Machine Learning Engineer

The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion functionalities. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.

Responsibilities

• Designing, implementing, and optimizing GenAI algorithms, techniques and solutions to address complex business challenges.
• Collaborating with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives.
• Participating in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.
• Identifying opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability.
• Staying up-to-date with the newest developments in GenAI research and engineering to continuously improve our technical capabilities.

What we’re looking for  

• Possess a Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Distributed Systems, or a related field.
• Be proficient in one or more programming languages such as Python, C, C++, or CUDA, with experience in building scalable software systems.
• Understand deep learning frameworks such as PyTorch, TensorFlow, or similar.
• Demonstrate AI dedication through sharing academic or personal AI projects and enthusiasm for new possibilities.
• Able to effectively collaborate with cross-functional teams and present technical concepts to both technical and non-technical audiences.

Salary Range or On Target Earnings:

Minimum:

$122,200.00

Maximum:

$244,500.00