Senior Machine Learning Engineer I / II

Job not on LinkedIn

🕒 April 13

⛰️ Colorado, Illinois, +1 more states – Remote

⛰️ Colorado – Remote 🌽 Illinois – Remote ☕ Washington – Remote

💵 $150k - $180k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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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

• Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability. • Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation. • Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs. • Raise the Bar – Foster a culture of technical excellence by championing best practices in testing, documentation, model monitoring, and development.

🎯 Requirements

• Education: A degree in Computer Science, Statistics, or a comparable quantitative field. • Experience: 4-6+ years of post-undergrad work experience in a production-grade ML environment. • Technical Depth: Strong foundation in machine learning theory, statistical evaluation, and experience with supervised/unsupervised learning at scale. • Execution Focus: Proven track record of taking ML projects from research/prototype to high-scale production environments. • Communication: Ability to communicate technical findings clearly to both technical peers and non-technical stakeholders. • Tech Stack: Proficiency in Python, SQL, key ML libraries, and Spark • Mindset: A strong outcome-oriented mindset—you care about the "why" behind the models and the business impact they create. • Attention to detail is critical in fraud prevention. To demonstrate this, please start your response to the first application question with the word 'Stochastic'

🏖️ 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