Full-Time

Senior AI Solutions Engineer

Confirmed live in the last 24 hours

Weight & Biases

Weight & Biases

201-500 employees

AI platform for model development and management

Enterprise Software
AI & Machine Learning

Compensation Overview

$139k - $186kAnnually

Senior

Remote in USA

US Top Secret Clearance Required

Category
Sales Engineering
Solution Engineering
Sales & Solution Engineering
Required Skills
Kubernetes
Microsoft Azure
Python
Tensorflow
Keras
Pytorch
Docker
AWS
Linux/Unix
Google Cloud Platform
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
  • 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
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

Weights & Biases provides a platform designed to help AI developers create more efficient machine learning models quickly. The platform includes tools for tracking experiments, managing workflows, evaluating model performance, and reproducing models, as well as features for version control and dataset iteration. This allows AI teams to conduct more experiments and improve their productivity. Weights & Biases operates on a software-as-a-service model, where clients pay a subscription fee to access its features, ensuring a steady revenue stream. The company stands out in the growing AI and machine learning market by offering a comprehensive solution that simplifies the development process for leading ML teams.

Company Stage

Late Stage VC

Total Funding

$243.2M

Headquarters

San Francisco, California

Founded

2017

Growth & Insights
Headcount

6 month growth

5%

1 year growth

5%

2 year growth

18%
Simplify Jobs

Simplify's Take

What believers are saying

  • W&B's integration with NVIDIA NIM enhances enterprise AI application performance and deployment speed.
  • Winning the Google Cloud Technology Partner of the Year Award boosts W&B's industry credibility.
  • Participation in the NAIRR pilot program positions W&B as a leader in responsible AI innovation.

What critics are saying

  • Cohere's enhanced fine-tuning service may attract enterprise customers away from W&B.
  • NVIDIA's generative AI microservices could reduce demand for W&B's platform.

What makes Weight & Biases unique

  • W&B offers comprehensive ML workflow management, including experiment tracking and model evaluation.
  • The platform integrates with NVIDIA technologies, enhancing AI application deployment and customization.
  • W&B's SaaS model ensures recurring revenue through extended client subscriptions.

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Benefits

🏝️ Unlimited vacation time

🩺 100% Medical, Dental, and Vision for employees and Family Coverage

🏠 Remote first culture with in-office flexibility in San Francisco

💵 $1000 home office budget with new high-powered laptop

🥇 Truly competitive salary and equity

🚼 12 weeks of Parental leave

📈 401(k)