The true B2B data pioneer, Bombora connects the B2B ecosystem in a one-of-a kind Data Cooperative—enabling a holistic view of an account’s research and consumption behavior. From this data, Bombora derives actionable insights that make it possible for brands, agencies, and publishers to identify, understand, and reach their prospects and customers, throughout the buyer and user experience, across the activation platforms of choice.
Bombora is continually recognized by analyst firms as a leader in Intent data powering GTM data solutions.
As our Machine Learning Engineer, you will play a key role in building and deploying cutting-edge ML and NLP solutions that drive real business impact. You will work on high-scale, production-grade ML pipelines using GCP, Python, and SQL, collaborating closely with data scientists, engineers, and product leaders to bring models from research to deployment. This role offers a unique opportunity to work on complex deep learning challenges, optimize models for real-world performance, and contribute to a growing, high-impact ML ecosystem.
We thrive on innovation, collaboration, and end-to-end ownership—every engineer has the autonomy to experiment, build, and deploy solutions that shape key business decisions. If you’re looking for a fast-paced, highly technical, and impact-driven environment, this is the perfect place to grow your ML expertise and make a tangible difference
You will…
- Implement end-to-end ML workflows on GCP (preferred), integrating data pipelines and model deployment.
- Work with SQL / PL SQL to clean, transform, and prepare large datasets for ML models.
- Write efficient Python code, optimize model inference, and develop APIs for model integration.
- Apply statistical methods to evaluate and improve model performance.
- Work closely with data engineers, software teams, and product managers to bring ML solutions into production.
- Implement model monitoring, retraining pipelines, and troubleshooting workflows to keep models accurate over time
- Tune hyperparameters, optimize inference speed, and ensure models are cost-effective at scale
You have…
- 4+ years experience in developing ML applications and ML models on Cloud (GCP preferred)
- Proficiency in Python for ML model development, data manipulation, and automation.
- Hands-on experience with frameworks like TensorFlow, PyTorch, or Hugging Face.
- Ability to build and integrate ML models with APIs (e.g., Flask, FastAPI, or cloud-based endpoints).
- Solid understanding of probability, hypothesis testing, and model evaluation techniques.
- Prior experience shipping ML models into production at scale
- Familiarity with Git, Docker, and ML CI/CD pipelines for automated testing and deployment
- Ability to design ML systems that handle high-throughput, real-time, or batch processing workloads efficiently
Bonus points for...
- Experience with CI/CD for ML models, model monitoring, and orchestration tools like Kubeflow or Airflow
- Knowledge of distributed computing frameworks (e.g., Spark, Dask) for large-scale ML processing.
- Understanding of LLMs and vector search for enhancing NLP applications
Perks and Benefits
- Health / Dental / Vision
- Flexible Spending / Health Spending Accounts
- Flexible Vacation / Paid Holidays / Summer Fridays
- Education / Tuition Assistance / Annual Learning Stipend
- 401K / Match
- Generous Parental Leave (16 weeks primary/12 secondary)
- Commuter Benefits
- On Demand Learning (Udemy)
- Team Lunches / Outings / Events (Yes! We found a way to do virtually!)
Compensation Package
- The salary range for this position is $155,000 to $170,000. Actual compensation may vary and will be based on a candidate’s qualifications, skills, experience, and location.
- Equity
At Bombora, we embrace diversity because it breeds innovation. Bombora is an equal-opportunity employer and participates in E-Verify. Employment offers are contingent upon completion of successful background checks.
