Baseten

Solutions Engineer

San Francisco, California, United States

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$150,000 – $180,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine LearningIndustries

Requirements

Candidates should have at least 2 years of experience in technical pre-sales, solutions engineering, or customer-facing technical roles, preferably in an ML/AI company. Intermediate experience with Python and a basic understanding of AI/ML concepts, especially around model deployment and inference, are required. Familiarity with open-source ML models and common LLM tools and frameworks, such as LangChain and Hugging Face, is essential. Strong communication skills are necessary to explain technical concepts clearly to diverse audiences, along with a Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Responsibilities

The Solutions Engineer will partner with the sales team to engage prospects and provide technical expertise throughout the early sales cycle. They will help conduct evaluations of Baseten's platform for prospective customers and create customized demonstrations and proof-of-concepts that highlight Baseten's capabilities in solving customer-specific AI deployment challenges. Gathering customer requirements and technical feedback to inform product roadmap decisions is key, as well as identifying common customer pain points and collaborating with product teams to address them. Staying current with industry trends, open-source ML models, and AI deployment best practices is also essential, along with partnering with the Forward Deployed Engineer team to deliver value for strategic customers.

Skills

Python

AI/ML

Model Deployment

Inference

LangChain

Hugging Face

Communication

Pre-sales

Solutions Engineering

Baseten

Platform for deploying and managing ML models

About Baseten

Baseten provides a platform for deploying and managing machine learning (ML) models, aimed at simplifying the process for businesses. Users can select from a library of open-source foundation models and deploy them with just two clicks, making it easier to implement ML solutions. The platform features autoscaling, which adjusts resources based on demand, and comprehensive monitoring tools for tracking performance and troubleshooting. A key differentiator is Baseten's open-source model packaging framework, Truss, which allows users to package and deploy custom models easily. The company operates on a usage-based pricing model, where clients pay only for the time their models are actively deployed, helping them manage costs effectively.

Key Metrics

San Francisco, CaliforniaHeadquarters

2019Year Founded

$58.4MTotal Funding

SERIES_BCompany Stage

AI & Machine LearningIndustries

51-200Employees

Benefits

💰 Competitive compensation: We aim to provide 90th percentile (or better) salaries and equity grants for every team member commensurate with their experience.

🌎 Remote-first work environment: The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. We provide a $1,000 stipend for you to make your home office comfortable and productive.

🏓 Regular in-person team summits: We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better.

🌴 Unlimited PTO: We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's Day.

🏥 Full healthcare coverage: Medical, dental and vision insurance for you and your family.

🍼 Paid parental leave: 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work.

📈 401(k): Company-sponsored 401(k) for you to contribute to.

🧠: Learning and development budget: We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen.

Risks

Increased competition from specialized AI models tailored for specific industries.

Potential over-reliance on Google Cloud Marketplace may limit flexibility and control.

Rapid AI model development could render Baseten's offerings obsolete without continuous innovation.

Differentiation

Baseten offers a serverless backend for machine-learning applications with auto-scaling.

Truss, an open-source model packaging framework, allows seamless deployment of custom models.

Baseten's platform provides comprehensive monitoring tools for efficient model performance tracking.

Upsides

Integration with Google Cloud Marketplace boosts visibility and customer acquisition potential.

$40M Series B funding enhances Baseten's platform capabilities and market reach.

Chains framework positions Baseten for complex AI workflows, attracting sophisticated projects.

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