Serable · 1 day ago
Machine Learning Engineer
San Francisco Bay Area
Full-time
Onsite
Mid, Senior Level
$200K/yr - $550K/yrSerable is a seed-stage startup focused on building intelligent agents in complex environments. The Machine Learning Engineer will design and implement ML models for agent-based systems, emphasizing generative models and collaborating with a technical team to translate research into practical applications.
Staffing & Recruiting
Responsibilities
Design, implement, and train ML models for agent-based systems, with a focus on generative and diffusion-based approaches
Develop agents that reason over visual, spatial, or multi-modal inputs
Translate cutting-edge research into practical implementations, balancing experimental rigor with real-world constraints
Collaborate closely with researchers and engineers in a small, highly technical team
Contribute to model evaluation, benchmarking, and iterative improvement of agent behavior
Write clean, maintainable, and well-tested code suitable for long-lived systems
Qualification
Required
Strong background in machine learning, with hands-on experience training and evaluating modern models
Experience with diffusion models, generative models, or closely related probabilistic methods
Familiarity with agent-based systems, such as embodied agents, reinforcement learning agents, or reasoning-driven systems
Experience working with computer vision, multi-modal models, or perceptual pipelines
Solid software engineering skills (Python required; experience with ML infrastructure, data pipelines, or performance optimization is a plus)
Prior experience in an AI research lab, applied research team, or research-driven startup
Ability to read, implement, and extend ideas from academic papers
Comfort operating across the research–engineering boundary, especially in an early-stage environment
Clear evidence of unusual depth, speed, or originality in solving hard technical problems
Preferred
Experience with reinforcement learning, world models, or planning under uncertainty
Exposure to robotics, simulation environments, or embodied AI platforms
Education from a top-tier technical program or equivalent demonstrated rigor
Notable performance in math, programming, or ML competitions (e.g., Olympiads, ICPC, Kaggle)
Graduate-level research experience (Master's or PhD), though not required
Experience scaling training workloads or working with GPU-accelerated systems
Company
Serable
We connect top talent with great brands and make the hiring process feel human.
Founded in 2021
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase