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Senior AI Software Engineer

iMa*** · Chicago, IL, United States
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Chicago, IL, United States130,000-220,000 USD/yearlyHybrid
Remuneration
130,000-220,000 USD/yearly
Location
Chicago, IL, United States
Visa sponsorship
Sponsors visa

Job summary

We offer a flexible working policy that supports a healthy balance between personal and professional well-being. This role requires in-office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers - while also maintaining the flexibility for meaningful work-life balance.

Benefits

We offer a flexible working policy that supports a healthy balance between persoGranting enhanced leave for expecting parents; 20 weeks 100% paid for primary leProviding me with a flexible time off policy to take the time off that I need.Be it for vacation, volunteering, celebrating holidays, spending time with familThe overall US annual base salary range for this position is $130,000–$170,000.Individual compensation for each candidate depends on factors such asYour recruiter will provide further details about the offer range, incentives, aAbout iManage…IManage is dedicated to Making Knowledge WorkTM.So we’re looking for people who love a challenge.People who are happiest when they’re solving problems and collaborating with theThat’s the iManage way.

Qualifications

  • You are passionate about building and deploying AI systems that work at scale in production.
  • You bring hands-on depth in both model development and the infrastructure required to ship it reliably, and you thrive at the intersection of machine learning, software engineering, and cloud infrastructure.
  • into viable technical solutions
  • Conducting code reviews and providing constructive feedback to team members
  • Contributing to best practices and standards for AI engineering across the team
  • iM Qualified Because I Have…
  • A Bachelor’s, Master’s, or Ph.
  • in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics, or a related field
  • 3+ years of experience in ML/AI engineering or software engineering
  • Hands-on experience building and shipping LLM systems into production
  • Deep proficiency in Python and modern AI frameworks, including PyTorch and Hugging Face
  • Solid understanding of ML fundamentals including hands-on experience with both traditional ML and modern generative AI and transformer architectures

Responsibilities

  • iM Responsible For…

Skills

Front Desk Operations

Degrees

AssociatePhD

Industry

EnergyGamingHealthcareInsurancePublic-sectorSaas

Company size

EnterpriseSmb