Algorithms, Analysis Skills, Artificial Intelligence (AI), B2B eCommerce, Best Practices, Business-to-Business (B2B), Code Reviews, Cross-Functional, Data Processing, Data Sets, Data Structures, Database Administration, Funding, Leading Edge Technology, Machine Learning, Mentoring, Performance Management, Performance Modeling, Python Programming/Scripting Language, Scalable System Development, Software Development, Startup, User Interface/Experience (UI/UX)
San Francisco, California
Machine Learning Engineer
- Title of Role: Machine Learning Engineer
- Location: San Francisco, onsite
- Company Stage of Funding: Series A — Internet Marketplace Platforms
- Office Type: Onsite
- Salary: $190K–$320K
Company Description
We're representing a dynamic company in the Internet marketplace sector that is leveraging cutting-edge AI technologies to transform how businesses connect and operate. With a focus on innovation and growth, our client is building a robust platform that enhances user experiences and drives efficiency in B2B transactions. This is an exciting opportunity to join a passionate team dedicated to pushing the boundaries of technology.
What You Will Do
- Develop and implement machine learning models using Python and PyTorch to enhance platform capabilities.
- Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
- Utilize TensorFlow and Langchain for building scalable and efficient data processing workflows.
- Analyze large datasets with NumPy to extract actionable insights and improve model performance.
- Design and maintain vector databases to support advanced AI functionalities.
- Participate in code reviews and contribute to best practices in software development and machine learning.
- Mentor junior engineers and contribute to a culture of continuous learning and innovation.
Ideal Candidate Background
- 4-8 years of experience in machine learning engineering or a related field.
- Proficiency in Python and experience with frameworks such as PyTorch and TensorFlow.
- Strong understanding of data structures and algorithms, particularly in relation to machine learning.
- Experience with TypeScript and building scalable applications.
- Familiarity with vector databases and their application in AI solutions.
Preferred
- Experience in the Internet marketplace or B2B sectors.
- Knowledge of Langchain and its integration into machine learning workflows.
- Previous experience working in a fast-paced startup environment.
Compensation and Benefits
The base salary for this role ranges from $190K to $320K, complemented by competitive equity options. Join a forward-thinking team where your contributions will directly impact the company's success and innovation trajectory.