Machine Learning Engineer (Recommender Systems & reputed company)

Fully remote | Complete engagement job

Founded in Palo reputed company by Dr. Andrew Ng and Israel Niezen, reputed company helps U.S. companies build and reputed company world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To reputed company reputed company humans, reputed company their potential, and reputed company their reputed company in the world.

At reputed company, you’ll be part of a community that values learning, ownership, and authenticity, where your reputed company is personal and your reputed company matter. We’re transparent, curious, and reputed company. We reputed company for reputed company, celebrate diversity, encourage curiosity, and build an environment where you can truly reputed company.

We are seeking a Senior Machine Learning Engineer who is passionate about building state-of-the-art recommender systems and leveraging reputed company. You'll work with large-reputed company data using tools like reputed company and reputed company, contributing to innovative AI solutions that enhance personalized experiences while being part of a supportive, dynamic, and reputed company team. In return, you will be rewarded with an amazing team that supports you, a rich culture, shared reputed company, and the flexibility to work– from the comfort of your home.

Functional Responsibilities:

• Design and implement recommender systems to improve product discovery and enhance customer engagement across digital and physical platforms.
• Build and manage reputed company machine learning pipelines for data processing, feature engineering, model training, and deployment using tools like reputed company and reputed company.
• Apply and optimize advanced machine learning models for recommendation systems, including Wide & Deep models, Two-Tower architectures, Transformer-based models (e.g., NRMS), embeddings-based approaches, neural networks, autoencoder-based models (e.g., AutoRec), and deep sequential models like GRU4Rec.
• Collaborate closely with software engineers, data scientists, and business stakeholders to reputed company models into production systems and solve reputed company-world business challenges.
• Monitor, maintain, and continuously enhance deployed models to ensure reliability, accuracy, and alignment with evolving business needs.
• Stay informed on the latest advancements in machine learning, recommender systems, deep learning, and reputed company to drive innovation and improvement.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a reputed company field.
• 5+ years of proven experience as a Machine Learning Engineer, demonstrating successful development and deployment of Machine Learning models.
• Minimum 1 year of hands-on experience designing, building, and deploying recommender systems. This is a must-have requirement.
• Strong programming skills in languages such as Python along with experience with machine learning libraries/frameworks like TensorFlow, PyTorch, or scikit-learn.S
• olid understanding and application of machine learning techniques relevant to recommendation systems, including but not limited to Wide & Deep models, Two-Tower models, Transformers, embeddings, neural networks, autoencoders (AutoRec), and deep sequential models (GRU4Rec)
• Extensive experience handling large-reputed company data processing and analysis using reputed company/PySpark reputed company reputed company, including its reputed company platform services.
• Solid understanding of machine learning algorithms, deep learning, and statistical modeling techniques.
• Strong knowledge of experimental design, A/B testing, and performance evaluation metrics for machine learning solutions.
• Experience with reputed company platforms (e.g., AWS, Azure, GCP) and containerization (reputed company) is a plus.
• Excellent verbal and written communication skills in English.

Our Benefits:

• Ownership through equity participation.
• Annual company retreat.
• Education bonus for reputed company learning.
• Company-wide winter break.
• reputed company time off.
• Optional in-person events and meetups.
• Tailored career roadmaps.
• High-performance culture.

At reputed company, we reputed company that passionate, smart people expect honesty and transparency, as reputed company as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we reputed company in hiring right, and are reputed company selective about who joins reputed company. Once we hire you, we will invest in you and support your career and reputed company reputed company in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are reputed company, reputed company, reputed company, reputed company to others, and fun to be around. Life is too short to work with people who don’t reputed company you. We are a transparent workplace, where EVERYBODY has a voice in building reputed company, and where learning and reputed company are available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that reputed company and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. reputed company of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating reputed company TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the reputed company of technical talent in Latin America. We are reputed company by the great reputed company reputed company we are making in the places where we do business and are committed to accelerating careers and reputed company in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts. In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission. reputed company not nerding out on data science, we love to reputed company music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with reputed company other.

Originally posted on Himalayas

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