Senior Machine Learning Engineer
$180k - $250kSW5 Consulting
Job Description
Job Description
Senior Machine Learning Engineer
Location: Remote (U.S.) or New York City
Compensation: $180K – $250K + Equity
Employment Type: Full-time
About Us
We’re building cutting-edge AI solutions that help some of the world’s most recognizable brands connect with their customers in smarter, more meaningful ways. Our technology predicts who to reach, when to reach them, and through which channel —maximizing engagement and driving profitable growth.
The Role
As a Senior Machine Learning Engineer , you’ll be at the heart of our product innovation. You will:
- Design, train, and deploy ML models that power marketing personalization at scale.
- Build robust MLOps pipelines for training, serving, and monitoring models in production.
- Experiment and optimize using A/B testing, uplift modeling, and causal inference.
- Collaborate with leadership and cross-functional teams , mentoring others and shaping best practices.
What We’re Looking For
- 5+ years in software engineering, with 3+ years in ML systems .
- Experience with GCP, specifically in Vertex AI and / or Kubeflow
- Expertise in modern ML algorithms (tree-based methods, deep learning, transformers).
- Hands-on experience with PyTorch, TensorFlow, XGBoost .
- Strong Python skills and familiarity with Spark, Ray, BigQuery, Airflow .
- Experience with MLOps, CI/CD, containerization (Docker/Kubernetes) , and cloud platforms (GCP preferred).
- Comfort with advanced experimentation techniques and performance measurement.
Bonus Points
- Background in marketing tech or ad tech .
- Experience with LLMs, reinforcement learning, or bandit algorithms .
- Familiarity with causal inference and uplift modeling .
- Startup experience and ability to thrive in a fast-paced environment.
Why Join Us?
- Impact: Your work will directly shape how leading brands engage millions of customers.
- Growth: Collaborate with industry veterans and learn from the best.
- Innovation: Experiment with cutting-edge ML models and infrastructure.
- Culture: We value ownership, iteration, and continuous learning—your voice matters.
This role is a fully remote role but you MUST be based in US and eligible to work without sponsor. Bonus points if you can occasionally get to New York. The position will pay $200-250k + equity
Vacancy posted 24 days ago
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