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Senior Machine Learning EngineerSW5 ConsultingUnited States
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Senior Machine Learning Engineer

SW5 Consulting
  • US
    United States
  • US
    United States

À propos

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
  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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