.Machine Learning Engineer : Recently named one of Fast Company's Most Innovative Companies and AdAge's A-List Awards Social Media/Influencer Agency of the Year, Whalar is a global creator commerce company that enables creators, brands, and the world's leading social platforms to work better together to drive business growth for all. We help brands stay culturally relevant through strategic creator relationships that deliver entertaining and must-see content at scale. We are differentiated by our unique capabilities, including comprehensive creator talent management, brand partnership expertise, proprietary technology, and a dedicated Web3 innovation practice. Our team includes over 300 diverse storytellers, creatives, data, and technology specialists across North America, Europe, APAC, and MENA. We power the Creator Economy. We are Whalar.Location: RemoteResponsibilities Designing and developing machine learning models, owning every step of the lifecycle from labeling, model development, training and validation to deployment at scale to a SaaS platform.Building tools and dashboards for monitoring, analyzing, visualizing and forecasting social media performance and campaigns using internal and 3rd party data sources.Working alongside Product, DevOps, and Engineering on defining deliverables, choosing the best options given a constrained time frame, and reporting regularly on progression to both technical and non-technical users.Experience B.Sc. Degree or higher in Computer Science, Applied Mathematics, or related disciplines.4+ years experience in data science, machine learning, recommendation systems, or artificial intelligence in a professional technology, marketing or media environment.Experience researching and using supervised and unsupervised machine learning algorithms such as classification, regression, clustering and rule-based models in the fields of NLP primarily, or computer vision.Experience working with data visualization or reporting tools such as Tableau, Looker, Shiny, or Dash.Excellent written and verbal communication skills.Would be a Plus if also:Experience with NER, fine-tuning LLMs, training RLHF, Chatbots, Video Understanding, and Recommendation Systems.Experience using Kubeflow, LangChain, MLflow, Argilla, FastAPI, Flask.Experience with Elastic Search, AWS, Relational DBs, querying datasets using Python, R and/or SQL, accessing and automating data pulls from internal and external API's.Passionate about creating or consuming content on major social media platforms like Instagram and TikTok and has experience working with 3rd party data sourced from social media platform API's, Google Analytics, and audience tools.Our Values Our people are our superpowers. At Whalar, diversity, equity, inclusion, and accessibility are at the core of who we are. We are deeply committed to reflecting on the unique journeys, authentic voices, and perspectives of our people, our creators, and the communities they represent