Payscale · 13 hours ago
Machine Learning Engineer I (US)
United States
Full-time
Remote
Entry Level
$112K/yr - $168K/yr
1+ years expPayscale is a compensation innovator that empowers organizations with AI-powered tools and insights. They are seeking an early-career Machine Learning Engineer to help deploy AI/ML models into production environments, focusing on model packaging, integration, and monitoring.
Big DataEnterprise SoftwareHuman ResourcesSaaSSoftware
Responsibilities
Partner with Data Science to package models for deployment and integrate them into our products and internal services
Implement and improve ML deployment and inference workflows (batch and/or real-time), including automation and CI/CD patterns with guidance from senior engineers
Build and maintain API endpoints or services that expose model predictions, including input validation, error handling, and documentation
Write tests (unit/performance/integration) to validate model behavior and service reliability; help create repeatable validation checks and release processes
Instrument services with logging/metrics and help monitor production behavior; participate in incident triage and troubleshooting with support from the team
Contribute to performance and cost improvements through profiling and practical techniques like batching, basic caching, and efficiency-minded design
Stay current on relevant AI/ML engineering best practices and share learnings with the team
Qualification
Required
Bachelor's or master's degree in Computer Science, Engineering, or related field
1+ years of experience (including internships/co-ops) building software in a production environment
Proficiency in Python with a focus on readable, testable code
Familiarity with core ML concepts and at least one ML framework (e.g., PyTorch, TensorFlow, scikit-learn)
Familiarity with building or consuming APIs (HTTP/JSON) and basic service development patterns
Comfort working in a collaborative environment: asking questions, communicating tradeoffs, and incorporating feedback
Willingness to learn cloud, containerization, and MLOps practices as part of day-to-day work
Preferred
Exposure to MLOps tools or patterns (e.g., MLflow, Airflow, Kubeflow, feature stores, model registries)
Experience with containers (Docker) and/or orchestration (Kubernetes)
Experience with observability tools (e.g., Datadog, Prometheus/Grafana) and production troubleshooting
Basic performance tuning experience (profiling, async patterns, caching concepts)
Experience working with data platforms (e.g., Snowflake, Spark) or large-scale data pipelines
Benefits
Flexible paid time off, giving you the opportunity to rest, relax and recharge away from work
14 Paid Company Holidays, includes 2 floating holidays (you choose!)
A comprehensive benefits plan including medical, dental, life, vision, disability, and life insurance covered up to 100% by Payscale
Unlimited infertility coverage benefits through our medical plans
Additional supplemental health benefits offered to you and your family
401(k) retirement program with a fully vested immediate company match
16 weeks of paid parental leave for birthing and non-birthing parents
Health Savings Account (HSA) options and company contributions each pay period
Flexible Spending Account (FSA) options for pre-tax employee allocations
Annual remote work stipend to be used on wellness or home office equipment
Company
Payscale
Payscale provides compensation software, data and services to employers and free salary information and negotiation resources to individuals
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$33.39MKey Investors
Sapphire VenturesLeader VenturesTrinity Ventures
2019-04-25Acquired
2011-07-05Series Unknown· $7M
2010-10-25Series Unknown
Leadership Team
Ruth Thomas
Senior Vice President
Jeff Laliberte
Board Member
Recent News
Company data provided by crunchbase