AI Developer

As an AI Developer at Coactive, your primary responsibilities will include designing, building, and maintaining sophisticated software systems that effectively handle large-scale image and video data. You'll work closely with cross-functional teams, iteratively prototyping and deploying solutions that enhance our Machine Learning Service. Moreover, you will utilize your foundational skills in linear algebra and machine learning to ensure that our systems are efficient and intuitive.

To be considered for the AI Developer position at Coactive, you should hold a Bachelor’s degree in Computer Science, Software Engineering, or a related field, or have extensive practical experience in these areas. It's also beneficial to have over 3 years of production-level experience in programming languages like Python, Go, Java, or C++, with Python being preferred. A strong understanding of machine learning principles and experience with frameworks such as PyTorch or TensorFlow will set you apart as a candidate.

Coactive is deeply committed to the development of its employees. As an AI Developer, you can expect a supportive environment that encourages continuous learning and professional growth. By working on cutting-edge projects with world-class engineers and researchers, you'll have ample opportunities to advance your skills and contribute to meaningful challenges in the AI space. We also provide unlimited PTO and host social events to foster camaraderie within the team.

AI Developers at Coactive primarily work with technologies that manage and process large-scale visual data. Proficiency in programming languages, particularly Python, is essential. Additionally, experience with data processing pipelines, SQL, and machine learning frameworks like PyTorch or TensorFlow can greatly enhance your capabilities in this role. Being familiar with the practical applications of these technologies is vital for success.

The work culture at Coactive is dynamic and inclusive, promoting collaboration and innovation among AI Developers. We believe that while we build products, we also develop people. You'll find that we regularly engage in brainstorming sessions, pair programming, and internal presentations to help each team member share ideas and grow. Enjoy a hybrid work environment that fosters flexibility and encourages social interactions through a variety of events.

When answering this question, detail the project context, the specific algorithms you used, and the results of your implementation. Highlight how your contributions impacted the project’s success and any challenges you overcame.

Discuss the programming languages listed in your resume, particularly focusing on Python. Elaborate on specific projects where you applied these languages, emphasizing your problem-solving abilities and software engineering skills.

Provide examples of best practices you've implemented in your software engineering, such as code reviews, modular design, or documentation. Show how these practices contribute to scalability and maintainability in a collaborative environment.

Share any relevant experiences you have with these frameworks. Include specific projects where you applied them, what your roles were, and any challenges you faced while using these tools.

Emphasize your systematic approach to testing and debugging. Discuss tools and methodologies you utilize (e.g., unit testing) and share a specific instance where your efforts led to a successful resolution of a complex issue.

Use this opportunity to demonstrate your communication skills. Choose a topic from your area of expertise, such as a machine learning algorithm. Break it down into digestible parts, ensuring clarity while making technical jargon accessible to a non-expert.

Discuss resources like research papers, courses, conferences, or networking within the community that you use to keep your knowledge fresh. Highlight your proactive approach to learning and applying new skills to your work.

Share your experiences working in diverse teams. Discuss communication tools you’ve used, any methodologies like Agile, and how you resolve conflicts or align different perspectives to reach shared goals.

Provide a concise narrative that highlights your adaptability and willingness to learn. Focus on the steps you took to familiarize yourself with the skill or technology and the impact it had on your project.

Connect your interests and skills with Coactive’s mission. Discuss your enthusiasm for working on innovative AI projects and how your background aligns with the company's goals, emphasizing your desire to contribute to meaningful advancements in the field.