Senior Machine Learning Engineering Manager

Vaga não está no LinkedIn

🕒 Agosto 14

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $200.000 - $245.000 / ano

⏰ Tempo Integral

🟠 Sênior

👮‍♀️ Gerente de Engenharia de Software

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 28%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Signify

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2000

🔒 Cibersegurança

🤝 B2B

☁️ SaaS

Cybersecurity • B2B • SaaS

Signify - Uma empresa da Accumuli

Descrição

• Lead and grow a machine learning engineering team through career development, conflict management, mentoring, feedback, goal setting, and hiring. • Identify and address gaps in team capabilities and processes. • Partner with tech leads to pressure-test ideas, prioritize hypotheses, allocate compute and headcount, and manage experimentation portfolios. • Balance near-term model improvement commitments with longer-term research bets and reallocate resources as evidence arrives. • Establish rigorous evaluation standards, including rolling evaluations and validation that offline results predict online behavior. • Drive independent experimental workstreams toward end-to-end evaluation, release candidates, and production shipment. • Work directly with Risk partners on measured model-performance commitments while they own thresholds, rules, and merchant decision application. • Operate autonomously to set team direction based on measured performance and experiments. • Partner with platform and infrastructure teams on feature systems, training pipelines, and experimentation tooling. • Represent team results to engineering leadership, Risk leaders, and the wider company.

🎯 Requisitos

• Roughly 5+ years in machine learning, data science, or ML-adjacent software engineering. • At least 3 years of people management experience, including career development, conflict resolution, and building healthy, high-performing teams. • Genuine depth in at least one of engineering and applied statistics, with working competence in the other. • Technical ability to engage with production models, code, evaluation pipelines, and statistical results. • Demonstrated ability to lead work under uncertainty, set direction, change course based on evidence, and communicate decisions effectively. • Excellent written and verbal communication, including strong document-writing ability. • Ability to recognize priorities and evaluate outcome impact autonomously in a fast-moving environment. • Commitment to correctness, reproducibility, reliability, and high-quality work.

🏖️ Benefícios

• Discretionary Time Off Policy (Unlimited!) • 401K Match • Stock Options • Annual Performance Bonus or Commissions • Paid Parental Leave (12 weeks) • On-Demand Therapy for all employees & their dependents • Dedicated learning budget through Learnerbly • Health Insurance • Dental Insurance • Vision Insurance • Flexible Spending Account (FSA) • Short Term and Long Term Disability Insurance • Life Insurance • Company Social Events • Signifyd Swag

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo