Junior Machine Learning Engineer

GCS Recruitment; Philadelphia (Philadelphia County); In loco; USD 85.000 - 110.000; Tempo pieno

Descrizione del lavoro

GCS Recruitment is seeking a Machine Learning Engineer I for remote work in the USA. The role targets early-career professionals passionate about building scalable ML solutions that enhance user experiences at scale.

You will collaborate with data scientists, software engineers, and product teams to deploy models that drive business impact, with emphasis on writing production-quality Python and building end-to-end ML pipelines.

Competenze

• Bachelor's or Master's degree in a quantitative field.
• 1–3 years of relevant experience or internships.
• Strong Python programming skills.
• Solid ML fundamentals: supervised learning, classification, regression, feature engineering, evaluation.

Mansioni

• Develop, train, and deploy ML models for personalization and recommendations.
• Build scalable data pipelines for feature engineering, training, evaluation, and inference.
• Collaborate with data scientists and software engineers to productionize models.
• Improve ranking models using large-scale behavioral data.
• Monitor model performance via experimentation and A/B testing.
• Write clean, maintainable Python code following best practices.
• Support initiatives that boost customer engagement with ML solutions.

Conoscenze

Python programming

Analytical thinking

Problem solving

Collaboration

Formazione

Bachelor's or Master's degree in CS/ ML/ AI/ Statistics/ Engineering

Strumenti

Scikit-learn

TensorFlow

PyTorch

Descrizione del lavoro

Machine Learning Engineer I

Remote (USA)

About the Role

We are seeking a talented and motivated Machine Learning Engineer I to join our growing team. This is an exciting opportunity for an early-career professional who is passionate about building machine learning solutions that create meaningful user experiences at scale.

The ideal candidate enjoys solving complex problems, writing production-quality code, and collaborating with cross-functional teams to develop and deploy intelligent systems. You will work closely with data scientists, software engineers, and product teams to build and optimize machine learning models that drive business impact.

Key Responsibilities

• Develop, train, and deploy machine learning models for personalization, recommendations, and customer-focused applications.
• Build scalable data pipelines for feature engineering, model training, evaluation, and inference.
• Collaborate with data scientists and software engineers to transition research and prototypes into production systems.
• Improve recommendation and ranking models using large-scale behavioral and engagement data.
• Monitor and evaluate model performance through experimentation, A/B testing, and data-driven analysis.
• Write clean, maintainable, and efficient Python code following software engineering best practices.
• Support initiatives that enhance customer engagement and business outcomes through machine learning solutions.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative field.
• 1-3 years of relevant experience, including internships, research, academic projects, or professional experience.
• Strong programming skills in Python.
• Solid understanding of machine learning fundamentals, including:
  • Supervised learning
  • Classification and regression
  • Feature engineering
  • Model evaluation and validation
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience working with SQL and large datasets.
• Familiarity with Git and software development best practices.
• Strong analytical and problem-solving skills.

Why Join Us?

• Work on machine learning products that impact large-scale user experiences.
• Collaborate with highly skilled engineers, data scientists, and researchers.
• Gain hands-on experience deploying production-grade machine learning solutions.
• Grow your expertise in modern ML technologies and scalable systems.
• Flexible remote work environment with opportunities for learning and career development.