance-critical hot paths engineered in Rust (PyO3/maturin) for sub-millisecond, high-QPS matching and detection.

### What you'll do

- Lead and grow the team - mentor ML engineers, data scientists, and software engineers, and own hiring, onboarding, 1:1s, career development, and performance.

- Set direction and deliver - set technical direction and standards, turn company and product goals into a prioritized roadmap, and own the quality, reliability, and delivery of the systems above across parallel workstreams.

- Champion excellence and partnership - stay hands-on to review designs and unblock the team, drive engineering excellence (testing, observability, CI/CD, on-call, cost/latency), keep the team at the state of the art in ML, LLMs, and GenAI safety, and partner with Product, Platform, and GenAI-safety stakeholders.

### Leadership competencies

- People-first: builds trust, grows engineers, and creates a healthy, inclusive, high-ownership culture.

- Outcome-oriented: drives clarity, sets priorities, and delivers under ambiguity without micromanaging.

- Technical credibility: earns the team's respect through sound judgment on architecture and trade-offs.

- Systems thinker: balances short-term delivery against long-term platform health, cost, and tech debt.

### Requirements

### What we're looking for (must-have)

- Leadership & communication - a proven people manager of engineering or data-science teams (or a strong tech lead ready to step into formal management), with excellent communication and stakeholder management.

- Hands-on engineering and ML at scale - strong production Python and software-engineering background with solid ML / data-science foundations (training, evaluation, deployment, monitoring), running services at scale on AWS and Kubernetes and large-scale data on Spark/PySpark and a lakehouse (Databricks or equivalent).

- AI-augmented engineering - deep, daily fluency with an AI coding assistant (Claude Code, Cursor, or Codex), with the judgment to raise the whole team's leverage and set how these tools are used well.

### Nice to have

- Experience with LLMs / GenAI in production - prompting, evaluation, guardrails, red-teaming, or agentic systems.

- Experience with model serving on NVIDIA Triton (or similar) and the MLflow / Unity Catalog lifecycle.

- Familiarity with Rust and Python/Rust interop (PyO3/maturin) for performance-critical paths.

- Background in GenAI safety and security, content moderation, or another domain where model quality has real-world stakes.

- Experience with event-driven architectures (Kafka, SQS) and Infrastructure-as-Code (Terraform).

### About Alice

Alice is the GenAI safety and security platform that keeps online experiences safe. We provide AI-driven detection, moderation, and red-teaming that protect billions of users across social platforms, marketplaces, gaming, and - increasingly - the GenAI applications reshaping the internet. Our Data Science group builds the machine-learning and data systems at the core of that mission.

**Live in Alice’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role.

We remove it as soon as it disappears at source.

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