Clera
Founding Engineer - ML Research
About this role
Join an early-stage AI/ML company as a founding engineer to design and train advanced machine learning models including LLMs and diffusion models. You'll build scalable experimentation pipelines, collaborate across teams to optimize training, and establish research standards while working directly with the founding team in Mountain View.
What you'll do
- Design, train, and evaluate ML models including LLMs, diffusion models, and domain-specific architectures
- Develop scalable experimentation pipelines for data, model training, and evaluation workflows
- Optimize training throughput and data quality in collaboration with data and infrastructure teams
- Contribute to internal benchmarks, open research, and emerging techniques in multimodal and generative AI
- Prototype research insights rapidly and productionize them into usable tools and models
- Establish foundational standards for research rigor, documentation, and reproducibility
What they're looking for
- PyTorch, JAX, or TensorFlow
- Transformer and diffusion model architectures
- RLHF and model fine-tuning
- Distributed training and optimization
- Data processing and evaluation metrics
- Research-to-production workflow management
- Multimodal and generative AI techniques
- Synthetic data and agentic systems
Benefits
- Founding-level opportunity to shape AI research culture
- Work directly with founding team on frontier AI problems
- On-site location in Mountain View, California
- Exposure to emerging ML paradigms and cutting-edge research
- High-impact role building from zero to one
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
View all jobs at CleraLikely interview questions
- Describe a research paper you've implemented from scratch and the challenges you encountered moving it to production code.
- How have you optimized distributed training pipelines for large-scale models, and what bottlenecks did you address?