Senior Customer Success Machine Learning Engineer, Federal - Washington, D.C.

Responsibilities:

• Pre-Sales: Partner with the Head of Federal to serve as the technical lead for pre-sale engagements designing and executing public sector-oriented initiatives to demo and show the capabilities of Weights & Biases to meet government requirements
• Pre-Sales: Provide in-depth demonstrations, articulating best practices for implementing ML pipelines tailored to federal use cases
• Pre-Sales: Partner with GTM team to manage pre-sales requirements from each stage and tactically drive those motions
• Post Sales: Lead coordination in partners with W&B’s solution architecture team to help federal customers in deploying, configuring, and optimizing Weights & Biases solutions, ensuring success in their unique environments
• Cross-Functional: Act as a bridge between federal customer needs and internal teams, providing insights and feedback for product development and prioritization.
• Cross-Functional: Engage with Product, Engineering, and Support teams to ensure that federal-specific requirements are incorporated into our product roadmap.
• Cross-Functional: Guide customers in adapting Weights & Biases solutions to meet federal regulations, including FedRAMP and DoD standards.
• Cross-Functional: Stay informed on relevant federal compliance standards, enabling federal teams to maintain adherence to regulations across deployments

Requirements:

• Up to 8 years of relevant experience in a similar role working with the public sector or with government clients
• Based in the D.C. metro area
• Experience using one or more of the following packages: TensorFlow/Keras, PyTorch Lightning
• Strong programming proficiency in Python and willingness to work “hands-on keyboard” to help practitioners see the value of W&B’s platform
• Ability to adapt machine learning solutions to meet federal compliance standards and an understanding of what it takes to get the technical win in the government market
• Excellent communication and presentation skills, both written and verbal, with a focus on explaining technical concepts within the context of federal guidelines
• Ability to effectively manage multiple conflicting priorities, respond promptly, and manage time effectively, often impacted by the lengthy timelines and layered approval processes typical of public sector engagements
• Ability to break down complex problems and resolve them through customer consultation and execution
• Experience with cloud platforms (AWS, GCP, Azure), preferably in environments compliant with FedRAMP or government standards
• Experience with Linux/Unix

Strong plus

• Active US Government Security Clearance
• A current Secret or TS/SCI clearance
• A current CI-poly (Counterintelligence polygraph)- Helping customers move on-prem to cloud
• Proficiency with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray
• Experience with hyperparameter optimization solutions
• Experience with data engineering, MLOps and tools such as Docker and Kubernetes
• Experience with data pipeline tools

Our Benefits:

• 🏝️ Flexible time off
• 🩺 Medical, Dental, and Vision for employees and Family Coverage
• 🏠 Remote first culture with in-office flexibility in San Francisco
• 💵 Home office budget with a new high-powered laptop
• 🥇 Truly competitive salary and equity
• 🚼 12 weeks of Parental leave (U.S. specific)
• 📈 401(k) (U.S. specific)
• Supplemental benefits may be available depending on your location
• Explore benefits by country