About this role.
Reka is hiring a Machine Learning Member of Technical Staff to develop large, multimodal deep-learning models across the full model-development lifecycle. The role covers dataset preparation, architecture design, implementation, distributed training, evaluation, and product-focused model improvement. It requires strong practical experience with large-scale ML systems and frameworks such as PyTorch or JAX. The position is suited to an adaptable engineer-researcher who can work autonomously in a fast-moving foundation-model startup while collaborating closely with researchers and engineers.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
5/5Pace & Pressure
5/5Autonomy Level
5/5Communication Load
4/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
I would outline the model architecture, dataset scale and quality controls, compute environment, and evaluation goals. I would then explain trade-offs such as model size versus latency or cost, data diversity versus noise, and training stability versus throughput, supported by measured outcomes.
I would first validate data integrity, preprocessing, labels, and batching, then inspect loss curves, gradient norms, activations, and optimizer state. I would test learning-rate schedules, precision settings, normalization, gradient clipping, initialization, and distributed-training configuration through controlled experiments.
I begin by defining product metrics, constraints, and failure modes, then reproduce the result with versioned data and experiments. I build robust evaluation and monitoring, optimize serving behavior, document assumptions, and partner with engineering teams to deploy and iterate safely.
I would combine benchmark performance with task-specific offline evaluation, qualitative error analysis, robustness testing, and safety checks. The evaluation set should represent real user scenarios, include difficult edge cases, and use clear success metrics that can be monitored after release.
I clarify the highest-impact decision to make, state assumptions explicitly, and propose a small experiment or prototype that reduces uncertainty quickly. I communicate results and risks early, update priorities with stakeholders, and maintain enough documentation for the team to build on the work.
As a Member of Technical Staff on Machine Learning, you will:
Contribute to the entire development cycle of our cutting-edge large deep learning models.
Prepare datasets, design architectures, implement solutions, train and evaluate models to improve our products.
Collaborate closely with engineers and researchers to translate cutting-edge research into practical applications.
Join us at an exciting moment, wear many hats and help us build something from the ground up!
You may be a good fit, if you have:
Experience with training and evaluating large deep learning models.
Proficiency in standard deep learning frameworks (e.g. PyTorch, JAX).
Proven track record of applying and implementing machine learning algorithms into software applications at scale.
The ability to build in a fast-paced environment under some uncertainty.
A kind and collaborative nature and work style.
Reka’s Mission
Reka’s mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
Why Reka?
An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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