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Entry-Level Python / AI Engineer [32869]

Stealth Startupvia LinkedIn
RemotoSan Francisco, California, UsSêniorCLT8 dias atrás

Salário Estimado

R$ 15.015,00 - R$ 22.523,00

Descrição da Vaga

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

Requisitos

  • 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
  • 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
  • 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
  • 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

Responsabilidades

  • You’ll work closely with senior engineers, data scientists, and product teams to design, build, and deploy intelligent systems that impact real users
  • 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

Benefícios

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

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Informações

NívelSênior
ContratoCLT
LocalSan Francisco, California, Us
RemotoSim
MoedaBRL
Publicada8 dias atrás
FonteLinkedIn

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