Jobs Data Science

Remote – Full-time – Flexible Hours - Shifted schedule to EST (New York) timezone

About TenViz

TenViz Predictive Analytics builds AI-powered solutions that help Fortune 100 investors anticipate market shifts before they become consensus. We combine financial expertise, mathematical rigor, and AI research to deliver predictive analytics for institutional investors.

Your Expertise

• Strong interest in quantitative and algorithmic approaches
• BSc/MSc in Math, Physics or related field with solid background in statistics, linear algebra and probability theory
• Advanced Linear Algebra, Advanced Statistics, Using Linear Algebra methods in Statistical analysis
• 2+ years in data research, quantitative modeling, ML prototyping, and backtesting
• Skilled in Python, SQL, Git
• Experience with  experiment tracking, pipeline orchestration and workflow automation

Nice to have:

• Bayesian inference, reinforcement learning, or ensemble methods
• Financial econometrics, time-series forecasting, or regime modeling

What You’ll Do

• Design predictive models using probabilistic, ML, and hybrid approaches
• Analyze large-scale financial datasets to detect hidden patterns and early regime shifts
• Prototype and evaluate algorithms, from deep learning to Bayesian models
• Write production-grade research code in Python/SQL that integrates into pipelines
• Translate results into insights and themes investors can act on — not just outputs

Example projects:

• Forecasting inflation via commodity price signals
• Constructing probabilistic forecasts of currency moves around macroeconomic announcements
• Designing a Bayesian model to estimate recession probabilities from yield curve dynamics
• Designing a regime-aware ML pipeline that switches models depending on market conditions
• Creating hybrid ensembles that outperform traditional benchmarks

What’s in It for You

• Remote-first, flexible hours
• Paid vacation & holidays (after 8 months)
• Continuous learning: advanced ML/DL workshops, probabilistic methods, optimization
• Supportive, collaborative team — no micromanagement, focus on trust and creativity
• Work on real financial problems where your models influence billion-dollar decisions

A product company is looking for an AI Lead Engineer (on-site) in Warsaw.

✅ It's a Silicon Valley Company, a successful market leader.

The B2C platform, based on the best-quality global video technology.

✅They offer: stock options grant, medical insurance (for you + 75% coverage for your relatives), free lunches and parking, multisport card.

✅Requirements: experience with Python, LLM, and RAG. Strong leadership experience.

Welcome to King Group - a place where the best people from the IT and gambling industries meet to do amazing things together. We operate numerous projects in the iGaming sector in the markets of Ukraine, Europe and the USA, invest in venture startups, promising ideas and people.
 

One of our companies is a game studio that deals with the full cycle of iGaming product development. From idea to release, we combine creativity, modern technologies and deep analytics to create a unique gaming experience. Our mission is to excite, inspire and shape the future of the industry.

Our company is looking for a math expert who has a drive and passion (perhaps some experience) for games.

Key skills (it's not necessary to have all key skills, but more is better than less):

• Higher education in mathematics or related fields (related to research, analytics or data processing);
• Have a strong math background (especially probability theory, statistics, combinatorics);
• Advanced knowledge of MS Excel (statistical, mathematical functions);
• Be proficient at one (at least) programming language (Python is preferable);
• Knowledge of one of the CAS (Mathematica, Mathcad, Maxima);
• Have a strong math background (especially probability theory, statistics, combinatorics);
• Have previous experience in gaming industry or (and) have experience in playing slots (or any other probabilistic games (poker, blackjack, etc));
• Understand the time and memory complexity of your code;
• Be keen on details (Yes, it's really important at this position);
• Understanding OOP Concepts;
• Experience in developing mathematical models.
   

Nice to have:

• Experience in using git;
• Experience in using JIRA.
   

Responsibilities: 

• Prepare math for slot games;
• Discuss with business/ propose new game ideas/new feature ides;
• Implement game logic of new features, games;
• Gather games' statistics by precise calculations / running simulations of the games;
• Make games attractive for players from the math side.
   

Why we:

• Social Package;
• Medical care;
• Sick Days;
• Professional development support;
• Family-like atmosphere. You can check it out yourself ;)
• Great career prospects.
  
  Do you want to grow with us? Do you have the desire to take an active part in creating a product? Send your resume and let's get to know each other ;)

🔥 We’re looking for a highly skilled Data Expert!🔥

Product | Remote

About the role 

​​We’re looking for a data engineer/scientist who bridges technical depth with curiosity. You’ll help Redocly turn data into insight — driving smarter product, growth, and business decisions.

