Modal

Forward Deployed Engineer - ML

Modal4 weeks ago
Location

Stockholm

Type

Full Time

Salary

SEK 120,000 – 180,000

Level

Senior

Role

ML Engineer

Posted

Mar 3, 2026

Full TimeSenior

The role

Summary

Modal is seeking a Forward Deployed ML Engineer to work directly with cutting-edge AI companies, helping them optimize production AI workloads using Modal's infrastructure platform. The ideal candidate will partner with technical leaders to architect sophisticated ML solutions, contribute to open-source projects, and drive customer success in AI infrastructure.

What you'll do

Customer Engagement: Work directly with leading AI companies like Suno, Lovable, Cognition, and Meta to architect and optimize production AI workloads on Modal's platform
Technical Demonstration: Conduct technical demos, experiments, and proof-of-concepts to showcase Modal's performance advantages and capabilities
Open-Source Contribution: Contribute to open-source projects, including active involvement with SGLang, and publish technical content demonstrating Modal's AI stack capabilities
Cross-Functional Collaboration: Collaborate with Modal's product and sales teams, providing engineering insights and product stakeholder perspectives
Relationship Building: Develop trusted relationships with technical leadership at frontier AI companies, including CTOs, VPs of Engineering, and ML leads

What we look for

Technical

ML Engineering ExperienceMinimum 2+ years of professional ML engineering experience with hands-on work in inference optimization, model training, GPU programming, or ML infrastructure
ML Toolchain ExpertiseDeep familiarity with serving (e.g., vLLM, SGLang) and training (e.g., slime, verl, TRL) toolchains, with expertise in at least one domain

Education

Advanced DegreeBachelor's or Master's degree in Computer Science, Machine Learning, Software Engineering, or related technical field preferred

Experience

AI InfrastructureProven experience in optimizing machine learning workloads and understanding complex AI infrastructure challenges
Customer SolutionsDemonstrated ability to understand and solve complex technical problems for enterprise customers

Skills

Required skills

Machine LearningStrong understanding of ML model training, inference, and optimization techniques
GPU ProgrammingExperience with GPU-accelerated computing and performance optimization
Technical CommunicationAbility to articulate complex technical architectures and tradeoffs to technical leadership

Nice to have

Open-Source ContributionsActive participation in open-source ML or systems performance projects
Research BackgroundAcademic or industry research experience in machine learning or computational systems

Compensation & benefits

Salary

SEK 120,000 – 180,000 (annual)

Stock options

Available

Benefits

Cutting-Edge Technology

Work with advanced AI infrastructure and innovative cloud computing technologies

Professional Growth

Opportunities to grow within a fast-growing AI infrastructure organization

Startup Environment

Join a well-funded startup with significant Series B backing and rapid growth

Interview process

  1. 1
    Initial Screening — Resume review and initial phone/video call with recruiter
  2. 2
    Technical Assessment — Technical interview focusing on ML infrastructure, systems design, and problem-solving skills
  3. 3
    Customer Simulation Interview — Interview simulating customer engagement and technical solution design
  4. 4
    Final Interview — Meeting with technical leadership and team members to assess cultural fit and technical expertise
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Modal

Modal

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Modal is a cloud computing platform that enables developers to build, deploy, and scale applications without managing underlying infrastructure. The company provides serverless computing solutions that allow developers to run code on demand, handle background jobs, and deploy machine learning models with minimal operational overhead. Modal serves software developers and organizations looking to streamline their application development and deployment processes in the cloud.

San Francisco, USAFounded 2021modal.com

Tech Stack

Languages
Python
Frameworks
PyTorchTensorFlow
Tools
vLLMSGLang
Other
GPU ComputingCloud Infrastructure
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