Signifyd is looking for a Senior Machine Learning Engineer to join their team. The role involves building, maintaining, and monitoring production ML models and offline experimentation frameworks. The team works closely with Platform Engineering teams to contribute novel modeling methods, advanced feature engineering, and robust statistical practices.
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
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