This role combines data governance, analytics, and development. You’ll build reliable data pipelines, improve observability, and uncover meaningful patterns that guide how we grow and evolve.

You’ll work closely with product and technical teams to analyze user behavior, run experiments, build predictive models, and turn complex findings into actionable recommendations. You’ll also design and support systems for collecting, transforming, and analyzing data across our stack.

What you’ll do 

• Analyze product and user behavior to uncover trends, bottlenecks, and opportunities.
• Design and evaluate experiments (A/B tests) to guide product and growth decisions.
• Build and maintain data pipelines, ETL processes, and dashboards for analytics and reporting.
• Develop and validate statistical and machine learning models for prediction, segmentation, and forecasting.
• Design and optimize data models for new features and analytics (e.g., using dbt).
• Work with event-driven architectures and standards like AsyncAPI and CloudEvents.
• Collaborate with engineers to improve data quality, consistency, and governance across systems.
• Use observability and tracing tools (e.g., OpenTelemetry) to monitor and improve performance.
• Create visualizations and reports that clearly communicate results to technical and non-technical audiences.
• Support existing frontend and backend systems related to analytics and data processing.
• Champion experimentation, measurement, and data-driven decision-making across teams.

You're a great fit if you have 

• 5+ years of software engineering experience, with 3+ years focused on data science or analytics.
• Strong SQL skills and experience with data modeling (dbt preferred).
• Solid understanding of statistics, hypothesis testing, and experimental design.
• Proven experience in data governance, analytics, and backend systems.
• Familiarity with columnar databases or analytics engines (ClickHouse, Postgres, etc.).
• Experience with modern data visualization tools.
• Strong analytical mindset, attention to detail, and clear communication.
• Passionate about clarity, simplicity, and quality in both data and code.
• English proficiency: Upper-Intermediate or higher.

Nice to have

• Understanding of product analytics and behavioral data.
• Experience with causal inference or time-series modeling.
• Strong proficiency with Node.js, React, JavaScript, and TypeScript.
• Experience with frontend or backend performance optimization.
• Familiarity with Git-based workflows and CI/CD for data pipelines.
   

How you’ll know you’re doing a great job

• Teams make better product decisions, faster, because of your insights.
• Data pipelines are trusted, observable, and performant.
• Experiments drive measurable product and business outcomes.
• Metrics and dashboards are used across teams — not just built once.
• You’re the go-to person for clarity when questions arise about “what the data says.”

About Redocly

Redocly builds tools that accelerate API ubiquity. Our platform helps teams create world-class developer experiences — from API documentation and catalogs to internal developer hubs and public showcases. We're a globally distributed team that values clarity, autonomy, and craftsmanship. You'll work alongside people who love developer experience, storytelling, and building tools that make technical work simpler and more joyful.

Headquarter – Austin, Texas, US. There is also an office in Lviv, Ukraine.

Redocly is trusted by leading tech, fintech, telecom, and enterprise teams to power API documentation and developer portals. Redocly’s clients range from startups to Fortune 500 enterprises.

https://redocly.com/

Working with Redocly

• Team: 4-6 people (middle-seniors)
• Team’s location: Ukraine&Europe
• There are functional, product, and platform teams and each has its own ownership, and line structure, and teams themselves decide when to have weekly meetings.
• Cross-functional teams are formed for each two-month cycle, giving team members the opportunity to work across all parts of the product.
• Methodology: Shape Up

Perks

• Competitive salary based on your expertise (approximately $6,000 - $6,500 per month)
• Full remote, though you’re welcome to come to the office occasionally if you wish.
• Cooperation on a B2B basis with a US-based company (for EU citizens) or under a gig contract (for Ukraine).
• After a year of working with the company, you can buy a certain number of company’s shares
• Around 30 days of vacation (unlimited,  but let’s keep it reasonable)
• 10 working days of sick leave per year
• Public holidays according to the standards
• No trackers and screen recorders
• Working hours – EU/UA timezone. Working day – 8 hours. Mostly they start working from 10-11 am
• Equipment provided – MacBooks (M1 – M4)
• Regular performance reviews

Hiring Stages

• Prescreening (30-45 min)
• HR Call (45 min)
• Initial Interview (30 min)
• Trial Day (paid)
• Offer

If you are an experienced Data Scientist, and you want to work on impactful data-driven projects, we’d love to hear from you! 

