Senior Machine Learning Engineering Manager

Job not on LinkedIn

🕒 August 14

🇺🇸 United States – Remote

💵 $200k - $245k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 26%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Signify

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2000

🔒 Cybersecurity

🤝 B2B

☁️ SaaS

Cybersecurity • B2B • SaaS

Signify is a company under Accumuli that specializes in securing computer networks. They provide a secure alternative to passwords by offering two-factor authentication as an on-demand hosted service, enabling safe remote access to systems and information. With a focus on high-quality service, Signify has built a reputation for delivering reliable and flexible two-factor authentication solutions that are easy to deploy. The company is ISO27001 Certified, ensuring best-in-class information security practices. As a certified RSA MSSP partner, Signify also offers a range of managed security services to enhance network security for organizations.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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