Senior Machine Learning Engineer

4 weeks ago

New York, New York, United States Baseten Full time
About Baseten

We're a rapidly growing team of engineers and scientists backed by top-tier investors, including IVP, Spark Capital, Greylock, and Sarah Guo at Conviction.

Our customers, such as Descript, Patreon, Writer, and Robust Intelligence, use Baseten's open-source Truss system to power their core production workloads with best-in-class performance, security, and reliability.

We've unlocked product-market fit and secured Series B funding, but the ML infrastructure market is massive, and we're just getting started.

If you're excited to work on engaging and relevant problems while building something new from the ground up, come join us.


The Role

As a Forward-Deployed Engineer at Baseten, you will partner with our customers to understand their problems and engineer ML solutions using Baseten's open-source Truss system.

This role provides a unique front-row view into the opportunities and challenges facing companies implementing ML and AI solutions at scale.

This role can be particularly relevant for entrepreneurial individuals who desire to apply that experience in a highly technical role.


Responsibilities:


Develop and maintain software systems 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.

Collaborate with cross-functional teams to understand and implement AI/ML pipelines, including the lifecycle of ML model development and deployment.

Communicate effectively on complex technical topics, ensuring clarity and understanding across different stakeholders.

Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack.

Own products and projects end-to-end, functioning as both an engineer and a project 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.


Requirements:


Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.

3+ years of work 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.


Benefits:


Competitive compensation package (unlimited PTO, 401k, covered healthcare premiums).

A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.

An inclusive and supportive work culture that fosters learning and growth.

Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

We are committed to fostering a diverse and inclusive workplace.

We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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