At Weights & Biases our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications.
Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1000 customers and more than 30 foundation model builders including customers such as OpenAI NVIDIA Microsoft and Toyota.
Weave is our new lightweight toolkit for tracking and evaluating GenAI applications. Our users are relying on Weave to understand and improve their AIpowered applications. Theyre on the cutting edge building Agents Retrieval Augmented Generation (RAG) systems and more.
Were looking for a software engineer to help build Weave. Youll play a foundational role on this small but growing team developing a new generation of tools for the most consequential emerging market today. Youll ship core functionality gather feedback directly from early users and use your own intuition to continually improve the product.
If you have a strong interest in GenAI love building and shipping quickly and enjoy talking to users this is the perfect role for you.
What youll achieve (Responsibilities)
Implement robust and ergonomic opensource client APIs.
Design and implement integrations with popular LLM tools such as LlamaIndex Langchain and Instructor.
Scale and improve our backend performance to support low latency and high volume production use cases.
Build polished and delightful features such as multimodal evaluations LLM playgrounds and dataset editing/drilldown capabilities.
Actively meet with and iterate based on customer feedback understanding their workflows and addressing key pain points.
What were looking for (Requirements)
Bachelors degree in Computer Science or related field.
4 years or more of prior experience in Software Engineering.
Deep knowledge of Python and/or TypeScript.
Experience (personal or professional) building GenAIpowered applications.
Ability to operate effectively amid ambiguity and adapt rapidly to a changing business. environment. Previous startup experience a plus.
Bonus points: Experience managing largescale online production services or OLAP databases.
Why join us
Toptier machine learning teams rely on our tools for their daily work at companies including OpenAI Toyota Research Institute Lyft Samsung and Pandora.
Youll never stop learning. This role gives you firsthand experience talking with leading researchers in the field understanding their problems and directly shaping the product direction.
Our experienced founding team has successfully built and sold ML tools in the past at Figure Eight and their deep knowledge of our industry empathy for our users and skillful management is driving W&B to success.
Customers genuinely benefit from our tool. Heres a quote from Wojciech Zaremba Cofounder and Robotics Lead OpenAI: W&B allows to scale up insights from a single researcher to the entire team and from a single machine to hundreds of them.
Our Benefits
Flexible time off
Medical Dental and Vision for employees and Family Coverage
Home office budget with a new highpowered 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
$177000 $245000 a year
This position has an annual estimated salary of $177000 $245000 per year. Weights & Biases is committed to providing competitive salary equity and benefits packages for all fulltime employees. The actual pay may vary depending on your skills qualifications experience and work location.
We encourage you to apply even if your experience doesnt 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
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