ML Engineer

As an ML Engineer at Tavus, your main responsibilities include developing new features that use computer vision and NLP models, overseeing ML Ops tasks, designing and conducting experiments to improve our generative AI models, and contributing to our technical strategy. You'll be crucial in shaping how AI interacts with users, ensuring an exceptional human experience.

To become an ML Engineer at Tavus, you should have 2-3 years of industry experience in software development, a strong background in Python and PyTorch, and a good understanding of video processing or streaming. Additionally, skills in infrastructure, low-latency application development, and experience with training LLMs can enhance your candidacy.

At Tavus, we pride ourselves on being a place for learning and growth. As an ML Engineer, you'll have access to resources and mentorship to further your knowledge in applied machine learning. We foster a culture of sharing ideas, collaborating on projects, and discovering new solutions, allowing you to develop your skills in an inclusive environment.

The work culture at Tavus is collaborative and vibrant. As an ML Engineer, you'll be part of a team that values diversity, creativity, and innovation. We support a flexible work schedule, offer unlimited PTO, and encourage a work environment where fun and productivity harmoniously blend to create an impactful experience.

As an ML Engineer at Tavus, you can expect to work on exciting projects like developing next-gen AI avatars and real-time conversational experiences. You'll have the opportunity to influence our technical foundations and experiment with cutting-edge AI technologies, ensuring your work has a meaningful impact across various industries.

When answering this question, give specific examples of ML models you've developed or worked with, focusing on the impact of your work. Discuss the challenges faced and how you overcame them, highlighting your hands-on experience with Python and tools like PyTorch used in the Tavus environment.

Discuss your perspective on AI's potential to create authentic human experiences. Relate this to the mission of Tavus, emphasizing how you believe ML can facilitate natural interactions and enhance communication, thereby making a positive impact across industries.

Share your systematic approach to debugging, including specific tools and techniques you utilize. Emphasize your experience in identifying inefficiencies and how you optimize algorithms, which is crucial for a role at Tavus that focuses on low-latency application development.

Provide an example of a project where you implemented computer vision techniques, detailing your role in improving model performance or functionality. This insight will be valuable since Tavus relies heavily on computer vision within its products.

Discuss your engagement with the AI/ML community through conferences, online courses, and research papers. Mention specific resources or networks you rely on, showcasing your passion for continuous learning, which aligns with Tavus's focus on innovation.

Explain your familiarity with building and optimizing data processing pipelines, as this is relevant for ML Ops responsibilities at Tavus. Highlight any specific tools or platforms you've used in the past and your role in improving data efficiency.

Detail your methodology for testing hypotheses in ML model development. Describe how you design and analyze experiments, including success metrics and evaluation methods to ensure that your work contributes effectively to the projects at Tavus.

Explain your openness to feedback and how you use it constructively to improve your work. Provide an example of a time when feedback led you to make significant changes in a project, illustrating your adaptable mindset.

Articulate your belief in the power of collaboration, especially in startups. Discuss how teamwork can accelerate innovation and foster problem-solving, aligning this belief with Tavus's culture of teamwork and inclusivity.

Show your enthusiasm by connecting your skills and career aspirations to the mission and projects at Tavus. Highlight specific aspects of the company culture, technology, or innovative projects that excite you, making your answer genuine and passionate.