Baseten Logo

Baseten

Software Engineer - Dedicated Inference

Reposted 17 Days Ago
Hybrid
Montréal, QC, CAN
Junior
Hybrid
Montréal, QC, CAN
Junior
As a Software Engineer, you'll build and maintain Baseten's core product, design APIs, implement features, fix issues, and collaborate with teams.
The summary above was generated by AI

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs, observability, and debugging workflows, you'll build the tools customers rely on every day to manage mission-critical inference deployments.

Few teams at Baseten have as much breadth and visibility as Dedicated Inference. The team is often at the forefront of new product development, giving engineers the opportunity to shape the experience of some of our most important customers.

EXAMPLE INITIATIVES

You'll get to work on these types of projects as part of our Dedicated Inference team:

  • Chains for multi-component workflows

  • Asynchronous inference

  • Model APIs for frontier models

  • Model training built for production inference

RESPONSIBILITIES

  • Implement new features and products for the team

  • Design ergonomic APIs and abstractions to solve customer problems

  • Fix bugs and resolve customer issues with urgency

  • Work across the stack - regardless of where you start, you’ll end up touching both React Components and Kubernetes Pods

  • Work closely with the product and forward deployed engineering teams to develop and drive new product ideas

REQUIREMENTS

  • Bachelor's degree or higher in Computer Science or related field

  • Proficient coding abilities in one or more popular programming or scripting languages; Python, Go, or JavaScript proficiency is a plus

  • Familiarity with web applications & databases

  • Good taste in product, particularly developer-oriented tools

  • Interest in ML/AI infrastructure and willingness to learn

  • Strong collaboration and communication skills

BENEFITS

  • Competitive compensation, including meaningful equity

  • 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Fertility and family-building stipend through Carrot

  • Company-facilitated 401(k)

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

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, 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.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Similar Jobs

Entry level
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provides personalized styling advice, product recommendations, and customer service in a Kate Spade retail store. Responsibilities include driving sales through customer engagement and storytelling, completing POS transactions, maintaining stockroom organization, supporting virtual selling, and collaborating with the team. The role requires flexible scheduling, retail experience, strong communication skills, and the ability to perform physical tasks such as lifting, bending, and maneuvering through sales and stockroom areas.
Top Skills: Pos
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Lead analyst responsible for managing a portfolio of Canadian banks, non-bank financial institutions, and credit unions. Perform ongoing financial and credit analysis, prepare rating committee presentations, reports and press releases, attend issuer meetings, participate in rating committees, and maintain client relationships. Produce surveillance, research, and written analysis while collaborating with the ratings team.
Top Skills: Bloomberg
3 Days Ago
In-Office
Senior level
Senior level
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Leads functional systemization and solution design for radio and wireless communication products. Translates customer, market, regulatory, and product requirements into system requirements, interfaces, behaviors, and acceptance criteria. Leads feasibility studies, architecture evaluations, and technical investigations; provides recommendations, root-cause analysis, and technical leadership across hardware, software, security, verification, and product management teams. Supports secure-by-design development, compliance, planning, prioritization, mentoring, and global stakeholder alignment.
Top Skills: CybersecurityRadio Access Networks (Ran)TelecommunicationsWireless Communication Systems

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account