Inference is everything. Baseten is an AI infrastructure platform giving you the tooling, expertise, and hardware needed to bring great AI products to market - fast.
Our proprietary Inference Stack utilizes the cutting-edge of performance research combined with highly performant and reliable infrastructure to give you out-of-the-box global availability with 99.99% of uptime.
Rating Reviews
Rating is calculated based on
3
reviews and is evolving.
Pros: Working as a Software Engineer at Baseten has been a great experience for my career. I've learned a ton about building AI/ML platforms and working with cutting-edge tech, which is fantastic for professional development in the software industry. The team is really collaborative and smart, and I feel supported when tackling complex problems. It's a stimulating environment, and the hybrid work model in San Francisco gives good flexibility.
Cons: Since it's a growing tech startup, things can move quickly, and sometimes the pace can get pretty intense, leading to occasional busy periods. The rapid growth also means some processes are still being refined, so communication flow isn't always perfect across all teams, which can sometimes slow down approvals.
Advice to Management: Continue to focus on improving cross-team communication and streamlining internal processes as the company scales. Investing in career pathing for mid-level engineers would also be beneficial.
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Pros: I liked the fast pace and working on interesting AI infrastructure problems. As a Machine Learning Engineer, I got to deploy challenging machine learning models. The remote work setup is a huge plus, giving good flexibility.
Cons: It's definitely a startup, so things can change quickly. Sometimes, the communication isn't super clear across teams. You really have to drive your own career growth; it isn't handed to you.
Advice to Management: Try to improve cross-team communication and provide clearer career pathing, especially for MLOps professionals.
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Pros: I've learned so much as a Software Engineer working on ML deployment tools. You get hands-on experience with cutting-edge MLOps tech. The team is really smart and supportive, so you're always picking up new skills.
Cons: My main issue is career growth feels a bit undefined here. There isn't a super clear path for engineering roles to advance past a certain point. It's a fast-paced startup, so things change, making long-term planning tougher.
Advice to Management: Focus on building out more structured career progression for individual contributors. It would help engineers see their future better at this company.
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What is Baseten's policy on remote work for their engineering roles, and is there flexibility for fully remote positions within the US?
Baseten offers a hybrid work model, with many engineering roles having the option to work remotely within the United States. While some in-office presence may be expected for specific teams, the company generally supports flexible arrangements to accommodate work-from-home preferences.
Does Baseten offer remote work options for its engineering roles, or is it primarily an in-office position in San Francisco?
Baseten supports a hybrid work model, allowing for flexibility for roles like software engineers. While the company is based in San Francisco, employees have the option to work remotely for a portion of the week, balancing in-office collaboration with remote productivity.
What is the day-to-day working culture like at Baseten, especially for remote engineers?
The culture at Baseten is collaborative, with a strong emphasis on learning and development, even for remote team members. You'll find engineers actively discussing technical challenges and sharing knowledge in a supportive online environment.
