Senior Machine Learning Engineer Are you an accomplished software engineer looking for a new challenge that leverages your expertise in machine learning? Imagine a role where you can make a significant impact on the future of the financial system, all while working with cutting-edge technologies and a team that values innovation and collaboration.As a Senior Machine Learning Engineer, you'll be at the forefront of building critical infrastructure that powers the open financial system. You'll work with diverse data sources, including the blockchain, to provide millions with access to cryptocurrency and protect against malicious activities. Beyond security, you'll enhance user experiences by integrating intelligence into recommendations, risk assessments, chatbots, and more, making our product both secure and user-friendly.Our ML team is part of the Platform Product Group, dedicated to creating a trusted, scalable, and compliant platform. This group builds the foundations used by multiple products and teams, ensuring a consistent and high-quality user experience.Role Review:<ul><li>Explore and apply advanced machine learning techniques, such as deep learning, large language models (LLMs), and graph neural networks, to solve diverse challenges like fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining.</li><li>Develop and deploy robust, low-maintenance machine learning solutions in a production environment.</li><li>Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources, fostering a culture of widespread ML adoption.</li></ul>What You Bring:<ul><li>Experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.</li><li>Proficiency in one or more areas: data mining, information retrieval, advanced statistics, natural language processing, or computer vision.</li><li>Embody core cultural values: add positive energy, communicate clearly, be curious, and be a builder.</li></ul>Additional Assets:<ul><li>PhD with 3+ years of relevant experience, or MS in Computer Science, Machine Learning, Data Mining, Statistics, or related field with 5+ years of relevant experience.</li><li>Experience with Python.</li><li>Skills in data analysis and visualization</li></ul>Pay: Depending on your location, the target annual salary for this position varies. Full-time offers include a target bonus, target equity, and benefits (medical, dental, vision, and 401(k)). Desired Skills and Experience Python, deep learning, large language models (LLMs), and graph neural networks

Senior Machine Learning EngineerDallas-Fort Worth (DFW) Area / Remote (East or Central Time Zones)$175,000 - $200,000 + Bonus Company: The company builds advertising marketplaces that allow publishers to monetize their inventory while helping advertisers achieve their performance goals, with a focus on enhancing the customer experience. They are seeking a talented Machine Learning Engineer to join their Data Science team, where the engineer will play a key role in developing and deploying scalable, innovative models. Success in this role requires experience deploying complex models in high-throughput, low-latency environments, a solid foundation in ML algorithms, and a passion for delivering measurable results in a fast-paced environment. Role: <ul><li>Collaborate with data scientists, engineers, and stakeholders to translate business goals into machine learning solutions.</li><li>Develop and implement machine learning models for tasks like recommendation systems, NLP, and predictive analytics.</li><li>Deploy models in production, ensuring scalability and reliability with the engineering teams.</li><li>Monitor and optimize models, proactively addressing performance issues.</li><li>Stay updated on the latest ML research and technologies to enhance model effectiveness.</li><li>Document processes and share insights to promote team collaboration and knowledge sharing.</li></ul> Requirements: <ul><li>You need to have a MSc or PhD level in Stem subject.</li><li>You must have proven knowledge in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist.</li><li>DevOps experience in CI/CD.</li><li>Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow.</li><li>Experience using Python is a must (tools like AWS and Spark are beneficial)</li><li>Excellent communication skills and team and colleague engagement.</li><li>A keen interest in problem-solving and using scalable machine learning to solve the biggest data-related problems</li></ul> Salary and Benefits<ul><li>$170,000 - $200,000 base salary</li><li>Bonus </li><li>Remote work flexibility for East or Central Time Zones, with a preference for candidates near the Dallas-Fort Worth area.</li></ul> How to Apply Please register your interest by sending your CV via the Apply link on this page. Desired Skills and Experience Machine learning engineering, MLOps

Senior Machine Learning EngineerDallas-Fort Worth (DFW) Area / Remote (East or Central Time Zones)$175,000 - $200,000 + Bonus Company: The company builds advertising marketplaces that allow publishers to monetize their inventory while helping advertisers achieve their performance goals, with a focus on enhancing the customer experience. They are seeking a talented Machine Learning Engineer to join their Data Science team, where the engineer will play a key role in developing and deploying scalable, innovative models. Success in this role requires experience deploying complex models in high-throughput, low-latency environments, a solid foundation in ML algorithms, and a passion for delivering measurable results in a fast-paced environment. Role: <ul><li>Collaborate with data scientists, engineers, and stakeholders to translate business goals into machine learning solutions.</li><li>Develop and implement machine learning models for tasks like recommendation systems, NLP, and predictive analytics.</li><li>Deploy models in production, ensuring scalability and reliability with the engineering teams.</li><li>Monitor and optimize models, proactively addressing performance issues.</li><li>Stay updated on the latest ML research and technologies to enhance model effectiveness.</li><li>Document processes and share insights to promote team collaboration and knowledge sharing.</li></ul> Requirements: <ul><li>You need to have a MSc or PhD level in Stem subject.</li><li>You must have proven knowledge in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist.</li><li>DevOps experience in CI/CD.</li><li>Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow.</li><li>Experience using Python is a must (tools like AWS and Spark are beneficial)</li><li>Excellent communication skills and team and colleague engagement.</li><li>A keen interest in problem-solving and using scalable machine learning to solve the biggest data-related problems</li></ul> Salary and Benefits<ul><li>$170,000 - $200,000 base salary</li><li>Bonus </li><li>Remote work flexibility for East or Central Time Zones, with a preference for candidates near the Dallas-Fort Worth area.</li></ul> How to Apply Please register your interest by sending your CV via the Apply link on this page. Desired Skills and Experience Machine learning engineering, MLOps

Machine Learning Engineer Jobs in Dallas, TX

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Machine Learning Engineer Jobs in Dallas, TX

Sr Machine Learning Engineer 200K RemoteNovember 9, 2024

Senior Machine Learning EngineerNovember 6, 2024

Senior Machine Learning EngineerNovember 4, 2024

Senior Machine Learning Engineer Nlpllm FocusNovember 4, 2024

Senior Machine Learning EngineerNovember 1, 2024

Senior Machine Learning EngineerOctober 31, 2024