AWS, Azure, Data Engineering, Deep Learning, Design, Docker, Google Cloud Platform (GCP), HuggingFace, Infrastructure as code, Kubernetes-K8s, Linux Operating system, Machine learning techniques, MLOps tools, MySQL, Optimization, Python Programming, PyTorch, SaaS, Sales, Scikit-learn, TensorFlow, Terraform, Unix Operating system, XGBoost
In this role, you'll be working with the most sophisticated ML teams in the world working on some of the toughest ML problems in computer vision, robotics, natural language processing, and more. This specific role will be focusing more on W&B’s engagement with Prospective customers who are evaluating W&B for their use case. You'll have the opportunity to work with ML teams across multiple industries to uncover their ML needs, improve their ML workflow, explore how W&B fits into their environment, collaborate on projects, and educate them on the best practices of our product. Specifically, the person in this role will be responsible for assessing the prospective customer’s technical requirement and specification, demonstrate W&B functionality that highlights those capabilities, designing and executing proof of values (as needed) and securing a technical success in the evaluation process.
Machine Learning Engineers on our customer success teams are critical to the success of our customers at Weights & Biases. You'll partner with Sales, Support, Product and Engineering teams to own the technical success of the pre-sales evaluation of W&B for our prospective customers, serving as the primary knowledge owner and face to our customers.
This is a perfect opportunity for anyone with machine learning experience, is customer-oriented, and is looking to work with the top ML companies in the world.
Responsibilities:
Requirements:
Strong plus
Our Benefits:
$139,000 - $186,000 a year
The US base pay for this position ranges from $139,000 USD per year in our lowest geographic market up to $186,000 USD per year in our highest geographic market. This position is eligible for additional variable compensation in the form of a bonus or commission component, which is dependent on personal or company performance. Weights and Biases is committed to providing competitive salary, equity, and benefits packages for all full-time employees. Individual compensation will be commensurate with the candidate's experience, qualifications, and geographic location.
We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.
Weights & Biases helps machine learning teams build better models faster. With a few lines of code, practitioners can instantly debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions — and collaborate with their teammates.
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
0-2 year
San Francisco, CA, USA
4-6 year
San Francisco, CA, USA
0-2 year
New York, NY, USA
4-6 year