Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Hive, a leading provider of cloud-based AI solutions, is seeking a Senior Machine Learning Engineer to join their innovative team in San Francisco. With over $120M in funding from prestigious investors like General Catalyst and Visa Ventures, Hive serves billions of API requests monthly and is transforming content moderation, brand protection, and ad targeting industries.
The role demands a seasoned ML engineer with 5+ years of experience in building production-scale models. You'll be working with terabyte-scale datasets, implementing state-of-the-art neural networks, and deploying them at scale. The position offers an opportunity to work on cutting-edge AI technology while having a direct impact on the company's growth.
As a Senior ML Engineer, you'll be responsible for the entire ML pipeline - from design to deployment, including data gathering, model training, and continuous improvement of both accuracy and performance. The role requires expertise in Python, modern ML frameworks, and distributed systems, along with strong knowledge in either computer vision or NLP.
The compensation package is competitive, ranging from $160,000 to $250,000 in base salary, with additional stock options available. You'll be joining a team of 250+ employees across San Francisco, Seattle, and Delhi offices, working on revolutionary AI solutions used by hundreds of the world's largest organizations.
This is an ideal opportunity for someone who values ownership, innovation, and wants to be at the forefront of AI technology development. The role offers a steep learning curve and the chance to contribute meaningfully to one of San Francisco's fastest-growing AI startups.
Responsibilities For Senior Machine Learning Engineer
- Design and code neural networks, gather and refine data, train and tune models
- Deploy models at scale with high throughput and uptime
- Write and maintain scalable, performant and secure code
- Improve engineering standards, tooling, processes and security
- Develop novel ML algorithms for use at scale
- Conduct metric-driven research experiments
- Provide mentorship to junior ML engineers
- Collaborate cross-functionally with other teams
- Maintain security best practices and OWASP top 10 techniques
Requirements For Senior Machine Learning Engineer
- Bachelor's Degree in computer science or related field
- Minimum of 5 years building production scale ML models
- Experience with modern ML frameworks like PyTorch or Tensorflow
- Expert in Python and/or shell scripts for data analysis
- Experience writing code and training across distributed systems
- Strong knowledge in computer vision or NLP
- Experience in high code quality and automated testing
- Strong interpersonal and communication skills
- Ability to understand and make well-reasoned tradeoffs
- Experience leading end to end development of new products
Benefits For Senior Machine Learning Engineer
- Stock options
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