Our client is a digital consumer product. They're building social features using LLMs and Machine Learning to add to user experience. We're looking for a Principal Machine Learning Engineer to build AI features for the family.
Qualifications:
- A confident craftsperson who possesses problem-solving tools and can discuss multiple approaches while preferring the best approach given the constraints.
- A scientific artist and artistic scientist who can navigate complexity and bring clarity to intricate problems while appreciating simplicity as the highest sophistication.
- A pragmatic optimizer who identifies the need for change, articulates it, and drives incremental improvements toward ambitious goals.
- An advocate for team collaboration and open communication.
- Possesses comprehensive knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced NLP techniques.
- Significant experience in AI/ML engineering with a strong data science background.
- Demonstrated ability in designing and training LLMs.
- Expertise in Databricks/Apache Spark for large-scale data processing in AI/ML applications.
- Proficiency with AWS Bedrock and Comprehend.
- Demonstrated leadership in AI/ML solutions in a commercial environment.
- Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration and processing.
- Proven ability to lead and inspire teams of senior engineers and data scientists.
- Effective individual contributor within a collaborative team environment.
- Strong analytical, problem-solving, and communication skills.
Responsibilities:
- Collaborate with the Data team to transform Data Lakehouse potential into actionable insights and services that enhance user experiences.
- Shape AI/ML strategies, particularly in LLMs, to drive business outcomes and establish data science principles.
- Implement technologies in AWS and Databricks for handling and processing large datasets for advanced language model training.
- Lead data science practices, including model selection and training methodology.
- Build, train, manage, and host LLMs using Data Lakehouse data.
- Optimize AI system performance through testing and tuning, leveraging data science and Databricks methodologies.
- Ensure ethical standards and data privacy compliance in AI solutions.
- Provide specialized AI/ML expertise to guide the development and optimization of AI features.
- Stay updated on the latest AI/ML and data science trends, especially in LLMs and AWS, Databricks/Apache Spark technology.
Benefits:
- Full Medical Coverage: OFW covers 100% of premiums for employees and their families.
- 401k: Up to a 4% match with immediate vesting.
- 12 weeks of paid leave for all new parents.
- Learning & Development stipend for employees.
- Supportive and flexible working environment, allowing remote work from anywhere.
