Machine Learning Engineer

Whalar is seeking a Machine Learning Engineer to join their team. As a global creator commerce company, Whalar enables creators, brands, and social platforms to collaborate and drive business growth. The Machine Learning Engineer will be responsible for designing and developing machine learning models, as well as building tools and dashboards for monitoring and analyzing social media performance. The ideal candidate will have a degree in Computer Science or a related field, along with experience in data science and machine learning. Additionally, experience with data visualization tools and excellent communication skills are required.

• Design and develop machine learning models, including labeling, model development, training, validation, and deployment at scale to a SaaS platform.
• Build tools and dashboards for monitoring, analyzing, visualizing, and forecasting social media performance and campaigns using internal and third-party data sources.
• Collaborate with Product, DevOps, and Engineering teams to define deliverables, make decisions within time constraints, and provide regular progress reports to both technical and non-technical users.

• 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.
• Hands-on experience in machine learning model lifecycle management from labeling to model development, training, validation, and deployment.
• Ability to set requirements to DevOps and work alongside BE and Product on defining deliverables, choosing best options given a constrained time frame, and report regularly on progression to both technical and non-technical users.
• Experience with NER, fine-tuning LLMs, training RLHF, Chatbots, Video Understanding, and Recommendation Systems (preferred).
• Experience using Kubeflow, LangChain, MLflow, Argilla, FastAPI, Flask (preferred).
• 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 (preferred).
• 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 (preferred).

• Remote working option
• Flexible benefits and collaborative work environments/experiences
• Company-wide yearly bonus
• Private medical insurance
• 25 days of PTO + Sick days + Winter break
• Monthly tele work allowance
• Professional development stipend
• Home office allowance
• English language classes
• Calm App subscription (Add up to 4 dependents)
• Fwrd personal development App subscription
• Volunteer Days
• Social Programs
• 4.5 day work week