Our client’s leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. Their campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience.

They are seeking a Machine Learning Engineer to join their team on a full-time basis. In this role, you will design, develop, and deploy machine learning models and algorithms to enhance digital performance marketing platforms. You’ll collaborate with cross-functional teams to solve complex problems and deliver scalable solutions.

Job Title: Machine Learning Engineer

Location: Fully Remote. Candidates must be in the United States to be considered.

Required Technology & Skills

Master’s degree in computer science, Machine Learning, Data Science, or a related field.
2+ years in machine learning, data analysis, or a related role
Proficiency in programming languages such as Python or Scala
Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
Strong understanding of algorithms, data structures, and statistical methods
Excellent problem-solving skills, and an analytical mindset
Familiarity with cloud technologies (AWS, GCP, Azure)
Familiarity with containerization tools such as Docker or Kubernetes

Additional Skills

Experience in digital marketing or ad tech industries
Knowledge of natural language processing (NLP) and recommender systems
Excellent written and verbal communication skills

Benefits/Perks

Comprehensive Benefits Package (health, dental, vision)
Opportunities for professional growth and development
Dynamic and inclusive workplace culture
Quarterly visits to their Foster City, CA location
Annual Bonus
Equity

Compensation: $160-175k base salary, depending on experience.

Additional Information: For additional information or to apply, please contact Alexa Buzby at abuzby@talener.com

Talener AI Jobs

Latest Jobs

Machine Learning Engineer