Machine Learning Engineer

EveryMatrix; United States; Remote; USD 50,000 - 75,000; Full time

Benefits offered by this job

Health insurance

Meal allowance

Private health insurance and extended

Flexible work schedule

Travel expenses

Job summary

EveryMatrix in Zagreb, Croatia, is seeking a passionate Machine Learning Engineer to design, build, and optimize data‑driven ML models for betting and gaming applications. You will translate business problems into mathematical solutions and deploy models into production with engineers.

You will work across data preprocessing, feature engineering, model evaluation, and real‑time data processing, leveraging Python and modern ML frameworks.

Qualifications

• Strong background in mathematics, statistics or machine learning.
• Experience building, evaluating and deploying ML models in production environments, incl. deep learning.
• Knowledge of neural network architectures and state‑of‑the‑art techniques.
• Proficiency in Python and ML libraries/frameworks.
• Experience with data preprocessing and feature engineering.
• Understanding of performance metrics and model validation strategies.
• Ability to translate business problems into mathematical and technical solutions.
• Strong analytical thinking and problem solving.
• Fluent in English, both written and spoken.
• Experience in betting, gaming, fintech or data‑intensive industries.
• Experience with cloud environments and ML deployment pipelines.
• Knowledge of real‑time data processing systems.
• Experience with generative AI projects and CRISP‑DM style workflows.
• MLOps experience on cloud or on‑premises.

Responsibilities

• Analyze business requests and design data‑driven ML models.
• Collect, clean and prepare data for model training and evaluation.
• Evaluate and compare modelling techniques and measure performance.
• Implement approved models in collaboration with developers and productionize them.
• Support product teams with mathematical expertise for new features or optimizations.
• Provide guidance on model usage, interpretation and limitations.
• Monitor model performance and continuously improve accuracy and reliability.
• Collaborate cross‑functionally to drive product innovation and decision making.

Skills

Deep learning architectures

Python

Data preprocessing

Model evaluation techniques

MLOps (cloud or on‑premises)

Real‑time data processing

English fluency

AI/ML concepts in betting or fintech

Job description

Описание

EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1500 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. Zagreb office is part of OddsMatrix, which empowers clients to unleash bold ideas and deliver outstanding player experiences. For over a decade, we have offered tailored B2B sports betting solutions for every market. Featured services include turnkey betting software (online, retail and omnichannel), real-time sports data APIs and data feeds. We are looking for a passionate and dedicated Machine Learning Engineer to join our team in Zagreb, Croatia!

Требования

• Strong background in mathematics, statistics or machine learning.
• Experience building, evaluating and deploying ML models in production environments, specifically deep learning architectures.
• Knowledge of and good awareness on when to use different Neural Network architectures, up to and including the current state of the art.
• Proficiency in Python (or similar language) and experience with ML libraries/frameworks.
• Experience with data preprocessing, feature engineering and model evaluation techniques.
• Understanding of performance metrics and model validation strategies.
• Ability to translate business problems into mathematical and technical solutions.
• Strong analytical thinking and problem‑solving skills.
• Fluent in English, both written and spoken.
• Experience in betting, gaming, fintech or similar data-intensive industries.
• Experience with cloud environments and ML deployment pipelines.
• Knowledge of real‑time data processing systems.
• Experience with generative AI projects – architecture, planning, training, tracking/assessment and iteration.
• Experience with working across all steps of a complete data science framework (for ex. CRISP).
• MLOps experience on the cloud or on‑premises.

Условия

• Analyze business requests and design, develop and optimize data‑driven machine learning models.
• Collect, clean and prepare data for model training and evaluation.
• Evaluate and compare various mathematical and statistical modeling techniques, measuring performance and identifying improvement opportunities.
• Implement approved ML models in collaboration with developers and ensure smooth integration into production environments.
• Support product teams with mathematical expertise (e.g., creating formulas for new betting features or optimizing existing algorithms).
• Provide guidance to internal stakeholders on model usage, interpretation and potential limitations.
• Monitor model performance and continuously improve accuracy, scalability and reliability.
• Act as a strong analytical partner within a cross‑functional team, contributing to product innovation and decision‑making.
• A salary from 4.000 EUR - 6.000 EUR (gross/brutto1).
• Sliding work schedule (start anytime between 8:00 to 10:00 am).
• Start with 23 days of annual leave, with 2 additional days added each year, up to 33 days by your fifth year with us.
• Benefit from two Free Fridays each year, limited to one per quarter.
• Support for New Parents: 21 weeks of paid maternity leave, with the flexibility to work from home full‑time until your child turns 1 year old.
• 4 weeks of paternity leave, plus the flexibility to work from home full‑time until your child is 13 weeks old.
• Our office perks include on‑site massages, and frequent team‑building activities in various locations.
• Monthly meal allowance.
• Paid Personal Days for specific life events, including but not limited to childbirth, wedding, relocation, blood donation, and volunteering.
• Private health insurance and an extended health plan – Wiener; annual medical checks at the Aviva polyclinic.
• Access online learning platforms like Udemy for Business or O’Reilly and a budget for external training.
• Multisport card.
• Travel expenses – depending on the place of residence.
• Easter, Christmas, summer and referral bonuses.

At EveryMatrix, we’re committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification.