The Role

About Us:

Our client is redefining trust in global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners, especially within cybersecurity, privacy, and ESG (Environmental, Social, Governance). We develop software for professionals who enable trust between businesses.

Though based in San Francisco, CA, our client is a remote-first company that allows you to perform your best work from anywhere. They're supported by top investors and have a strong commitment to diversity, valuing various backgrounds and experiences. The team is inclusive, driven, humble, and supportive, focusing on building a culture of mutual growth.

Joining as an early-stage start-up employee, you’ll have the chance to shape the future of business trust by making audit practitioners' work more efficient and enhancing their work-life balance. If you share their values and enthusiasm for creating a great culture and product, you’ll find a home here.

Key Attributes:

• Interest in Early Stage Companies: Eager to join a rapidly growing company with a strong product demand and a robust customer base among top audit and advisory firms.
• User-Centered Design: Believe in the importance of great design and UX, competing against legacy software with a focus on user satisfaction.
• Data-Driven: Passionate about leveraging a rich dataset for automation and AI to provide users with intelligent automation, workflow predictions, and analytics.
• Cultural Fit: Committed to working hard and responsibly, valuing a sustainable, inclusive, high EQ, high feedback, and safe company culture.

Responsibilities:

• Serve as a key technical contributor during the company’s scaling phase.
• Lead end-to-end feature development, including architectural decisions and approach trade-offs.
• Continuously improve technology and processes.
• Optimize for iteration speed while maintaining high quality and technical rigor.

Qualifications:

• 5+ years of engineering experience.
• Strong enthusiasm for product-focused application of ML/AI in a production role.
• Proficiency in at least one programming language, especially Python or TypeScript.
• Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks, and deep learning.
• Familiarity with modern ML/AI technologies, including NLP, LLMs (e.g., GPT-3+), RAG architectures, and their applications.
• Experience in architecting systems and data pipelines for document-heavy data sets, including processing, search, and classification.
• Experience in developing, testing, evaluating, and deploying ML models.
• Ability to collaborate on product strategy and UX.
• Experience shaping early-stage tech stacks, products, and engineering organizations.

Preferred Qualifications:

• Experience training, fine-tuning, and deploying LLMs.
• Familiarity with ML frameworks and tools such as TensorFlow, PyTorch, Keras, and scikit-learn.
• Familiarity with modern web tech stacks, including TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, Python, and AWS.
• Experience with cloud computing platforms like AWS.
• Experience with DevOps and continuous integration/delivery best practices.