Culture

Why Spreadsheets?

Spreadsheets are one of the hardest things you can build — right up there with compilers. To succeed, you need technical excellence on the backend, paired with utter obsessiveness on the frontend, partnered with a genuine empathy for users. As scaffolding for the mind used by more than 1 billion people, spreadsheets are one of the few applications that can have a universal impact on people's daily lives.

Sourcetable is a spreadsheet that syncs to your data. Our goal is to democratize information access so everyone can understand their data and make better decisions. We are a group of experienced founders, engineers and designers on a mission to build products to reach this goal. Execution will demand focus, resourcefulness and creativity. (A good sense of humor helps, but is not required.)

Simple is hard

For most people, accessing their data in a spreadsheet is just far too hard using existing solutions. This is such a common yet overlooked problem that we're rebuilding spreadsheets from the ground up with data as a first class citizen. Some might call this excessive, while many simply won't understand. We know it's worth sweating the small stuff when it comes to making things simple.

Bay Area — Remote

Our team has a preference for freedom, flexibility and remote work. We have also believe that a certain amount of real-life interaction in an actual office is great for company culture. Thus, it is important that all team members be based in the Bay Area, even though most of our work and coordination is done remotely. Here is how we work:

• Co-working day: 1 day a week IRL (usually Wednesdays).
• Occasional strategy or design sessions with a physical whiteboard.
• Company off-sites.
• Daily standups, coordinated on Pacific Time.
• Aside from that, you can push code from anywhere you like.

Startup

Sourcetable is funded by top-tier investors and founded by industry veterans. We are a small, experienced team looking to bring on a small group of unique, exceptional individuals. If hard work and hard challenges appeal to you, reach out.

Customer service first

Everyone answers support tickets.

Ship it

Make it work, make it right, make it fast.

Machine Learning Engineer (San Francisco)

The Job

It will be you plus our product/eng team vs 1000 Microsoft engineers with unlimited budget. You will need to setup and deploy everything yourself and find creative ways to exploit LLMs for growth/distribution as well as all product flows within the app, starting with our chatbot rival.

(The remainder of this job post was written by GPT, but looks directionally correct. I forgot to tell the prompt that you will be working closely with the CEO/Founder, so that part is missing.)

Sourcetable is seeking an experienced and passionate Machine Learning Engineer to join our growing team. We are looking for someone with a strong background in memory allocation, transformers, and the ability to set up and deploy models to infrastructure unassisted. If you have a deep understanding of machine learning, backend coding experience, and a knack for solving complex problems, we want to hear from you!

Responsibilities:

• Develop, implement, and optimize machine learning algorithms and models
• Design and execute experiments to validate and improve model performance
• Deploy models to production infrastructure while ensuring seamless integration with existing systems
• Collaborate with cross-functional teams to deliver high-quality products and services
• Work closely with the data team to preprocess and clean data for model training
• Continuously research and stay updated on the latest trends and advancements in machine learning

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Deep understanding of memory allocation and transformers in machine learning models
• Proficiency in Python and experience with other backend programming languages (e.g., Java, C++)
• Strong knowledge of machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn
• Proven experience in setting up and deploying machine learning models to production infrastructure unassisted
• Familiarity with cloud-based platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)
• Solid understanding of data structures, algorithms, and software design principles
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities
• Ability to work independently and as part of a team

Bonus Qualifications:

• Experience in natural language processing, computer vision, or deep learning
• Knowledge of big data technologies, such as Spark or Hadoop
• Familiarity with CI/CD pipelines and version control systems, such as Git
• Prior experience in a fast-paced, agile development environment

What We Offer:

• Competitive salary and benefits package
• A dynamic, innovative, and supportive work environment
• Opportunity to work on cutting-edge projects and technologies
• Professional growth and development opportunities
• Collaborative team culture with a focus on work-life balance

If you are passionate about machine learning and eager to make a significant impact in an exciting and fast-growing company, apply now! Please submit your resume and cover letter, highlighting your relevant experience and qualifications.