ML Researcher (NXJ-129)

Newxel Tech LLC

Job Overview

Location

Indiana, USA

Job Type

Full-time

Full Job Description

📋 Description

• Are you a seasoned Machine Learning Researcher with a passion for transforming raw data into impactful, production-ready solutions? Newxel Tech LLC is seeking an experienced ML Researcher to spearhead the entire lifecycle of machine learning projects within our dynamic, AI-powered performance marketing company. This is a unique opportunity to take full ownership, from the initial spark of an idea to the final, optimized deployment and ongoing monitoring of ML models that drive significant business value.
• In this pivotal role, you will be instrumental in designing, building, and deploying sophisticated machine learning models, with a primary focus on tabular data. Your expertise will be crucial in tackling complex predictive and ranking challenges that underpin our performance marketing operations. You will not just build models; you will ensure their seamless integration into our production environment, guaranteeing their scalability, reliability, and sustained performance.
• Your responsibilities will span the entire ML workflow. This includes the meticulous development, rigorous training, and thorough evaluation of machine learning models. You will delve deep into data across the entire user funnel, identifying opportunities to enhance campaign performance and optimize marketing spend. A significant part of your role will involve direct contribution to production-focused modeling, ensuring that the solutions you create are not only theoretically sound but also practically applicable, scalable to handle vast amounts of data, and robust enough for real-world, high-stakes environments.
• We are looking for an individual who thrives on end-to-end ownership. This means you will be comfortable navigating the entire ML project lifecycle, from the initial research and conceptualization phases through to the critical stages of production deployment and continuous monitoring. You will be adept at extracting meaningful predictive signals from complex, often messy, real-world datasets at scale, transforming noise into actionable insights.
• A key aspect of this role involves training models on Big Data, requiring an understanding of distributed computing and efficient data processing techniques. Furthermore, you will be tasked with optimizing these models for inference latency, ensuring that our systems can respond in real-time to the demands of high-volume performance marketing campaigns. This requires a keen eye for performance tuning and algorithmic efficiency.
• You will leverage your hands-on experience with cloud-based ML platforms, embracing MLOps best practices. This includes proficiency in experiment tracking to meticulously document and reproduce research, robust model versioning to manage iterations effectively, and implementing CI/CD pipelines for automated testing and deployment. Experience in deploying models to production environments, including packaging, building inference APIs, and optimizing for low latency, is highly valued.
• Strong programming skills in Python are essential, complemented by solid experience with key tabular ML libraries such as scikit-learn, PyTorch, pandas, and polars. Your technical toolkit will be further enhanced by a solid understanding of experimental design principles, the nuances of causality, and the application of robust model validation techniques to ensure the integrity and reliability of your findings.
• Collaboration will be a cornerstone of your work. You will work closely with data engineering teams to ensure seamless integration with existing data pipelines, contributing to the overall data infrastructure that powers our ML initiatives. This collaborative spirit extends to working with cross-functional teams to understand business needs and translate them into effective ML solutions.
• This role offers the chance to make a tangible impact within a cutting-edge AI-powered performance marketing company. You will be part of a proprietary technology stack that connects with major advertising and tracking ecosystems, enabling real-time optimization and reliable measurement. Your work will directly contribute to streamlining day-to-day operations, providing centralized monitoring, fast feedback loops, and automated controls that significantly reduce manual effort for performance teams.
• By developing in-house machine learning capabilities, you will help drive smarter decision-making across core workflows. This includes improving operational efficiency, maintaining stable campaign performance, and scaling campaigns with consistency, all while maintaining a sharp focus on measurable business outcomes and ROI. If you are driven by innovation, possess a deep technical understanding of ML, and are eager to own impactful projects from conception to completion, we encourage you to apply.

🎯 Requirements

• Bachelor’s degree in Machine Learning, Statistics, Computer Science, or a related quantitative field.
• 3+ years of hands-on experience developing and deploying ML models specifically for tabular data, demonstrating a strong grasp of underlying methodologies and practical application.
• Proven track record of owning ML projects end-to-end, from initial research and problem formulation through to production deployment and ongoing performance monitoring.
• Demonstrated ability to extract predictive signals from complex, messy, real-world data at scale, employing advanced feature engineering and data preprocessing techniques.
• Experience training ML models on Big Data and optimizing them for efficient inference latency in production environments.
• Hands-on experience with cloud-based ML platforms and MLOps practices, including experiment tracking, model versioning, CI/CD, and deployment pipelines.
• Strong proficiency in Python and extensive experience with core tabular ML libraries (e.g., scikit-learn, PyTorch, pandas, polars).
• Solid understanding of experimental design, causality, and robust model validation techniques to ensure the reliability and interpretability of ML solutions.
• Experience working collaboratively with data engineering pipelines and teams.

🏖️ Benefits

• Competitive salary and comprehensive benefits package.
• Medical insurance coverage.
• Provision of a top-tier equipment kit to facilitate your work.
• Fully remote work arrangement, offering flexibility and work-life balance.
• A collaborative and innovative work environment fostering creativity and continuous learning.
• Ample opportunities for career growth and professional development.
• The chance to collaborate with a talented, driven, and professional team.

Skills & Technologies

Python

Flask

FastAPI

Docker

PyTorch

Remote

Degree Required

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Newxel Tech LLC

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About Newxel Tech LLC

Newxel is a global technology staffing and R&D services company that builds dedicated remote development teams and R&D centers for startups and enterprises. Founded in 2016, it provides end-to-end recruitment, HR, legal, and operational support to help clients scale engineering capacity quickly across Eastern Europe. The company focuses on fintech, e-commerce, cybersecurity, and AI verticals, delivering 1000+ engineers to more than 120 clients in 25 countries while handling compliance, payroll, and workplace setup.

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