Serable · 1 day ago
Machine Learning Researcher
San Francisco Bay Area
Full-time
Onsite
Senior Level
$250K/yr - $425K/yr
5+ years expSerable is a high-growth, venture-backed company recognized for meaningful traction in its market. They are seeking a Senior Machine Learning Researcher to lead and execute applied research efforts, focusing on synthetic data generation and reinforcement learning.
Staffing & Recruiting
Responsibilities
Lead and contribute to applied machine learning research initiatives, with an emphasis on synthetic data generation, simulation, and reinforcement learning
Design, implement, and evaluate models that improve data quality, model robustness, and system performance in real-world environments
Develop reinforcement learning approaches (e.g., model-based RL, offline RL, or multi-agent RL) tailored to practical constraints and production use cases
Create and validate synthetic datasets to augment or replace real data while preserving statistical fidelity and downstream performance
Collaborate closely with engineering, product, and applied ML teams to transition research prototypes into scalable systems
Analyze experimental results rigorously and communicate findings clearly to both technical and non-technical stakeholders
Stay current with relevant academic and industry research, selectively incorporating new methods where they deliver tangible value
Qualification
Required
5+ years of experience in machine learning research, applied ML, or a closely related role
Strong background in reinforcement learning and probabilistic or generative modeling, with hands-on implementation experience
Demonstrated experience generating and using synthetic data in applied settings (e.g., simulation, data augmentation, privacy-preserving data, or robustness testing)
Master's or PhD in Computer Science, Machine Learning, Statistics, Robotics, or a related field, or equivalent industry experience with a strong applied research track record
Proven ability to move beyond pure research and deliver solutions that perform in production environments
Strong programming skills in Python; experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow)
Solid understanding of experimental design, evaluation methodologies, and failure analysis
Preferred
Experience working at a VC-backed startup or fast-growing technology company
Publications in top-tier conferences or journals, balanced with demonstrable industry impact
Experience with simulation environments, large-scale experimentation, or distributed training
Exposure to privacy-preserving ML, domain randomization, or model robustness techniques
Company
Serable
We connect top talent with great brands and make the hiring process feel human.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase