In this role, you’ll be instrumental in developing the next -generation platform to verify the origin, quality, and accuracy of global information. We’re looking for someone with a strong background in ML research, a keen product sense, and exceptional software engineering skills. Join our dynamic team to build groundbreaking software that has already attracted millions of users worldwide.
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What You’ll Do:<\/b>
<\/p>- Develop Cutting -Edge Models:<\/b> Design, train, and fine -tune state -of -the -art large language models to advance our platform's capabilities.
<\/li>- Create AI Agents:<\/b> Build AI agents combined with retrieval -augmented language models to enhance functionality and performance.
<\/li>- Build Scalable Systems:<\/b> Develop efficient and scalable systems for ML training and inference, ensuring optimal performance and reliability.
<\/li>- Stay Ahead of the Curve:<\/b> Keep up with the latest research and emerging technologies to address novel challenges and implement innovative solutions.
<\/li>- Collaborate for Impact:<\/b> Work closely with product and design teams to develop user -friendly applications that have a meaningful societal impact.
<\/li><\/ul>Who You Are:<\/b>
<\/p>- ML Expertise:<\/b> Proficient in Python and PyTorch, with experience pushing the boundaries of machine learning technologies.
<\/li>- Self -Starter:<\/b> Able to pitch, plan, and execute projects independently in a fast -paced environment.
<\/li>- Impact -Driven:<\/b> Highly motivated by the opportunity to make a positive impact on society through your work.
<\/li>- Leadership Skills:<\/b> Comfortable wearing multiple hats and providing leadership as our team expands.
<\/li>- Work Authorization:<\/b> Eligible for work in Canada or the US.
<\/li><\/ul>Bonus Points:<\/b>
<\/p>- Open -Source Contributions:<\/b> A strong portfolio of open -source projects.
<\/li>- Research Publications:<\/b> Publications in top -tier machine learning venues.
<\/li>- Startup Experience:<\/b> Experience working in an early -stage startup environment.
<\/li>- Understanding Model Failures:<\/b> Insight into how machine learning models fail in real -world scenarios.
<\/li><\/ul>Why Join Us:<\/b>
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As a key member of our team, you’ll play a crucial role in shaping the future of AI technology and its impact on society. Enjoy a collaborative and innovative work environment, competitive salary, equity opportunities, and the chance to work on projects that are at the forefront of the industry.
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If you’re passionate about advancing machine learning and making a real difference, we’d love to hear from you!
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