Core Product Software Engineer — ML Inference & APIs
Baseten
New York (NY)
On-site
USD 150,000 - 230,000
Full time
14 days+
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Benefits offered by this job
Competitive compensation including meaningful equity.
100% coverage of medical, dental, and vision insurance.
Generous PTO policy including company-wide Winter Break.
Paid parental leave.
Company-facilitated 401(k) plan.
Exposure to various ML startups.
Job summary
A dynamic AI platform company in New York is looking for a Software Engineer to join their Core Product team. In this role, you'll be responsible for building and maintaining core product features, enabling users to effectively deploy machine learning models. As a developer-oriented position, strong coding skills in languages like Python and a passion for ML are essential. The role offers competitive compensation and benefits including 100% insurance coverage and generous PTO policies.
Qualifications
1-3 years experience in software engineering or infrastructure.
Proficient coding abilities in one or more popular programming or scripting languages.
Good taste in product, particularly developer-oriented tools.
Responsibilities
Implement new features and products for the team.
Design ergonomic APIs and abstractions to solve customer problems.
Work closely with product and engineering teams.
Skills
Coding proficiency in Python, Go, or JavaScript
Strong collaboration and communication skills
Familiarity with web applications
Interest in ML/AI infrastructure
Education
Bachelor's degree or higher in Computer Science or related field
Job description
A dynamic AI platform company in New York is looking for a Software Engineer to join their Core Product team. In this role, you'll be responsible for building and maintaining core product features, enabling users to effectively deploy machine learning models. As a developer-oriented position, strong coding skills in languages like Python and a passion for ML are essential. The role offers competitive compensation and benefits including 100% insurance coverage and generous PTO policies.