Apply now to join our team!

Ready to level up your career?

Our innovative BI unit is looking for a passionate Machine Learning Engineer to join the team. If you thrive on working with cutting-edge technologies and are eager to enhance our systems, we want to hear from you. Join us to drive impactful projects in a dynamic and forward-thinking environment.

Your influential mission. You will...

• Develop production data science applications in Python, end to end.
• Design and develop new AI services from scratch.
• Maintain and enhance current data science pipelines in complex high-load applications.
• Collaborate closely with R&D and DevOps teams.
• Research, invent and adapt machine learning algorithms for dedicated business needs.
• Perform predictive and statistical modelling.
• Perform ad-hoc analyses as required.

Components for success. You...

• Bring a minimum of 3 years of experience as a Python developer (including familiarity with PyCharm, git, and debugging).
• Possess a minimum of 3 years of experience in predictive modeling, preferably within data science production services.
• Have at least 3 years of experience in tabular or time series data analysis in a data developer, data scientist, or data analyst role.
• Demonstrate proficiency in SQL for data manipulation and visualization.
• Are a strong team player, with excellent communication skills, capable of working collaboratively in a remote environment.
• Have a high level of English proficiency.
• Hold a Bachelor's degree in Engineering, Economics, Mathematics, Statistics, or similar.

You'll get extra points for...

• Experience in REST API and cloud deployment.
• Knowledge of AWS or GCP.
• Master's degree in Engineering, Economics, Mathematics, Statistics, or similar.
• Having experience in direct communication with business.

Thrive in a culture that values...

• Engaged User Experiences - We develop personalized recommendations and churn mitigation strategies to keep users coming back for more.
• Data-Driven Decision Making -  We generate insightful reports to empower informed decisions across the organization.
• Cutting-Edge Technologies -  We're constantly exploring and integrating new technologies to enhance our capabilities.
• Responsible Development - We prioritize responsible user experiences through innovative solutions.

AI Unit
We're an innovative team designing and developing AI-powered services to fit complex business needs in the constantly evolving gaming market. We're passionate about pushing the limits and creating unique solutions with a big positive impact.

Join us and be a part of the future!

About The Role

As a Senior/Lead Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 5-6+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work
• Upper-intermediate English proficiency (B2 or higher).
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

 Computer Vision Engineer (3D Reconstruction)

We are seeking a Computer Vision Engineer to develop a high-precision 3-D reconstruction and measurement systems utilizing Shape from Polarization ( SfP). In this role, you will bridge the gap between optical physics and geometry to extract submillimeter surface details from polarimetric data.

Crucial Skills (Must-Have Foundation)

● Solid understanding of the nature of polarized light and the use of the Stokes vector to
describe light states.
● Strong proficiency in linear algebra and vector calculus, particularly for coordinate
system transformations, 3D geometry, and extracting signals from noisy data.
● Fluency in Python (NumPy, SciPy) for data analysis and algorithm implementation.
● Experience with standard computer vision libraries for image filtering, alignment, and
feature detection, such as OpenCV and scikit-image.

Useful & Desirable Skills (Nice-to-Have)

● Familiarity with surface normals, depth maps, and Shape-from-X techniques (e.g.,
shading, stereo, or motion).
● Experience working with polarization cameras.
● Deep understanding of light reflection and scattering across different materials and
surface textures.
● Experience with normal integration approaches for 3D reconstruction to recover continuous surfaces.
 

Are you passionate about turning data into powerful consumer experiences? At PMI, we’re transforming our business and shaping a smoke-free future — and data is at the heart of that journey. We’re looking for a Data Scientist who will be responsible for developing ML & AI-powered solutions that drive personalization, audience targeting, and strategic decision-making. If you thrive in a fast-paced, collaborative environment and want to work with cutting-edge technologies like LLMs and generative AI, this is your opportunity to make a real impact.
 

What You’ll Do:
 

• Design Smart Audience Strategies
   Segment and profile consumer databases to uncover high-value audiences. Build data-driven frameworks for targeting and personalization that align with business goals and drive measurable impact.
• Build Scalable ML & AI Solutions
   Develop and optimize large-scale data pipelines using advanced machine learning and AI. Create predictive models for segmentation, personalization, and behavioral forecasting—continuously improving accuracy and performance.
• Operationalize Insights Across Channels
   Integrate analytics and predictive models into CRM, marketing automation, and digital platforms. Collaborate with cross-functional teams to enable real-time personalization and optimize campaign performance.
• Lead External Data Acquisition & Partnerships
   Source and manage 2nd/3rd party data from retailers, telcos, digital platforms, and research providers. Own the full process—from defining technical requirements and templates to budget oversight and vendor negotiations.
• Drive Innovation with Emerging AI Technologies
   Explore and implement cutting-edge AI tools like LLMs, STTs, and generative AI. Prototype and scale solutions for content generation, sentiment analysis, and conversational automation—always with a focus on ethical AI and business value.

• Be a Thought Leader & Collaborator
   Act as a go-to expert in analytics and AI. Mentor teams, manage external partners, and champion innovation across the organization.

   

Who Are We Looking For?
 

Hard Skills

• Higher Education in Computer Science, System Analysis, Informatics, Mathematics.
• 2+ years of experience translating complex business problems into actionable insights through hands-on analytics.
• 1.5+ years of experience in data science, machine learning, and predictive modeling.
• Strong SQL and Python skills (e.g., NumPy, Pandas, scikit-learn, Matplotlib).
• Experience with BI tools like Power BI, Looker or Tableau.
• Solid understanding of the ML lifecycle — from EDA to production deployment.
• Experience with LLMs, NLP, STT, or audio analytics is a strong plus.
• English: Upper-Intermediate or higher.

Soft Skills

• High level of autonomy, ownership, and accountability.
• Excellent communication skills — able to explain complex ideas clearly.
• Passion for solving meaningful problems and improving consumer experience.
• Curiosity and drive to stay ahead in the fast-evolving analytics and AI landscape.
   

What We Offer: 
 

Our success depends on our talented employees who come to work here every single day with a sense of purpose and an appetite for progress. Join PMI and you too can:

• Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.
• Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong.
• Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.
• Take pride in delivering our promise to society: to deliver a smoke-free future.

Quantum is a global technology partner delivering high-end software products that address real-world problems. 

We advance emerging technologies for outside-the-box solutions; We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.

About the position

Quantum expands the team in Central Europe and has brilliant opportunities for Data Science Engineers. 

If you are interested in working on areas related to Data Analysis, fintech, image processing, and solving real-world challenges with innovative technologies, apply for the vacancy below. 

Must have skills:

• At least 1,5 years of commercial experience as a Data Science Engineer
• Strong knowledge of linear algebra, calculus, statistics, and probability theory
• Knowledge and experience with algorithms and data structures
• Strong experience with Machine Learning
• Expertise in areas of Computer Vision or Natural Language Processing
• Knowledge of modern Neural Networks architectures (DNN, CNN, LSTM, etc.)
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL
• Strong knowledge of OOP
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Experience with production ML/DL frameworks (OpenVino, TensorRT, etc.)
• Docker practical experience
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development of Machine Learning / Computer Vision / Deep Learning / NLP solutions; Developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

Join Quantum and take a step toward your data-driven future.

Hello!

We are E-Com, a team of Foodtech and Ukrainian product lovers.

And we also break stereotypes that retail is only about tomatoes. Believe me, the technical part of our projects provides a whole field for creativity and brainstorming.

What we are currently working on:

• we are upgrading the existing delivery of a wide range of products from Silpo stores;
• we are developing super-fast delivery of products and dishes under the new LOKO brand.

We are developing a next-generation Decision Support Platform that connects demand  planning, operational orchestration, and in-store execution optimization into one unified Analytics and  Machine Learning Ecosystem. 

The project focuses on three major streams: 

•  Demand & Forecasting Intelligence: building short-term demand forecasting models, generating  granular demand signals for operational planning, identifying anomalies, and supporting commercial  decision logic across virtual warehouse clusters. 

•  Operational Orchestration & Task Optimization: designing predictive models for workload  estimation, task duration (ETA), and prioritization. Developing algorithms that automatically map  operational needs into structured tasks and optimize their sequencing and allocation across teams. 

•  In-Store Execution & Routing Optimization: developing models that optimize picker movement,  predict in-store congestion, and recommend optimal routes and execution flows. Integrating store  layout geometry, product characteristics, and operational constraints to enhance dark-store  efficiency. 

