Architect, Full Stack, Agentic AI Research & Prototyping
JAGGAER
AngularAWSAzureCassandraCloudGoogle Cloud PlatformJavaMongoDBNoSQLPostgresReactRedis+5 more
Senior Machine Learning Engineer, Real-Time Bidding
Trellis Company
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
BigQueryCloudDistributed SystemsGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Research, design, and implement advanced ML models for conversion rate prediction, value estimation, and pacing
- Build robust feature pipelines with BigQuery and Dataflow, ensuring low-latency inference at scale
- Deploy, monitor, and continuously improve models in production using Vertex AI
- Develop and maintain MLOps frameworks to automate training, evaluation, and deployment
- Partner with backend and distributed systems engineers to integrate models into high-throughput bidding services
- Contribute to experimentation frameworks and A/B testing of ML-driven bidding strategies
- Own end-to-end ML lifecycle: data exploration, feature engineering, model training, deployment, and monitoring
- Drive improvements in bidding efficiency and ROI across millions of daily ad auctions
- Report to Head of RTB (Thomas Boquet) and collaborate with cross-functional engineering teams
Requirements
- 5+ years of ML engineering experience, including end-to-end deployment in production environments
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, or Scikit-learn)
- Experience with cloud ML platforms, preferably GCP (Vertex AI, Dataflow, Pub/Sub, BigQuery)
- Familiarity with MLOps practices (CI/CD for ML, monitoring, reproducibility)
- Strong data skills: SQL, feature engineering, and big data processing
- Pragmatic mindset: delivering fast, measurable improvements while balancing complexity and scale
- Must be based in the United States or Canada (fully remote within US/Canada)
Benefits
- Unlimited vacation time
- 100% employer-paid Platinum-tier health insurance for employee, 65% for dependents
- Flexible Spending Accounts (FSAs)
- 401(k) retirement savings plan
- Bonuses and equity opportunities
- Budget for home office equipment
- Quarterly, fun team bonding events
- 75th-percentile (competitive!) compensation
- 100% remote work environment
- Opportunities for growth and development
- Flat, collaborative, transparent culture
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningmodel deploymentfeature engineeringdata explorationbig data processingA/B testingMLOpslow-latency inferencecloud ML platformsSQL
Soft skills
pragmatic mindsetcollaborationcommunicationproblem-solvingcross-functional teamwork
