Immediate Hiring: Experienced Machine Learning Engineer – Artificial Intelligence and Data Science Expert for Retail Decision Automation

About Workwarp

At Workwarp, we're revolutionizing the way businesses approach innovation and technology. As a leading-edge company, we're dedicated to harnessing the power of artificial intelligence and data science to drive real-world results. Our team of experts is passionate about pushing the boundaries of what's possible, and we're looking for like-minded individuals to join us on this exciting journey.

About the Role

We're seeking an experienced Machine Learning Engineer to join our Retail Decision Automation team. As a key member of our team, you'll be responsible for developing and implementing cutting-edge machine learning algorithms to drive the next generation of retail decision automation. If you're passionate about AI, data science, and innovation, we want to hear from you!

Key Responsibilities

• Collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to develop and implement machine learning algorithms.
• Contribute to the ongoing improvement of our ML infrastructure and tooling.
• Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering.
• Mentor other Machine Learning Engineers and lead an effort to build scalable end-to-end machine learning solutions for our retail customers.
• Develop and implement machine learning models for product search, recommendation systems, personalization, Generative AI, and optimizing Apple-wide systems & infrastructure.

Minimum Qualifications

• 5+ years of related experience, including 2+ years experience in machine learning.
• Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building highly scalable distributed systems.
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (eg: Spark, SQL, Snowflake/Hadoop, etc).
• Understanding of machine learning model lifecycle from prototyping, feature engineering, training, inference, deployment, monitoring and continuous improvements via deep analysis.

Key Qualifications

• Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
• Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture.
• Skilled in communication, problem solving, critical thinking.
• Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus.
• Experience with Spark, TensorFlow, Keras, and PyTorch a plus.

Skills and Competencies

To succeed in this role, you'll need to possess a unique blend of technical, business, and interpersonal skills. You'll be working closely with cross-functional teams, so strong communication and collaboration skills are essential. You'll also need to be a lifelong learner, staying up-to-date with the latest advances in machine learning and software engineering.

Career Growth Opportunities and Learning Benefits

We're committed to helping our employees grow and develop their careers. As a Machine Learning Engineer at Workwarp, you'll have access to a range of learning and development opportunities, including training programs, mentorship, and career coaching. You'll also have the opportunity to work on high-impact projects and collaborate with some of the brightest minds in the industry.

Work Environment and Company Culture

We're a remote-friendly company, with a flexible and dynamic work environment. Our team is passionate about innovation and collaboration, and we're committed to creating a culture that's inclusive, diverse, and supportive. We're proud to be an equal opportunity employer, and we welcome applications from candidates of all backgrounds.

Compensation, Perks, and Benefits

We offer a competitive salary and a range of benefits, including health insurance, retirement savings, and paid time off. We also offer a range of perks, including flexible working hours, remote work options, and access to the latest technology and tools.

How to Apply

If you're passionate about machine learning, data science, and innovation, we want to hear from you! To apply for this role, please click the link below and submit your application. We can't wait to hear from you!

Why Work at Workwarp?

At Workwarp, we're passionate about innovation and collaboration. We're committed to creating a culture that's inclusive, diverse, and supportive, and we're proud to be an equal opportunity employer. If you're looking for a challenging and rewarding career, with opportunities to grow and develop, we want to hear from you!