You will join a cross-functional team to design and implement data-driven decision module that directly  influence commercial and operational decisions. 

Responsibilities:

•  develop and maintain ML models for forecasting short-term demand signals and detecting anomalies  across virtual warehouse clusters;

•  build predictive models to estimate task workload, execution times (ETA), and expected operational  performance;

•  design algorithms to optimize task distribution, sequencing, and prioritization across operational  teams;

•  develop routing and path-optimization models to improve picker movement efficiency within dark  stores; 

•  construct data-driven decision modules that integrate commercial rules, operational constraints, and  geometric layouts;

•  translate business requirements into ML-supported decision flows and automate key parts of  operational logic; 

•  build SQL pipelines and data transformations for commercial, operations, and logistics datasets;

•  work closely with supply chain, dark store operations, category management, and IT to deliver  measurable improvements;

•  conduct A/B testing, validate model impact, and ensure high-quality model monitoring. 

Requirements:

•  bachelor’s Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer  Sciences / Finance; 

•  at least 2 years working experience on Data Science; 

•  strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques; 

•  proven experience with SQL (Window functions, CTEs, joins) and Python;

•  expertise in Machine Learning, Time Series Analysis and application of Statistical Concepts  (Hypothesis testing, A/B tests, PCA); 

•  ability to work independently and decompose complex problems. 

Preferred:

•  experience with Airflow, Docker, or Kubernetes for Data Orchestration; 

•  practical experience with Amazon SageMaker: training, deploying, and monitoring ML models in a  production environment; 

•  knowledge of Reporting and Business Intelligence Software (Power BI, Tableau, Looker); 

•  ability to design and deliver packaged analytical/ML solutions. 

What we offer

• competitive salary;
• opportunity to work on flagship projects impacting millions of users;
• flexible remote or office-based work (with backup power and reliable connectivity at SilverBreeze Business Center);
• flexible working schedule;
• medical and Life insurance packages;
• support for GIG contract or private entrepreneurship arrangements;
• discounts at Fozzy Group stores and restaurants;
• psychological support services;
• Caring corporate culture;
• a team where you can implement your ideas, experiment, and feel like you are among friends.

We are seeking a Data Scientist with a strong foundation in physics, control theory, and mathematical modeling to join our team working on cutting-edge autonomous systems. The ideal candidate combines analytical rigor with practical experience in modeling, simulation, and algorithm development for autonomous platforms.

Levels: Middle and Senior (responsibilities and scope will be adjusted accordingly).

Key Responsibilities

• Develop and validate mathematical models for autonomous systems and dynamic environments.
• Apply data-driven approaches for system identification, optimization, and predictive control.
• Analyze large datasets from sensors and simulations to extract insights and improve system performance.
• Design and implement algorithms for control, navigation, and decision-making.
• Collaborate with cross-functional teams to integrate models into real-world autonomous platforms.

Required Qualifications

• 3+ years in R&D or applied data science/software development.
• Strong background in mathematical modeling, system identification, and control theory.
• Proficiency in Matlab/Simulink for modeling and simulation.
• Experience in signal processing and data analysis.
• Programming skills in Python and C++.
• Ability to quickly research and apply recent trends in control theory, autonomous systems, and data-driven modeling.
• Relevant work experience or education in STEM field

Nice to Have

• Knowledge of aerodynamics fundamentals.
• Experience with Machine Learning (e.g., reinforcement learning, predictive modeling).
• Familiarity with simulation tools such as Gazebo, AirSim.
• Hands-on experience with SITL/HITL testing.
• Exposure to flight control stacks like PX4, Betaflight, ArduPilot.

We are looking for a Junior Data Scientist eager to grow in the field of autonomous systems, with a focus on computer vision, control theory, and data-driven modeling. This role is ideal for someone with strong analytical skills and a passion for applying data science to real-world autonomy challenges.

Levels: Junior and Strong Junior (responsibilities and scope will be adjusted accordingly).

Key Responsibilities

• Assist in developing vision-based algorithms for perception and navigation.
• Support data analysis and sensor fusion for multi-sensor systems.
• Contribute to modeling and simulation tasks under guidance from senior engineers.
• Work with datasets from cameras, IMUs, and other sensors to extract insights.
• Stay up-to-date with recent research in computer vision, autonomy, and data science.

