Description:

The Machine Learning Engineer will be responsible for designing and implementing machine learning models to enhance user experiences within the Raya app.
This role involves working in a high-impact environment that emphasizes rapid development and product iteration.
The engineer will contribute to core machine learning platform components that facilitate scalable model training, deployment, and productionization.
Collaboration with cross-functional stakeholders, including data science, product management, and other engineering teams, is essential to shape roadmaps and initiatives.
Staying current with the latest research and advancements in recommendation systems and AI is a key responsibility.

Requirements:

Candidates must have 3+ years of experience in machine learning, recommendations/ranking systems, computer vision, multimodal representation learning, and/or natural language processing.
A proven track record of delivering machine learning models that have a business impact and successfully shipping ML solutions to production is required.
Strong proficiency in Python programming and familiarity with ML frameworks such as PyTorch, TensorFlow, and Transformers is necessary.
Applicants should have experience with ML platforms and tools for model experimentation, deployment, and monitoring.
A solid understanding of software engineering design patterns, principles, architectures, and operations is essential.
Experience with data processing at scale, including batch/streaming pipelines and data infrastructure tools like Kubernetes, Kafka, and Spark, is required.
Excellent verbal and written communication skills are necessary, with the ability to convey complex topics to both technical and non-technical stakeholders.

The position offers comprehensive medical and dental coverage.
Employees receive a $50 a day food delivery budget.
The role includes equity-based employment and promotes a great company culture.
There are ample learning opportunities available for professional growth.
Employees enjoy unlimited vacation and 12 weeks of paid parental leave.
The company provides $1,000 a year for employees to travel to a new destination, reflecting its values of human connection, empathy, and curiosity.