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Principal Machine Learning, Data Science Engineer for AI Software Company in Palo Alto, CA
4 months ago
You will join an organization that partners with companies to help unlock the potential of AI for their specific goals and helps them evolve together with the technology. They’re built to help large organizations that are looking to “lean into AI” in a thoughtful way. They offer a software platform that helps companies adopt AI-based models and applications in a productive, cost-effective, and secure manner. They have received funding from top-tier VC firms and will release their first product later this year.
Responsibilities:
- Own the design and implementation of our Machine Learning infrastructure.
- Develop highly scalable custom classifiers and models that leverage machine learning, deep learning, and algorithmic approaches for large-scale problems.
- Apply the latest deep and machine learning advances to increase efficacy and performance.
- Integrate, deploy, test, and verify your algorithms and models through simulation and in real-world environments.
- Design, develop, test, deploy, maintain and improve software.
- Collaborate cross-functionally to deploy AI solutions.
- Produce high-quality, production-ready, readable, maintainable code.
Required Skillsets:
- 8+ years of work experience as a machine learning engineer, data scientist, and software developer, preferably at least two years at a seed, Series A, or Series B company
- Lead products or features in developing machine learning models at scale from inception to business impact.
- Deep experience in machine learning, deep learning, neural networks, and natural language processing
- Deep knowledge of LLMs concepts - Prompt Engineering, RAG, and fine-tuning LLMs
- Experience building deep learning and transformer model.
- Expert level programming experience in Python, Golang, Java, C/C++, and hands-on experience with frameworks such as PyTorch, TensorFlow, Keras, etc.
- Deep knowledge of architectural patterns of large-scale software applications.
- Strong familiarity with NoSQL, SQL, relational, and graph data stores
- Ability to share findings in easy to consume formats, whether that is through dashboards or data modeling.
- Experience working in a cloud environment such as AWS, GCP, Azure
- Experience designing and building data pipelines for production level ML infrastructure.
- Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience.
Desired Skillsets:
- Master’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience
- 2+ years of experience in a startup environment
- Direct experience with generative AI and LLM research
- Relevant professional experience with one or more of the following: Natural Language Understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems, or similar.
No 3rd party agencies or C2C
Location: Palo Alto, CA (3 days onsite, 2 days remote)
Position: Type: Full-time
Salary: $200k - $265k DOE
