Machine Learning Engineer

Company: Kantar
Location: Linden
Posted on: May 27, 2023

Job Description:

Kantar is the world's leading marketing data and analytics company. We have a complete, unique and rounded understanding of how people think, feel and act; globally and locally in over 90 markets. By combining the deep expertise of our people, our data resources and benchmarks and our innovative analytics and technology, we help our clients understand people and inspire growth.Job Details Title: Machine Learning Engineer Location: Remote It's time for a new vision of ad intelligence. Vivvix unifies the advertising intelligence businesses of Kantar and Numerator into an independent company built for innovation, focused on delivering winning clarity for our clients to drive more thoughtful, faster, better decisions. Our vision is to help anyone understand their competitive landscape and view all the dimensions of advertising that might go unseen. At Vivvix, we have three powerful tenets. We help clients build up a greater understanding of your competitive landscape. We level up advertisers, agencies, and media owners to take command over competitors. We enable them to power up and chart a winning path for themselves. We are seeking an experienced Machine Learning Engineer (MLE) to join our team. The MLE will be responsible for using machine learning to increase efficiency in extracting information from large custom datasets and implementing and deploying machine learning models to drive business objectives. The ideal candidate will have a strong background in machine learning and data science, with a consistent record of delivering high-quality, production-ready solutions. Responsibilities:

• Using machine learning to increase efficiency in extracting information from large custom datasets
• Capable of understanding and implementing pioneering methods based on research papers and/or open source libraries, and push beyond the state-of-the-art.
• Experience with implementing efficient and scalable software systems in Python.
• Create and lead training and deployment pipelines
• Knowledge of machine learning evaluation techniques, failure modes, and limitations.Requirements:
  • Degree in Computer Science, Engineering, Statistics, or a related field
  • Minimum 3 years of professional experience working in Natural Language Processing or closely related field, with demonstration of successful delivery of novel research and/or product offerings.
  • Strong programming skills in Python and experience with ML/AI frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face or similar)
  • Familiarity and experience with model deployment on cloud platforms and services (e.g., Azure, GCP, AWS)
  • Experience with software engineering best practices such as version control, automated testing, CI/CD
  • Creative, collaborative, and innovation-focused
  • Strong sense of project ownership and personal responsibility
  • Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc
  • Able to communicate scientific concepts to both technical and non-technical audiences. Nice to Have:
    • Experience working with large-scale, distributed systems
    • Capability to contribute at the system architecture level to enhance scalability, testability, robustness.
    • Record of contributions to open-source machine learning projects, or related endeavors
    • Experience writing detailed documentation of machine learning systems.BenefitsWe provide a comprehensive, highly competitive benefits package, including
      • Medical plans with comprehensive, affordable coverage for a range of health services
      • Health Savings Account/FSA
      • Dental, Vision and benefits to cover unique healthcare needs
      • Wellness Program
      • 401k with matching
      • Tuition Reimbursement, Commuter benefits
      • Unlimited PTOAt Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver. We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that's out of the ordinary and join us. We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted, and are allowed to flourish in a space where their mental health and wellbeing is taken into consideration. We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.At Kantar, the diversity of our employees provides a richer environment for our employees and broader depth and breadth of thinking for our clients. Kantar is committed to inclusion and diversity; therefore, we welcome applications from all sections of society and do not discriminate on the basis of age, race, religion, gender, pregnancy, sexual orientation, gender identity, disability, marital status or any other legally protected characteristics.PRIVACY DISCLOSURE: Please note that by applying to this opportunity you consent to the personal data you provide to us to be processed and retained by The Kantar Group Limited ("Kantar"). Your details will be kept on our Internal ATS (Applicant Tracking System) for as long as is necessary for the purposes of recruitment, which may include your details being shared with the hiring manager.The salary range for this role in Pennsylvania is 71,500-119,100 Annual . Your final base salary will be determined based on several factors which may include but are not limited to location, work experience, skills, knowledge, education and/or certifications. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.CountryUnited States of AmericaWhy join Kantar?We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, nobody knows people better than Kantar.And because we know people, we like to make sure our people are looked after as well. Equality of opportunity for our people is our highest priority and we encourage our people to work in a way that supports their health and wellbeing. While we encourage our colleagues to spend part of their working week in the office, we understand no one size fits all, and we're flexible in our approach to ensure people feel included and accepted. We're committed to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, which is why we welcome applications from all background and sections of society. Even if you feel like you're not a perfect fit, we'd love to receive your application and talk to you about this job or others at Kantar.

Keywords: Kantar, Scranton , Machine Learning Engineer, Engineering , Linden, Pennsylvania