Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Data ScienceIndustries
Requirements
Candidates should possess 3+ years of experience in machine learning, recommendations/ranking systems, computer vision, multimodal representation learning, and/or natural language processing. They must have a strong background in Python programming and ML frameworks such as PyTorch, TensorFlow, and Transformers, along with proficiency in ML platforms and tools for model experimentation, deployment, and monitoring. Furthermore, candidates should be well-versed in data processing at scale, including batch/streaming pipelines and data infrastructure tools like Kubernetes, Kafka, and Spark, and demonstrate excellent verbal and written communication skills to effectively convey complex topics to both technical and non-technical audiences.
Responsibilities
The Machine Learning Engineer will design and implement machine learning models to power personalized experiences within the Raya app, collaborate closely with cross-functional stakeholders to shape roadmaps and initiatives, contribute to core ML platform components for scalable model training, deployment, and productionization, and stay up-to-date with the latest research and advancements in recommendation systems and AI while working in a high-impact environment with rapid development and product iteration.
Skills
Python
PyTorch
TensorFlow
Transformers
ML platforms
Model deployment
Kubernetes
Kafka
Spark
Data processing
recommendation systems
natural language processing
computer vision
multimodal representation learning
communication skills
Rasa
Develops conversational AI software for businesses
About Rasa
Rasa develops software that allows machines to understand and respond to human language, focusing on conversational AI. Their main products include Rasa Open Source, which is a free platform for developers to create and customize chatbots and virtual assistants, and Rasa X, a paid solution that offers advanced features and support for businesses. Rasa's technology helps companies automate customer service, improve user engagement, and provide 24/7 support. Unlike many competitors, Rasa emphasizes community involvement through its open-source platform, allowing users to contribute to the software's development. The company's goal is to empower businesses of all sizes to enhance their customer interactions using intelligent AI solutions.
Key Metrics
San Francisco, CaliforniaHeadquarters
2016Year Founded
$68.2MTotal Funding
SERIES_CCompany Stage
Enterprise Software, AI & Machine LearningIndustries
51-200Employees