Senior Software Engineer, Weights & Biases
Metrics and Storage
$177-245k
+ Equity
MLOps platform for developers
Open for applications
MLOps platform for developers
201-500 employees
Open for applications
$177-245k
+ Equity
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- 5+ years of software development experience working on high scale APIs
- A demonstrated record of leading complex projects to success, from planning to execution
- A proven ability to mentor and grow junior engineers
- Deep experience designing and scaling customer facing APIs in production, preferably leveraging systems like MySQL/Postgres, Bigtable, Kafka, etc
- Excellent communication skills and an ability to explain deeply technical concepts simply
- Strong grasp of at least one higher-level language and its ecosystem (Go, Python, TypeScript, etc.)
- A willingness to dive into and debug issues at any layer of the tech stack, from the application layer to the network
- A demonstrated ability to think critically under pressure
What the job involves
- In this role you’ll lead efforts to scale our metrics and storage engines to the needs of our rapidly growing userbase
- You’ll be instrumental in the evolution of our platform as we grow to ingest and query petabytes of data by making technical decisions that maximize the performance, reliability, and cost-effectiveness of our systems
- Scale a platform trusted by leaders in the ML industry to ingest and query terabytes of data daily
- Define the architecture for our next-generation data ingestion and querying systems to achieve high performance and reliability
- Advise and educate development teams on how to build and operate scalable, performant services
Our take
Weights & Biases (W&B) builds development tools for machine learning, helping businesses to create and use deep learning models. In order for deep learning to work, it’s necessary for companies to be able to monitor how the models are behaving as they are trained. With over 200,000 customers, W&B has differentiated itself from its competitors such as IBM Watson Studio and Valohai by focusing exclusively on machine learning practitioners and not on sales aspects of the technology, and by its competitive pricing.
The company has also launched a product to help different parties collaborate on machine learning models. This is geared at researchers, reducing the need for them to rerun their training examples repeatedly. Over time, this will help to move machine learning technology forward. What's more, W&B's technology is free for personal and academic use, which has fueled adoption enormously, and it is now being used by research institutions such as UC Berkeley and enterpise companies like Samsung and Salesforce.
The dependence on machine learning is growing as more and more companies begin to use artificial intelligence to handle business tasks, so demand for this sort of software is rising. Having raised substantial funding, W&B is moving to futher develop its product, grow its team and increase its marketing reach.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Aug 2023
$50m
LATE VC
Oct 2021
$135m
SERIES C
Total funding: $250m
Company benefits
- 🏝️ Unlimited vacation time
- 🩺 100% Medical, Dental, and Vision for employees and Family Coverage
- 🏠 Remote first culture with in-office flexibility in San Francisco
- 💵 $500 home office budget with new high-powered laptop
- 🥇 Truly competitive salary and equity
- 🚼 12 weeks of Parental leave
- 📈 401(k)
Company values
- We're building a culture where people love coming to work to build cool things and collaborate with other smart people
- It’s important to us that everyone feels comfortable being themselves and being honest with each other, and all of us take responsibility for making our customers successful
- We love to work with people who are driven, kind and proactive
- We care about diversity and if you are part of an underrepresented minority, we especially encourage you to apply to work here
- We are contributing to responsible AI with tools for transparency and reproducibility in model development and deployment
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Chris Van Pelt
(CISO)Earned a BA in Computer Science at Hope College. Previously Lead Engineer and Founder of Figure Eight (acquired by Appen).
Lukas Biewald
(CEO)Earned a BS in Mathematics and MS in Computer Science from Stanford University. Previously Research Scientist and Founder, CEO of Figure Eight (acquired by Appen).
Shawn Lewis
(CTO)Earned his BS in Computer Engineering at Virginia Tech. Previously Engineer at Google and Founder at Beep Networks.
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