Senior Machine Learning Engineering Manager

Stelle nicht auf LinkedIn

🕒 vor 2 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $200.000 - $245.000 / Jahr

⏰ Vollzeit

🟠 Senior

👮‍♀️ Leiter Softwareentwicklung

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 28%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

Jetzt Bewerben

Ähnliche Remote-Jobs finden

Signify

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2000

🔒 Cybersecurity

🤝 B2B

☁️ SaaS

Cybersecurity • B2B • SaaS

Signify - Eine Accumuli Gesellschaft

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen