Applied AI Inference Engineer at Baseten

San Francisco, California, United States

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$160,000 – $275,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field
1+ years of professional work experience in a fast-paced, high-growth environment
Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python
Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment
Strong communication skills, particularly on complex technical topics
Experience in building or optimizing AI/ML projects is highly valued

Responsibilities

Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects
Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion
Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers
Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs
Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution
Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity
Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates

Skills

Key technologies and capabilities for this role

PythonAIMachine LearningInferenceSoftware DevelopmentProduction DeploymentDockerAPIsPerformance EngineeringLatency OptimizationCustomer EngineeringWhisperComfyUI

Questions & Answers

Common questions about this position

What is the salary range for the Applied AI Inference Engineer position?

The salary range is $160K - $275K.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills are required for this role?

The role requires experience developing and maintaining software systems using general-purpose programming languages, with a preference for Python, hands-on coding in production environments, and skills in designing, implementing, and deploying AI/ML solutions end-to-end.

What is the company culture like at Baseten?

Baseten fosters an entrepreneurial environment for engineers who enjoy hands-on coding mixed with product management, technical customer success, and pre-sales, emphasizing ownership, user empathy, navigating ambiguity, and delivering with velocity for AI companies at scale.

What makes a strong candidate for this Applied AI Inference Engineer role?

Strong candidates are entrepreneurial engineers with hands-on coding experience, who thrive in ambiguity, take end-to-end ownership of customer projects, and can balance engineering, project management, and product management while delivering rapid, high-impact AI solutions.

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.

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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