Machine Learning Engineer

About Arthur

At , we are deeply passionate about building technology to make AI understandable, effective, and fair. Arthur makes machine learning work for businesses by monitoring performance, giving explanation, and detecting bias. We're founded by AI experts and supported by .

This position is a unique (and fun!) opportunity to help shape the future of AI and its real-world impact. We are an equal opportunity employer and strongly believe in proactive ethics: building a company and industry where strong performance and a positive human impact are inseparable.

About the role

Arthur is looking for multiple product-focused Machine Learning Engineers to join our team. They’ll act with autonomy and with the support of the team to lead and develop our product vision.

What you'll do

• Focus on ML, especially LLMs, model performance, security, and robustness: make LLM and model-based systems respond accurately, quickly, and in full to general and task-specific interactions by both normal and adversarial users – for example, checking the truth of responses, becoming more resistant to prompt injection, query-based routing to different models, and creating evaluation datasets
• Develop new techniques and tools in ML model monitoring: detecting data drift, estimating high-dimensional density, detecting anomalies in time series; detecting and mitigating fairness and bias issues in ML algorithms
• Identify, build, and implement large-scale explanation methods for tabular, image, text, and other data – including human-centered explanations for AI applications that create content
• Run machine learning experiments by yourself and together with product and research teams, and communicate results to people inside the company as well as the wider ML community through papers at major conferences, presentations at industry conferences, in-depth technical blogs, and events

What we need

What we're looking for

• 3-5+ years of work experience in Machine Learning, or in Engineering providing strong ML support, or in Data Science/Statistics with very strong Engineering skills
• Experience with deploying ML models to production and with managing model risk fully
• Deep interest in LLMs (to begin with) and multimodal generative models (coming soon!), specifically around measuring bias or performance
• Enthusiasm for staying up-to-date on the latest developments in the field – we operate in a fresh space with plenty of signal and plenty of noise coming from arXiv and open source projects
• Understanding of software engineering best practices, version control, and containerization
• Experience with deep learning frameworks, such as JAX, Tensorflow, or , in addition to a deep experience writing production-grade Python
• Knowledge of and ability to (re)learn statistical methods and modern ML algorithms
• Empathy for customers and a willingness to speak directly with customers and stakeholders
• Experience with public cloud services, like AWS, Google Cloud, or Azure

You might also have (nice to have)

• Experience or interest in interactive machine learning, HCI, user-centric ML and LLM evaluation, etc.
• Experience or interest in the explainability and fairness of recommendation systems
• A body of ML-focused papers (we tend to have a presence at conferences like NeurIPS/ICML, KDD, AAAI, CHI, and the newer responsible AI conferences like SaTML, FAccT, and AIES), technical blogging, and/or open source projects
• A Masters or PhD in a quantitative field – we’re not strict about degrees (many of us have Masters/PhDs, so we know very well that this isn’t the only way to be an expert in the field)

Benefits

What to expect at Arthur

• Colleagues who value curiosity, hard work, teamwork, and creative problem-solving -- and good gifts
• A team of professionals who love our work and aim to make a positive change through AI
• A caring culture; we value and prioritize our team’s health, both physical and mental, and we support and celebrate life outside of work
• The freedom to explore your role and interests with space to grow, with a team that always has your back
• Joy, humor, and a little bit of healthy competition (in our work, we win as a team; on company game night, the best Arthurian wins…)

What we offer

• Competitive compensation plus medical, dental, and vision insurance, and a 401K (with matching)
  • Our targetBase range for this role is $160,000 - $230,000, based on your experience and how your skills match the role requirements
• Ownership in what we’re building together, supported 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 are important to you
• Significant discounts on wellness and fitness benefits
• Flexible PTO with minimum vacation days, which we really want you to take and enjoy
• The ability to work in a very flexible hybrid environment with our team from home, and from our NYC office