Machine Learning Engineer

Summary

Join Whalar Group, a leading creator company, as a Machine Learning Engineer in Tallinn, Estonia (remote work within Estonia or EU relocation possible). You will significantly impact the organization by designing and developing machine learning models, building monitoring tools, and collaborating with cross-functional teams. This role involves the entire ML lifecycle, from data labeling to deployment, and requires expertise in various algorithms and technologies. The ideal candidate possesses extensive experience in machine learning and a strong understanding of social media analytics. Whalar offers a flexible benefits package including generous PTO, professional development stipends, parental leave, and various other perks.

Requirements

• B.Sc. Degree or higher with focus on ML 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 environment, preferred in a marketing or media management setting
• 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, and/or computer vision
• Excellent written and verbal communication skills

Responsibilities

• Design and develop machine learning models, owning every step of the lifecycle from labeling, model development, training and evaluation to deployment at scale to a SaaS platform
• Build tools and dashboards for monitoring, analyzing, visualizing and forecasting social media performance and campaigns metrics using internal and 3rd party data sources
• Work alongside Product, DevOps and Engineering on defining deliverables, choosing best options given a constrained time frame and reporting regularly on progression to both technical and non-technical users

Preferred Qualifications

• Experience with Recommendation Systems, NER, fine tuning LLMs, training RLHF, Chat bots, Video Understanding
• Experience using PyTorch, SageMaker, FastAPI, LangChain, Argilla, Streamlit
• 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

Benefits

• 25 days of PTO + Sick days + Winter break
• Monthly phone/internet reimbursement
• Professional development stipend
• New joiner Home office allowance
• 16 weeks of paid maternity/paternity leave
• Calm App subscription (Add up to 4 dependents)
• Volunteer days
• Social programs