ML Engineer (Founding Team) @ Basis

Key Skills

Data Engineering, Data pipelines, Deep Learning, ETL frameworks, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP)

Job Description

Build

• Design evaluation experimentation, and monitoring processes for ML
• Engineer ops systems on cutting edge of complex ML workflows

Take ownership

• Report directly to co-founders
• Oversee end-to-end ML ops

Set culture and practice

• Shape our early engineering culture and processes

Wear multiple hats

• Help hire and build out the rest of the early engineering team - there will be no shortage of responsibility
• Balance long-term thinking and smart abstractions with shipping fast and iteratively

Essentials

• ML Engineering:Experience building out production ML systems around complex workflows
• End-to-end from concept all the way to production
• Has owned systems at small and medium scales
• Interest in LLMs, NLP, Reinforcement Learning, Probabilistic Graphs, deep learning a plus
• Workflow orchestration, monitoring + visibility, experimentation +A/B testing
• Data engineering/ ETL pipeline experience
• Experience: 5-10 years of experience in ML; open to exceptional candidates with fewer years but strong experience
• Vision: Thoughts on how to evolve processes for new ML paradigms
• Scrappy: Ability to iterate quickly in near-term while planning for long-term
• Autonomy: Exercise a high-degree of autonomy and technical authority;
• product mindset to reflect product priorities in ML engineering
• Flexibility: Willing and interested to jump across multiple disciplines
• Team-first mentality: you are interested in building for the long-term alongside founding team members, and committed to mentoring others and being mentored
• Passion for vision: Genuinely excited about our tech and its impact on accounting, finance, and economy
• NYC-based: Seeking in-person environment; working from office most days of week
• All-in: This is not a 9-5, we have a massive opportunity ahead of us and are looking to multiply our engineering speed. We are optimizing for the best folks and happy to compensate generously
• A little something extra You know it when you see it

Bonus points

• Hiring: A knack for spotting and recruiting engineering talent
• Experience with financial workflows: Worked with corporate financial data/products geared to finance professionals
• Product ownership: Experience owning a product end-to-end

Our salary ranges are based on paying competitively for our size and industry, and are one part of our total compensation package that also includes equity and benefits. Pay decisions are based on a number of factors, including scope and qualifications for the role, company stage, experience level, skillset, and balancing internal equity relative to other Basis employees. We expect the majority of the candidates who are offered roles at Basis to fall healthily within the range based on these factors:

Salary range: $100,000 - $200,000 annually