Full Stack ML Engineer

Technology


USA - Remote - Maryland

About the job

The purpose of this role is to maintain, improve, clean and manipulate data in the business’s operational and analytics databases. The Data Engineer works with the business’s software engineers, data analytics teams, data scientists and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyse performance, and troubleshoot any existent issues.
  • Cutting-Edge Technologies: Join a dynamic team at the forefront of innovation, working with cutting-edge LLM and GenAI technologies.
  • High-Visibility Projects: Take part in exciting, high-visibility projects developing products for Dentsu and Merkle customers. Your work will directly impact the experiences of enterprise users worldwide, providing valuable solutions and insights to industry-leading companies.
  • Collaborative Environment: Thrive in a collaborative and supportive work environment, where your ideas are valued and your contributions are recognized. Join a diverse team of experts who are passionate about driving innovation and making a difference in the world.
  • Career Development: We are committed to the professional growth and development of our employees. Take advantage of ongoing learning opportunities, mentorship programs, and career advancement paths to achieve your goals and reach your full potential.

Job Description

  • 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 Innovation Lead and this position is remote

Qualifications

  • 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 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.
  • You will have experience in building distributed internet-scale systems and machine learning infrastructure.

Additional information

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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We are aware of several scams targeting job seekers and candidates. Please be vigilant. All communication throughout the recruitment process will be from an official member of the dentsu recruitment team, using corporate email addresses (e.g., @dentsu.com or @merkle.com). We will never ask you to send money or vouchers to secure employment. If you suspect you have been a victim of a scam, please report the incident to your bank, local police, or fraud protection authority immediately. Additionally, you can report the scam to us at jobfraud@dentsu.com so we can take appropriate action to request the website is taken down. Please note that Merkle and dentsu are not responsible for any losses incurred as a result of these scams. We advise all individuals to exercise caution and verify the authenticity of any job offers or communications received.