iTradeNetwork, Inc.

iTradeNetwork, Inc.

AI/ML Software Engineer

Bay Area, CA · Full-time

Sponsorship not specifiedDetected 28 days ago
PythonSwiftReactAngularBackend DevelopmentFull-Stack DevelopmentData StructuresAlgorithmsCode ReviewSQLNoSQLAWSGCPAzureCloud PlatformsCI/CDMachine LearningTensorFlowPyTorchData EngineeringData ScienceLLMsRAGMLOps

About the role

  • This is a role for someone who wants to grow fast.

Responsibilities

  • Build and ship AI-powered full stack applications - from model integration to user-facing interfaces - using modern frameworks and cloud-native infrastructure.
  • Partner with data scientists to bring ML models into production: wrapping them in APIs, optimizing inference pipelines, and monitoring performance in live environments.
  • Own end-to-end data pipelines that support model training, validation, and deployment workflows.
  • Develop frontend experiences (React or similar) that surface AI-driven insights in intuitive, responsive interfaces.

Requirements

  • Must be able to demonstrate lawful ability to work in the United States
  • Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience).
  • Hands-on experience with web development (React, Angular, or comparable framework).
  • Comfort with both SQL and NoSQL databases.

Nice to have

  • Experience with Python ML libraries: TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying ML workloads in the cloud.
  • Exposure to LLM APIs, prompt engineering, or retrieval-augmented generation (RAG) patterns.
  • Knowledge of MLOps tooling: experiment tracking, model registries, CI/CD for ML pipelines.
  • You think AI-first - when approaching a problem, your instinct is to ask how intelligence can be built into the solution, not added as an afterthought.
  • You move fast and learn faster.
  • You're comfortable with ambiguity and excited by the pace of change in the AI space.
  • You take ownership.

Compensation

  • Why you will love working here:
  • Competitive salary packages
  • 401(k) matching
  • All iTradeNetwork positions are hybrid unless listed otherwise; candidates must be located in the hub(s) listed.

Benefits

  • Comprehensive medical, dental, vision, and life insurance benefits for you and your family
  • Flex PTO for exempt employees and competitive PTO for non-exempt
  • Paid parental leave for eligible employees
  • Tuition reimbursement on approved programs
  • Great health & well-being benefits including Teladoc for general medical and mental health care
  • Participate in code reviews and collaborative design discussions - learning from senior engineers while sharing your own perspective.
  • Understanding of core AI/ML concepts: supervised and unsupervised learning, neural networks, model evaluation.
  • These benefits are only applicable to full-time employees

Company info

  • From the start, we've been dedicated to tackling the most pressing challenges within food and beverage supply chains, delivering innovative solutions and expert support that make a measurable impact.
  • Our cutting-edge technology helps businesses streamline complex procurement and fulfillment processes, minimize food waste, optimize inventory, manage compliance risk, and scale profitably.
  • We're proud to serve an elite customer base, including 13 of the top 25 North American grocers, 8 of the top 10 foodservice distributors, and 8 of the top 10 global food and beverage manufacturers.
  • iTradeNetwork's purpose is to feed the world - and everything we do is guided by the principles below.
  • Every team member is expected to embody and champion these principles across the organization.
  • We value speed and avoid analysis paralysis.
  • We develop conviction, make informed decisions quickly, and take calculated risks to maintain momentum - knowing that swift progress is essential for innovation and growth.
  • We work relentlessly to delight our customers.
  • We work backward from their needs to solve pain points and create solutions that surprise and earn their loyalty.
  • We obsess over customers, not competitors.
  • We operate with facts, not opinions.
  • To feed the world.
  • Bias for Action
  • Customer Obsession
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