Software Engineer, Machine Learning Responsibilities

Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications

Demonstrated experience driving change within an organization and leading complex technical projects
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions

Preferred Qualifications

Masters degree or PhD in Computer Science or a related technical field
Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
Understanding of information retrieval concepts, such as indexing, querying, and ranking
Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques
Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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