Machine Learning Engineer
Description For Machine Learning Engineer
Arthur is at the forefront of making AI technology more understandable, effective, and fair through their innovative platform focusing on machine learning monitoring, explainability, and bias detection. As a Machine Learning Engineer at Arthur, you'll join a team deeply committed to shaping the future of AI and its real-world impact.
The role offers a unique opportunity to work on cutting-edge ML and LLM technologies, focusing on model performance, security, and robustness. You'll be responsible for developing new techniques in ML model monitoring, including data drift detection and high-dimensional density estimation. The position involves both independent and collaborative machine learning experiments, with the opportunity to communicate findings through publications and presentations.
This is an ideal position for someone with strong Python programming skills and experience with ML frameworks, who is passionate about the practical applications of machine learning. The role combines technical expertise with customer interaction, as you'll work directly with stakeholders to implement ML-enabled features for specific use cases.
Arthur offers a competitive compensation package ($160,000 - $230,000) along with comprehensive benefits including medical, dental, and vision insurance, 401K matching, and equity. The company culture emphasizes work-life balance with flexible PTO and a hybrid work environment based in NYC. You'll be joining a team that values curiosity, collaboration, and creative problem-solving, with ample opportunities for professional growth and development.
The ideal candidate will have 2+ years of professional experience in software engineering with ML focus, strong Python skills, and experience with ML frameworks. Knowledge of software engineering best practices and experience deploying ML models to production are essential. The role offers significant autonomy while providing team support, making it perfect for someone who wants to make a meaningful impact in the AI industry.
Responsibilities For Machine Learning Engineer
- Focus on ML and LLMs model performance, security, and robustness
- Build out new techniques and tooling in ML model monitoring
- Run machine learning experiments and communicate results
- Drive value creation using product with customers
- Stay up to date on the latest developments in the field
Requirements For Machine Learning Engineer
- 2+ years of professional experience in software engineering
- Deep experience writing production-grade Python
- Exposure to ML frameworks (JAX, Tensorflow, or PyTorch)
- Understanding of software engineering best practices
- Customer empathy and willingness to engage with stakeholders
- Experience deploying ML models to production
- Deep interest in LLMs and multimodal generative models
Benefits For Machine Learning Engineer
- Competitive compensation
- Medical, dental, and vision insurance
- 401K with matching
- Equity
- Flexible learning and development budget
- Discounted wellness and fitness benefits
- Flexible PTO with vacation minimums
- Flexible hybrid work environment
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