Senior Machine Learning Engineer
We are seeking a Senior Machine Learning Scientist to join our Central AI team. This team builds essential AI infrastructure, data pipelines, frameworks, and models to drive AI innovation and seamless integration across the company's products and platforms. The ideal candidate will be responsible for developing and implementing cutting-edge machine learning algorithms, training sophisticated models, and collaborating closely with various teams to bring AI functionalities into our products and services.
Your Future Team:
The Central AI team is a part of a larger AI program designed to accelerate innovation, enhance AI experiences, and build a sustainable AI infrastructure. This team plays a critical role in supporting AI development across different product teams, ensuring cohesive and efficient AI implementation throughout the organization.
Responsibilities:
- Develop and implement advanced machine learning algorithms and train sophisticated models.
- Design system and model architectures, conduct experiments, and perform rigorous model evaluations.
- Collaborate with product, engineering, and analytics teams to integrate AI features into products and services.
- Provide guidance and mentorship to junior ML engineers.
- Work on core shared AI experiences, such as search, knowledge discovery, and conversation.
Qualifications:
- Required:
- Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience.
- 3+ years of industry experience in data science.
- Expertise in Python or Java, with the ability to write efficient, production-quality code; familiarity with SQL, Spark, and cloud environments (e.g., AWS, Databricks).
- Experience building and scaling machine learning models for business applications using large datasets.
- Strong communication skills, with the ability to explain data science concepts clearly to diverse audiences.
- Focus on practical, business-oriented solutions with a high standard for quality output.
- Agile mindset, valuing constant iteration and improvement.
- Preferred:
- Experience working in B2C, B2B, or SaaS environments.
- Experience developing deep learning models or working with LLM applications.
- Proven ability to solve complex, ambiguous problems and develop innovative solutions.