Required Qualifications

• 2+ years of experience in computer vision or data analysis.
• Understanding of geometric computer vision principles.
• Basic knowledge of control theory, PID controllers, signal processing, and data-driven modeling.
• Programming skills in Python and C++.
• Familiarity with Linux and single-board computers.
• Strong willingness to learn and adapt quickly.
• Relevant work experience or education in STEM field

Nice to Have

• Exposure to SLAM or Visual-Inertial Odometry (VIO).
• Familiarity with OpenCV, NumPy, and basic ML frameworks (PyTorch, TensorFlow).
• Knowledge of ROS2, Gazebo, or AirSim.
• Experience with PX4, Betaflight, or ArduPilot.
• Basic understanding of neural networks and CV frameworks.
• Interest in reinforcement learning or predictive modeling.

As a Machine Learning Engineer, you'll work as part of the Wix CTO Office team, researching problems that can give Wix’s products a competitive edge across various challenges. A key focus of the team is on Agents over LLMs, exploring new techniques for building agents and developing innovative products that leverage them.  

In your day-to-day, you will:  

• Build POCs for research projects led by the team  
• Evaluate results and provide actionable insights  
• Collaborate with different teams at Wix to advance their agent implementations  

• Build shared infrastructure for agents  

   

Requirements

• Creativity and willingness to tackle ambitious, high-risk problems  
• 3+ years of experience in working on production code with active users  
• BSc in Computer Science or related field, MSc preferred  
• Proficient in Python; TypeScript is a significant advantage  
• Experience in training and evaluating Machine Learning models  
• Hands-on experience with building GenAI systems using LLMs and agents  
• Proven ability to work in a collaborative, cross-functional environment  
• Excellent written and verbal communication skills in English 

About the Team  

We are Wix's Data Science CTO Office team, a small group of researchers and engineers. We collaborate with various groups at Wix and the CEO on innovative research projects. Some projects aim to enhance Wix products with new features, while others focus on strategic research areas that can provide Wix with a competitive advantage.

Опис:

Our platform supports AI-generated creatives and uses contextual signals, consent frameworks, and privacy-compliant data to select and serve ads.
We are looking for an experienced Data Scientist to work on Teza’s data-driven optimization layer. You will design and develop the intelligence that powers our data-driven decision-making.
 

Вимоги:

- BSc/MSc/PhD in Data Science, ML, Statistics, or related field
- Strong experience in ML modeling, feature engineering, and experimentation
- Experience in ad tech, marketing tech, or real-time bidding is a must!
- Experience with predictive modeling and ranking/recommendation systems
- Experience working with large-scale datasets (BigQuery, Spark, etc.)
- Strong Python skills
- Experience with embeddings, text classifiers, and LLM-based scoring
- Strong SQL skills

Обов'язки:

- Build bidding AI models
- Analyze large-scale events data for data to drive decision-making
- Improve campaign selection, and safety classifier
- Develop AI metrics for real-time optimization
- Work closely with engineering, product, and AI teams on core logic

Буде плюсом:
- Experience with reinforcement learning or bandits
- Knowledge of DSP/RTB systems
- Experience with fraud detection or brand safety
- Experience deploying ML models in production
- Experience with campaign optimization in Google/Facebook/RTB

We are looking for the first Data Science engineers to join our team and play a foundational role in building a private Large Language Model from the ground up. This is a rare opportunity to shape the technical direction, influence architectural decisions, and establish best practices for intelligent systems within the organization.

What you will do: 

• Design, build, and maintain classical machine learning models to support core product needs.
• Develop agent-based systems (LLM agents, multi-step agents, agent-to-agent workflows) as part of the broader LLM ecosystem.
• Conduct rigorous experiments and iterate quickly to validate approaches and improve system performance.
• Build and optimize inference pipelines, including performance tuning, monitoring, and alerting.
• Collaborate closely with Data Engineering to deploy models securely and reliably into production environments.

• Contribute to defining standards, workflows, and tooling for the new Data Science function.

   

What we expect:

• 3+ years of hands-on experience with Python.
• Strong SQL skills and understanding of data workflows.
• Solid grasp of machine learning methods and their practical applications.
• Experience building agents or agent-based systems is a strong plus.
• Initiative, ownership, and readiness to work in a greenfield environment where many solutions must be defined from scratch.