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Entry-Level Python / AI Engineer [32869]

Remote · USA Full-time New today

About the Role

We’re looking for a motivated Entry-Level Python / AI Engineer to join our growing engineering team in San Francisco. This role is ideal for recent graduates or early-career engineers who are passionate about Python, machine learning, and building real-world AI-driven products. You’ll work closely with senior engineers, data scientists, and product teams to design, build, and deploy intelligent systems that impact real users. What You’ll Do

  • Write clean, efficient Python code for AI/ML-driven applications
  • Assist in developing, training, and evaluating machine learning models
  • Work with data pipelines, APIs, and backend services
  • Collaborate with cross-functional teams to translate requirements into solutions
  • Debug, test, and optimize models and applications
  • Learn and apply best practices in software engineering and AI development

Requirements (Must-Have)

  • Bachelor’s degree in Computer Science, Engineering, AI, or related field (or equivalent experience)
  • Strong foundation in Python
  • Basic understanding of machine learning concepts (supervised/unsupervised learning)
  • Familiarity with libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow
  • Understanding of data structures, algorithms, and OOP
  • Strong problem-solving and communication skills

Nice-to-Have

  • Internship or project experience in AI/ML or data science
  • Experience with SQL, APIs, or cloud platforms (AWS, GCP, Azure)
  • Exposure to LLMs, NLP, or computer vision
  • Git/version control experience

What We Offer

  • Competitive base salary up to $150,000
  • Mentorship from experienced AI and software engineers
  • Opportunity to work on cutting-edge AI products
  • Fast learning, high-impact environment
  • Career growth in AI, ML, and software engineering

Who Should Apply

  • Recent graduates or engineers with 0–2 years of experience
  • Strong Python skills and a genuine interest in AI/ML
  • Curious, driven, and eager to learn in a fast-paced environment

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