Source Job

US

  • Lead a multidisciplinary team of ML engineers, data scientists, and analysts to improve identification accuracy.
  • Own the team's technical roadmap and drive measurable model quality outcomes at massive scale.
  • Collaborate with engineering, product, and customer teams to translate business needs into technical priorities.

Machine Learning Data Science MLOps Team Leadership Analytics Engineering

7 jobs similar to Engineering Manager, Identification Accuracy

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UK

  • Lead and develop a multidisciplinary team of ML Engineers, Data Scientists, Analysts, and Analytics Engineers.
  • Own and drive the team roadmap in partnership with engineering leadership and cross-functional stakeholders.
  • Support the development, evaluation, deployment, and continuous improvement of machine learning models.

The company specializes in online trust and security using AI and machine learning, focusing on fraud prevention and digital identity. The team is globally distributed and fosters collaboration, psychological safety, and technical excellence.

US Unlimited PTO 12w maternity 12w paternity

  • Lead and grow a team of machine learning engineers, guiding career development, managing conflicts, and nurturing a positive work environment.
  • Run a portfolio of experiments, balancing near-term improvements with longer-horizon innovation bets, and make decisions on hypothesis resourcing.
  • Partner with Risk stakeholders to set direction from data, own delivery cadence, and represent team results to engineering leadership and the wider company.

Signifyd helps merchants grow their businesses by building trusted customer relationships through advanced technology that eliminates fraud and creates frictionless shopping experiences. The company is trusted by thousands of leading merchants across more than 100 countries, securely processing billions of transactions annually, and fosters a culture of commitment, empathy, and creativity.

US Canada

  • Lead and develop a team of data scientists to deliver proof-of-concept projects for enterprise customers.
  • Build and review ML models, conduct fraud analyses, and ship production-grade solutions alongside your team.
  • Partner cross-functionally with Engineering, Product, and GTM to scope work and influence the roadmap.

Sardine is the leading agentic risk platform for fighting financial crime. With over 6 billion profiled devices and a remote-first culture, we hire self-motivated individuals who value performance over hours.

US

  • Lead a high-performing AI and data science team to develop and deploy AI-driven security systems.
  • Define and execute the technical roadmap for AI, ML, and data systems, ensuring robust performance and scalability.
  • Manage the entire lifecycle of data pipelines and AI models, integrating with platforms like AWS Bedrock and OpenAI.

Bugcrowd is a crowdsourced security platform that unites organizations with a global network of hackers to identify vulnerabilities. The company is backed by prominent investors and fosters a collaborative, inclusive culture with a diverse team of professionals.

US

  • Lead a team building data platforms and ML operations infrastructure.
  • Own reliability, scalability, and continuous improvement of analytics systems.
  • Collaborate with data scientists and leaders to deliver impactful ML solutions.

The company builds advanced data and machine learning platforms that power analytics and intelligent products. Its culture emphasizes innovation, reliability, and inclusivity, supporting professional growth and technical excellence.

Canada

  • Lead a team of platform engineers to build and operate ML training and serving infrastructure, including GPU and low-latency serving.
  • Combine strong people leadership with technical judgment in ML infrastructure, partnering with senior ICs and cross-functional teams.
  • Drive delivery, operational health, and evaluate modern ML tooling to support company-wide ML priorities.

Affirm is reinventing credit to make it more honest and friendly, offering buy now pay later solutions without hidden fees. It is a remote-first company with a strong engineering culture, prioritizing people and providing competitive benefits.

Canada

  • Lead a talented engineering team building advanced AI-powered systems for scientific discovery.
  • Translate open-ended research objectives into clear technical strategies and scalable solutions.
  • Balance innovation speed with reliability, security, and operational excellence.

The partner company is building advanced AI-powered systems for scientific discovery. It offers a collaborative environment where engineers work alongside researchers and technical experts.