Machine Learning Engineer – New Graduate

Making a career change is a big decision. Why consider Revionics?

Join a team of remarkable colleagues who are deeply committed to creating and delivering cutting-edge pricing solutions for the global retail market. At Revionics, we are dedicated to helping you achieve and surpass your career aspirations. You'll enjoy access to industry-leading training programs, global development opportunities, and the chance to thrive within a diverse culture spanning offices in nine countries. Our inclusive culture is rooted in our Company's purpose: to make a difference for every colleague, every client, every day.

Revionics sets the standard in retail pricing innovation by leveraging advanced artificial intelligence technologies, including predictive AI, conversational AI, generative AI, and agentic AI. These cutting-edge tools streamline the retail pricing lifecycle, driving measurable business success for our clients. Each year, our solutions enable pricing strategies for retail products that collectively generate over $3 trillion in revenue across leading grocery, health and beauty, DIY, and convenience retailers worldwide.

We invite you to join us in bringing innovative solutions to market as part of the worldwide leader in retail pricing.

Revionics, an Aptos Company, is seeking a Machine Learning Engineer.

The Science team, within the Product Org, plays a central role at the company and is responsible for the different AI/ML solutions (modeling, forecasting, optimization, agentic AI etc) at Aptos. As an ML engineer on the Science team, you will get to be part of a skilled and diverse team while working with a mix of data scientists and engineers. You’ll not only have the opportunity to learn/use state-of-art machine learning techniques but also implement/roll-out modern engineering frameworks. 

About the Role:

The ML engineer role is responsible for designing, building, deploying, and evolving the end-to-end AI/ML systems at Aptos’ (demand modeling and forecasting, optimization, AI, etc.) 

Qualifications:

• Bachelor's/Master’s degree in computer science, engineering, or related STEM field, or equivalent work experience
• Strong algorithmic problem-solving skills and an analytical mindset
• Development experience with one or more of the following, or another similar language: Python, C/C++, Java for minimum 1 year
• Familiarity with Machine Learning software such as Tensorflow, Pytorch, Scikit-Learn, Spark MLLib, etc.
• Familiarity with GenAI / LLM concepts such as agent frameworks, workflows, evaluation, RAG, prompting, fine-tuning, etc.
• Able to communicate, collaborate, and work effectively in a distributed team.
• Can think about and write high quality code and can demonstrate that capability, be it through job experience, schoolwork, or contributions to community projects.
• Complete course work/experience with Algorithms, Distributed Systems, Databases
• Solid understanding of software engineering concepts and methodologies
• Familiarity with software testing principles
• Enjoy tough technical challenges and are naturally intellectually curious
• Seek to drive change and influence others through clear and effective communication. 

The pay range for this position is between $80,000 - 95,000 plus Incentive Bonus. Starting salary may vary based on a number of factors including, but not limited to, the position being offered, location, education, training, and/or experience.

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