Top Benefits
About the role
Who you are
- 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
- A pragmatic mindset: delivering fast, measurable improvements while balancing complexity and scale
What the job involves
- Trellis is hiring a Senior Machine Learning Engineer to advance our real-time bidding (RTB) systems
- You will design, implement, and scale ML models that directly power high-volume bidding decisions across millions of daily ad auctions
- This includes end-to-end ownership of the ML lifecycle: data exploration, feature engineering, model training, deployment, and monitoring in production
- You’ll leverage Google Cloud Platform services (BigQuery, Vertex AI, Dataflow, Pub/Sub) and Python-based ML frameworks (TensorFlow, PyTorch, Scikit-learn) to deliver measurable improvements in bidding efficiency and ROI
- This is a fully remote position, based in the US or Canada, and will report directly into the Head of RTB, Thomas Boquet
- 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 AB testing of ML-driven bidding strategies
Benefits
- Bonuses and equity opportunities
- Unlimited vacation time
- 100% employer-paid insurance for employee, 60% for dependents
- 401K plan
- Annual in-person retreats
About Trellis
Trellis Company is a mission-driven, nonprofit 501(c)(3) corporation that connects people to education-to-employment pathways that transform their lives. Our purpose is to develop and advance initiatives that grow individual economic mobility and expand community prosperity.
At Trellis, we actively promote diversity, equality, and belonging both at Trellis and throughout our family of companies. That extends to the relationships and interactions we have with our partners, our customers, and our community.
More About Trellis For more than 42 years, we have delivered positive outcomes for college students and higher ed institutions. We are now extending our commitment to the social good to reach a greater number of people and the communities where they live. Through our nationally recognized research services, specialized employee financial wellness programs, and workforce development collaboratives, we aim to increase individual economic mobility and expand community prosperity.
We build each other up to bring out the best in all of us.
Our Core Values • We do well by doing good • Our culture celebrates diversity, equity, and inclusion • We encourage exploration, experimentation, and innovation • Our work gives us fulfillment and purpose • We foster a sense of trust, servant leadership, and integrity • We succeed because we work together
Top Benefits
About the role
Who you are
- 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
- A pragmatic mindset: delivering fast, measurable improvements while balancing complexity and scale
What the job involves
- Trellis is hiring a Senior Machine Learning Engineer to advance our real-time bidding (RTB) systems
- You will design, implement, and scale ML models that directly power high-volume bidding decisions across millions of daily ad auctions
- This includes end-to-end ownership of the ML lifecycle: data exploration, feature engineering, model training, deployment, and monitoring in production
- You’ll leverage Google Cloud Platform services (BigQuery, Vertex AI, Dataflow, Pub/Sub) and Python-based ML frameworks (TensorFlow, PyTorch, Scikit-learn) to deliver measurable improvements in bidding efficiency and ROI
- This is a fully remote position, based in the US or Canada, and will report directly into the Head of RTB, Thomas Boquet
- 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 AB testing of ML-driven bidding strategies
Benefits
- Bonuses and equity opportunities
- Unlimited vacation time
- 100% employer-paid insurance for employee, 60% for dependents
- 401K plan
- Annual in-person retreats
About Trellis
Trellis Company is a mission-driven, nonprofit 501(c)(3) corporation that connects people to education-to-employment pathways that transform their lives. Our purpose is to develop and advance initiatives that grow individual economic mobility and expand community prosperity.
At Trellis, we actively promote diversity, equality, and belonging both at Trellis and throughout our family of companies. That extends to the relationships and interactions we have with our partners, our customers, and our community.
More About Trellis For more than 42 years, we have delivered positive outcomes for college students and higher ed institutions. We are now extending our commitment to the social good to reach a greater number of people and the communities where they live. Through our nationally recognized research services, specialized employee financial wellness programs, and workforce development collaboratives, we aim to increase individual economic mobility and expand community prosperity.
We build each other up to bring out the best in all of us.
Our Core Values • We do well by doing good • Our culture celebrates diversity, equity, and inclusion • We encourage exploration, experimentation, and innovation • Our work gives us fulfillment and purpose • We foster a sense of trust, servant leadership, and integrity • We succeed because we work together