Member of ML Technical Staff

Member of ML Technical Staff

• Title of Role: Member of ML Technical Staff
• Location: San Francisco, onsite
• Company Stage of Funding: Venture-Backed — AI
• Office Type: Onsite
• Salary: $200K–$350K

Company Description

We're representing a cutting-edge company at the forefront of artificial intelligence, dedicated to delivering frontier intelligence solutions across various devices. This organization is known for its innovative approach and commitment to harnessing the power of AI to enhance decision-making and operational efficiency. With a dynamic team and a collaborative environment, they are poised for significant growth in the AI landscape.

What You Will Do

• Develop and optimize machine learning models using PyTorch to enhance product capabilities.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Write efficient and maintainable code in C++ and Python to support machine learning applications.
• Participate in code reviews and contribute to the continuous improvement of engineering practices.
• Analyze model performance and implement improvements based on quantitative metrics.
• Assist in deploying machine learning solutions in production environments.
• Engage in knowledge sharing and mentorship within a growing team of engineers.

Ideal Candidate Background

• 1+ years of experience in machine learning engineering or related fields.
• Proficiency in PyTorch and experience with C/C++ programming.
• Strong problem-solving skills and the ability to work collaboratively in a team setting.
• Familiarity with machine learning algorithms and data structures.

Preferred

• Experience with deploying machine learning models in production environments.
• Knowledge of additional programming languages or frameworks relevant to AI development.
• Previous work in a startup or fast-paced environment.

Compensation and Benefits

The base salary for this role ranges from $200K to $350K, complemented by competitive equity options. This company also offers a supportive environment for professional growth and development, including visa sponsorship for eligible candidates.