Have experience and/or in-depth understandings about large-scale distributed systems.
Responsibilities
Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines.
Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not.
Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis.
Innovate and iterate over ideas, prototypes, and product.
Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback.
Advance the AI frontier responsibly.
Embody our and .
Required Qualifications
Bachelor's Degree in Computer Science, or related technical discipline AND 4 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python
OR equivalent experience.
Preferred Qualifications:
Bachelor's Degree in Computer Science or related technical field AND 6 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python
OR equivalent experience.
Demonstrated experience in large-scale AI.
Passionate about conversational AI and its deployment.
Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: