About
We offer comprehensive medical and dental coverage, $50 a day food delivery budget, equity based employment, a great culture, learning opportunities, unlimited vacation, 12 weeks paid parental leave, and we pay all employees $1,000 a year to go somewhere in the world that they've never been because of our values of human connection, empathy, and curiosity.
Responsibilities
Design and implement machine learning models to power highly personalized experiences throughout the Raya app Work in a high-impact environment with rapid development and product iteration Contribute to core ML platform components for scalable model training, deployment, and productionization Collaborate closely with cross functional stakeholders in data science, product management, and other engineering teams to shape roadmaps and initiatives Stay up-to-date with the latest research and advancements in recommendation systems and AI >
Qualifications
5+ years of experience in machine learning, recommendations/ranking systems, computer vision, multimodal representation learning, and/or natural language processing Proven track record of delivering machine learning models with business impact and shipping ML solutions to production Strong background in Python programming and ML frameworks like PyTorch, TensorFlow, Transformers, etc. Proficiency with ML platforms and tools for model experimentation, deployment, and monitoring Well-versed in software engineering design patterns, principles, architectures, and operations Experience with data processing at scale, including batch/streaming pipelines and data infrastructure tools like Kubernetes, Kafka, and Spark Excellent verbal and written communication skills with the ability to communicate complex topics to technical and non-technical stakeholders >
$180,000 - $250,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Languages
- English
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