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Software Engineer (AI/ML)

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Onsite

Software Engineer (AI/ML)

Tabs

Software Engineer (AI/ML)

Skills

Machine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Salary:

$165,000 – $225,000 / year

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

29 August 2026

What they need


  • We are enabling the one person finance team…
  • Artificial intelligence products that automate operational management of accounting, communications, and reporting. Finance leaders shouldn’t worry about updating new points of contacts for an invoice; our systems enable them to deliver strategy and vision to their business
  • We are putting together a tight team of innovative product engineers to join the AI team full stack
  • You will own building automation, AI, and ML features from concept, release, and integration into the product
  • We are looking beyond pattern matching, this isn’t a solved problem and we are looking for engineers who will generate new insights and solutions
  • You will work closely with company leadership and the founding team to deliver high impact projects with direct impact on market positioning of the business

Benefits

  • Unlimited PTO: You decide when and how long to take time off
  • Fully paid health insurance: Fully paid medical, dntal, and vision insurance
  • Complimentary meals: Free lunch and dinner in the office
  • Parental leave: Generous paid leave to new parents
  • Commuter benefits: Tax-free commuter benefits
  • Regular team events: We work hard and play hard- We don’t care what stack you’ve built in the past, but you will be building with Python, Typescript, and NextJs (bonus points if this is already your stack)
  • 3-5 years of full stack experience in engineering that directly impacts the delivery of product and features to users
  • Experience taking ownership of projects and driving them through to completion
  • Exceptions to the above requirements are made for candidates with exceptional stories. If this is you, we will consider you regardless of the guidelines above
  • Proven ability to build green field products, get it 80% right, and learn from the missing 20%
  • 1+ year of experience on products that deliver AI/ML inference to end users. Can be anywhere in that lifecycle, from training machine learning systems, to creating the interfaces users use to navigate inference results
  • An interest and passion for AI/ML systems, if you haven’t had the opportunity at work to build AI/ML systems but have personal projects in the space we would love to hear about them
  • Even if you don’t meet 100% of the qualifications, we encourage you to apply. We care most about curiosity, craft, and drive

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