Job Description

About Arthur

At Arthur, we are deeply passionate about building technology to make AI understandable, effective, and fair. Arthur makes machine learning work for enterprises through performance monitoring, explainability, and bias detection. We believe strongly in front-end ethics: building a company and industry where strong performance and a positive human impact are inextricably linked. This position is a rare (and fun!) opportunity to help shape the future of AI and its real-world impact.

About the role

Arthur is looking for product-focused Machine Learning Engineers to join our team, to operate with autonomy and with the support of the team to lead and build out our product vision and deliver value to our customers.

What you'll do

• Focus on ML, especially LLMs, model performance, security, and robustness : make LLMs and model-based systems respond accurately, quickly, and comprehensively to general and task-specific interactions by both natural and adversarial users – for example, checking veracity of responses, hardening against prompt injection, query-based routing to different models, and generation of evaluation datasets
• Build out new techniques and tooling in ML model monitoring : data drift detection, high-dimensional density estimation, time series anomaly detection; detection and mitigation of issues in fairness and bias in ML algorithms
• Run machine learning experiments independently and in collaboration with product teams, and communicate results to internal stakeholders as well as the broader ML community via publications in top-tier conferences, industry conference presentations, deep technical blogs, and events
• Drive value creation using our product with our customers in collaboration with our customer teams by engaging in targeted and focused short-term project work to understand, experiment, refine and deploy ML-enabled features for customer use-cases
• Stay up to date on the latest developments in the field – we operate in a nascent space with plenty of signal and plenty of noise coming from arXiv and open source project

Requirements

What we're looking for

• 2+ years of professional experience in software engineering, ideally providing strong ML support (or equivalent)
• Deep experience writing production-grade Python
• Exposure to (or experience) ML frameworks, such as JAX, Tensorflow, or PyTorch
• Understanding of software engineering best practices, version control, and containerization
• Customer empathy and a willingness to engage directly with customers and stakeholders
• Experience deploying ML models to production
• Deep interest in LLMs (to start) and multimodal generative models (soon!), specifically using these to build software

You might also have (nice to have, definitely not required)

• Experience with comprehensive model risk management
• Experience with public cloud services, such as AWS, Google Cloud, or Azure
• Experience or interest in interactive machine learning, HCI, human-centered ML and LLM evaluation, etc.
• Knowledge of and ability to (re)learn statistical methods and contemporary ML algorithms

Benefits

What to expect at Arthur

• Teammates who value curiosity, hard work, collaboration, and creative problem-solving -- and good swag
• A team of professionals who are passionate about our work and making a positive impact through AI
• A caring culture; we value and prioritize our team’s physical and mental health, encouraging and celebrating life outside of work
• Autonomy to pursue your role and interests with room to grow, with a team behind you that always has your back
• Joy, humor, and a little dose of healthy competition (in our business, we win as a team; on company game night, may the best Arthurian win…)

We offer

• Competitive compensation plus medical, dental, and vision insurance, and a 401K (with matching)
• Our target base salary range for this role is $160,000 - $230,000, based on level of experience and how your skills align with role requirements
• Equity in what we’re building together, backed by some of the most respected VCs in the industry
• A flexible learning and development budget: we’ll support ways to learn and grow in the areas that matter to you
• Highly discounted wellness and fitness benefits
• Flexible PTO with vacation minimums, which we really want you to take and enjoy
• The ability to work in a highly flexible hybrid environment - both from home, and from our NYC office with our team

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