
Senior Machine Learning Engineer
Signify
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $140,000 - $190,000 per year
Job Level
Senior
Tech Stack
PythonSparkSQL
About the role
- 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.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningstatistical evaluationsupervised learningunsupervised learningML pipeline designprototypingmodel monitoringtesting best practicesdocumentation best practiceshigh-scale production
Soft skills
collaborationcommunicationoutcome-oriented mindsettechnical excellenceinnovation