Remote Machine Learning Engineer (Recommender Systems & Databricks)

Description:

• Factored is seeking a Machine Learning Engineer who is passionate about building state-of-the-art recommender systems and leveraging Generative AI.
• The role involves working with large-scale data using tools like Databricks and Spark to contribute to innovative AI solutions that enhance personalized experiences.
• Responsibilities include designing and implementing recommender systems to improve product discovery and enhance customer engagement across digital and physical platforms.
• The engineer will build and manage scalable machine learning pipelines for data processing, feature engineering, model training, and deployment.
• The position requires developing and refining machine learning models to tackle complex problems, optimizing performance through parameter tuning and experimentation.
• Collaboration with software engineers, data scientists, and business stakeholders is essential to integrate models into production and address key business challenges.
• The engineer will monitor and maintain deployed models, ensuring performance, reliability, and alignment with evolving business needs through continuous improvement practices.
• Staying informed on advancements in AI and machine learning, incorporating innovative techniques, and contributing to knowledge-sharing initiatives is also part of the role.

Requirements:

• A Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field is required.
• Proven experience as a Machine Learning Engineer, demonstrating successful development and deployment of recommender systems is essential.
• Strong programming skills in languages such as Python, along with experience with machine learning libraries/frameworks like TensorFlow, PyTorch, or scikit-learn are necessary.
• Extensive experience handling large-scale data processing and analysis using Spark/PySpark within Databricks, including its native platform services is required.
• A solid understanding of machine learning algorithms, deep learning, and statistical modeling techniques is crucial.
• Strong knowledge of experimental design, A/B testing, and performance evaluation metrics for machine learning solutions is needed.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker) is a plus.
• Excellent verbal and written communication skills in English are mandatory.

Benefits:

• Factored offers a supportive, dynamic, and collaborative team environment that values honesty and transparency.
• Employees are provided with the flexibility to work from home, promoting a healthy work-life balance.
• The company is committed to investing in employees' career and professional growth in meaningful ways.
• A transparent workplace culture where everyone has a voice in building the company is emphasized.
• Opportunities for learning and growth are available based on merit, not just on previous experience.
• The company fosters a fun and engaging work atmosphere, encouraging team bonding through various activities outside of work.