Machine Learning Engineer jobs in United States

Interested in exploring the world of legaltech? Join our diverse team at SeedLegals and provide high-quality support to some of London’s most exciting startup founders!

SeedLegals is the leading provider of automated legal solutions for startups in the UK, France, and Ireland. We’re a Series A company, backed by exceptional VCs such as Index Ventures, committed to making entrepreneurship accessible to all. We've revolutionised early-stage fundraising, team reward systems, and business scalability since our inception in 2016. With over 60,000 companies served and startups raising over £2 billion on our platform, we\'ve become a driving force in the industry.

With offices in London, Paris, and a team in Ireland and the US, we\'re always looking for talented individuals to join our team.

Our values are key to our success here at SeedLegals:

• We invest and trust in each other;
• We are committed to a growth mindset;
• We embrace diversity and cultivate inclusion;
• We are driven by customer success.

We’re looking for a hands-on data engineer to join SeedLegals. This role offers a rich and unparalleled exposure to the startup ecosystem. This exceptional technologist will join a lean remote team of engineers playing a crucial role in data impact felt throughout the company by:

• Designing and implementing robust and well-orchestrated E2E data pipelines (ELT, Reverse-ETL).
• Employing data modelling techniques in BigQuery and dbt, with an emphasis on legal and venture capital data.
• Building production-grade LLM pipelines with complex business domain understanding. You\'ll have complete ownership and autonomy over the ADLC, from the initial pilot through deployment and continuous iteration.
• You\’ll closely support and learn from internal departments, including senior stakeholders.

This is a great opportunity for someone who loves solving complex problems, wants real ownership, and is excited about applying AI/LLMs to real-world business challenges.

• Bachelor’s degree in Computer Science or a related practical discipline.
• The ideal candidate will have at least 1 year of experience as a Data Engineer, AI Engineer, or related role.
• Strong software engineering fundamentals and proficiency in Python.
• Proficient in and passionate about SQL, dbt, and data modelling techniques. Being adept with columnar databases is a considerable advantage.
• Experience building or deploying AI/LLM systems in production.
• Familiarity with workflow orchestration frameworks (e.g. Dagster, Airflow, Argo).
• Experience working with AWS/GCP and utilising its databases, compute, storage, and serverless technologies is a competitive advantage.
• Comfortable working within the Linux OS ecosystem, including command line tools and bash or similar scripting.
• Problem-solving skills, passion for learning, attention to detail and excellent oral and written communication skills.

• Experience in architecting and implementing RESTful APIs.
• Prior experience with React, TypeScript, Kotlin, Java.

• Private healthcare, life, and group critical illness insurance
• 25 days annual leave, plus bank holidays and your birthday off
• 3 volunteer days per year
• Share options after one year in the company
• Pension
• Hybrid working policy and a £250 work-from-home allowance.
• Learning, development and networking opportunities with some of the most experienced individuals in UK startup law, investment, and entrepreneurship.
• Acess to Happl, our flexible benefits platform.
• Cycle to work scheme
• Annual learning & development budget
• Free lunch in the office once a week

• Apply online
• Technical (sql/python)
• Technical (sql/python)
• Behavioural + Technical Discussion with an experienced team member / manager
• 30 min chat with the CEO

Salary: £50 - £70k