Forward Deployed Engineer - ML

Modal
San Francisco, Stockholm, New York
Workplace: OnsiteFull timeUSD 180,000 - 250,000 annuallyFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Presentation","Communication","Customer-facing","Negotiation","Problem-solving"]

Forward Deployed ML Engineer to partner with the sales team, lead technical discovery with enterprise customers, and design compelling ML/AI infrastructure solutions. You’ll present demos, address security and integration concerns, and act as the technical voice in enterprise deals, collaborating with product and engineering to map customer feedback into the roadmap.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Modal
Modal
6 months ago

Forward Deployed Engineer - ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Forward Deployed ML Engineer to partner with the sales team, lead technical discovery with enterprise customers, and design compelling ML/AI infrastructure solutions. You’ll present demos, address security and integration concerns, and act as the technical voice in enterprise deals, collaborating with product and engineering to map customer feedback into the roadmap.
Location: San Francisco, Stockholm, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Partner with Account Executives to identify, qualify, and close strategic enterprise opportunities
  • •Lead technical discovery sessions with prospective customers to understand their current infrastructure, pain points, and requirements
  • •Design and present compelling technical solutions that demonstrate how Modal addresses customer needs
  • •Conduct technical demos, experiments, and proof-of-concepts that showcase Modal's capabilities
  • •Navigate complex technical evaluations and address security, compliance, and integration concerns

Pay and Benefits

Salary: USD 180,000 - 250,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Experience working with AI applications
  • •Understanding of ML/AI infrastructure challenges including model training, inference, and MLOps workflows
  • •Exceptional presentation and communication skills with ability to explain complex technical concepts to both technical and business audiences
  • •Strong business acumen with understanding of enterprise buying processes and procurement
  • •2+ years professional software engineering experience
Experience:2+ yearsAIEnterprise softwareSaaS
Skills:PresentationCommunicationCustomer-facingNegotiationProblem-solving
Tech Stack:ServerlessContainersML infrastructureGPUMLOps

Company Brief

Modal
Provides a serverless, high-performance cloud platform for AI, ML, and data workloads — offering instant autoscaling, elastic GPU access, and developer-first tooling to run inference, training, and batch jobs at scale.
Industry: Cloud Computing
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: New York City, United States
Founded: 2021
WebsiteLinkedIn