Senior Machine Learning (ML) Engineer - Remote

As a Merkle Senior ML Engineer:

• You will design and develop innovative, cloud-based solutions involving interconnected machine learning (ML) inference and training systems.
• You will write robust, production-quality code that contributes to the advancement of engineering solutions at Merkle.
• You will solve intricate engineering problems to enable a team of data scientists to deliver high-quality, production-ready applications.
• You will automate CI/CD pipelines using modern DevOps tools and frameworks.
• You will collaborate closely with a diverse team of 10+ data scientists and engineers across various organizational boundaries.
• You will spearhead the creation of scalable AI innovations in collaboration with foundation and infrastructure partners.
• You will report to VP, Analytics and this position is remote

• You will possess a Bachelor's degree in computer science or a related technical field, or equivalent practical experience.
• You will have 5+ years of industry experience in software design, development, and algorithmic solutions.
• You will have proficiency (5+ years) in programming with Python, with additional experience in languages such as Java, C/C++ preferred.
• You will have a strong understanding of RESTful APIs and API design principles.
• You will have excellent problem-solving and analytical skills.
• You will have strong communication and collaboration skills.
• You will work independently and as part of a team.

Preferred Qualifications:

• You will have 7+ years of relevant experience in building distributed internet-scale systems and machine learning infrastructure.
• You will have a Master's degree in computer science or a related technical discipline.
• You will have experience with modern LLM agent frameworks, such as LangChain.
• You will have a working knowledge in one or more of the following areas: machine learning (ML), data mining, information retrieval, search, or statistics.
• You will have the ability to diagnose technical issues, debug code, and automate routine tasks.

The anticipated salary range for this position is $94,000-$152,375. Salary is based on a variety of factors including relevant experience, knowledge, skills and other factors permitted by law. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available. For more information regarding dentsu benefits, please visit www.dentsubenefitsplus.com.

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About dentsu 
Dentsu is the network designed for what’s next, helping clients predict and plan for disruptive future opportunities in the sustainable economy. Taking a people-centered approach to business transformation, dentsu combines Japanese innovation with a diverse, global perspective to drive client growth and to shape society www.dentsu.com. 

We are champions for meaningful progress and we strive to be a force for good—for our people, for our clients, for the industry and for our society. We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment. Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all.

Dentsu (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee of the Company, on the basis of age, sex, sexual orientation, race, color, creed, religion, ethnicity, national origin, alienage or citizenship, disability, marital status, veteran or military status, genetic information, or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws. A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the Company. Please contact your recruiter if you need assistance completing any forms or to otherwise participate in the application process or to request or discuss an accommodation in connection with a job at the Company to which you are applying.