Baseten Logo

Baseten

AI Inference Engineer

Posted 23 Days Ago
Remote or Hybrid
Hiring Remotely in Toronto, ON
165K-330K Annually
Junior
Remote or Hybrid
Hiring Remotely in Toronto, ON
165K-330K Annually
Junior
Partner with customers to architect, build, and deploy high-scale production AI applications. Translate ambiguous goals into reliable, observable services, implement end-to-end model deployment and monitoring, optimize ML projects, and own customer-facing technical delivery and product outcomes.
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 to ship AI products.

THE ROLE

As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes.

This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations.

To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in.

EXAMPLE INITIATIVES

Take a look at these blog posts written by members of our Forward Deployed Engineering team:

  • Forward Deployed Engineering on the frontier of AI

  • The fastest, most accurate Whisper transcription

  • Deploy production-ready model servers from Docker images

  • Deploy custom ComfyUI workflows as APIs


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.

REQUIREMENTS

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

  • 2+ 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.

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

19 Days Ago
Remote
United States
Mid level
Mid level
Artificial Intelligence • Hardware • Software • Semiconductor
Integrate, validate, and productionize cross-stack inference features across AI frameworks, runtime, compiler, kernels, distributed systems, and hardware. Drive zero-to-one projects, debug system-wide failures, manage accelerated timelines, and improve automation, diagnostics, and repeatable integration practices while collaborating across software and hardware teams.
Top Skills: Ai FrameworksC++Cloud InfrastructureCluster OrchestrationCompilersContainersDistributed SystemsGoHigh-Performance ComputingKernelsLlmsMicroservicesObservabilityPerformance DebuggingProfilingPythonRuntimes
3 Hours Ago
Remote or Hybrid
103K-128K Annually
Expert/Leader
103K-128K Annually
Expert/Leader
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead sourcing for flexible packaging including strategy development, supplier relationship management, value creation (cost, quality, sustainability), risk management, digital sourcing, and stakeholder engagement across markets.
Top Skills: E-AuctionsE-Sourcing PlatformsExcelGenerative AiPower BIRfxTableau
5 Hours Ago
Easy Apply
Remote
Easy Apply
132K-282K Annually
Expert/Leader
132K-282K Annually
Expert/Leader
Cloud • Security • Software • Cybersecurity • Automation
Lead cross-functional Developer Experience initiatives across six teams, contributing hands-on backend code in Ruby and Go. Improve testing reliability, test coverage, CI/CD pipelines, logging standards, and development environments. Partner with engineering, platform, product, and infrastructure teams to identify friction, remove systemic bottlenecks, shape the Developer Experience Platform strategy, and foster continuous engineering improvement.
Top Skills: Ci/CdDevOpsGoLogging LibrariesRubyTest Coverage ReportingTesting Frameworks

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account