Machine Learning Engineer

Job Title: Machine Learning Engineer

Work Location: Tallinn, ES (This role is tied to our Tallinn Office but can be remote and sit anywhere in Estonia. We are also open to candidates who are EU citizens and want to relocate to Estonia)

Start Date: As Soon As Possible

Named one of WorkLife’s 50 Best Places to Work and one of Fast Company's Most Innovative Companies, Whalar Group is a global creator company on a mission to liberate the creative voice. 

Foam, a division of Whalar Group, is a cutting-edge SaaS platform designed to empower talent representatives in managing their day-to-day workflow and growing their businesses. Foam offers premium tools and features to agencies, enabling them to streamline their operations, enhance collaboration, win more business, and drive exceptional results for their clients.

We are a curious, diverse team of 300 individuals around the world who are passionate about the Creator Economy. Our proximity, understanding, and trust of creators evolved into a first-of-its-kind creator ecosystem. Under Whalar Group, there are six companies: Whalar, a global creator agency; Sixteenth, a full-service global, 360° creator and talent management company; Foam, a suite of AI tools, templates, and services; Moby Ventures, a creator-centric venture studio; Umi Games, a groundbreaking gaming studio; and The Lighthouse, an IRL campus for creators and their teams.

About the role:

You will have a profound impact on the organization and given the opportunity to influence strategic decisions, drive innovation, and contribute to cutting-edge projects that shape the future of our business. You will be building smart features using the latest technologies to empower our products, implement ML models, extract insights from our proprietary data, identify anomalies, surface trends, as well as improve our forecasting capabilities.

Here’s what you’ll do day-to-day:

• Designing and developing 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.

Experience:

• 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.
• An Ideal candidate has hands-on experience in machine learning model lifecycle management from labeling to model development, training, validation, and deployment, Is able to set requirements to DevOps & working 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.

Would be a Plus if also:

• 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.

Our values:

At Whalar, diversity, equity, and inclusion (DEI) isn't just a statement, it's our collective strength. Our people are our superpower. A diverse team and inclusive leadership have shaped Whalar since our inception in 2016, fueling a constant evolution of growth. We champion a culture of respect and empathy, fostering a sense of belonging that transcends demographics. We hire individuals of all backgrounds and empower them to thrive, challenge stereotypes, and actively break societal barriers. 

The perks:

Whalar Group provides flexible benefits and collaborative work environments/experiences, so employees can work productively in a setting that best and uniquely suits their needs.

• 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
• Volunteer days
• Social programs

Whalar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Equal opportunity extends to all aspects of the employment relationship, including hiring, promotions, training, working conditions, compensation, and benefits.