{"schemaVersion":"jobsearcher.job.v1","id":"6a744d513da9e62d4d1c6233","url":"https://jobsearcher.com/jobs/6a744d513da9e62d4d1c6233","canonicalUrl":"https://jobsearcher.com/jobs/6a744d513da9e62d4d1c6233","title":"Machine Learning Engineer","description":"🚀 Machine Learning Engineer📍 Austin, TX (Hybrid/Remote Considered)💰 $140,000 - $180,000 BaseWe're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to join a highly technical platform engineering team supporting traders, analysts, and quantitative researchers.This is not a pure data science role. We're looking for an engineer who enjoys building robust production systems, scaling data and ML infrastructure, and working closely with front-office stakeholders to deliver real business impact.What you'll be doing:Building and maintaining ML and data platforms used for forecasting, optimization, and trading workflowsDesigning scalable cloud-native infrastructure and deployment pipelinesProductionizing quantitative models and analytics toolsDeveloping distributed data and compute systemsWorking directly with traders and business users to deliver reliable solutionsDriving engineering best practices across CI/CD, observability, testing, and automationTech stack includes:Python | AWS | Kubernetes | Docker | Terraform | Airflow | Spark | MLflow | Databricks | Kafka | CI/CDWe're interested in people from backgrounds such as:✔ Machine Learning Engineering✔ MLOps Engineering✔ Platform Engineering✔ Software Engineering (with ML/Data exposure)✔ Quant Development✔ Infrastructure EngineeringIdeal candidates will have strong Python skills, cloud and DevOps experience, and a track record of building production systems. Experience within energy, trading, forecasting, or quantitative environments is beneficial but not essential.If you'd like to learn more, please send me a message or apply directly.They prefer the role to be worked on a hybrid model of 1-2 days a week. Salary offered is $140,000-$180,000.","company":"X4 Engineering","rawCompany":"x4 engineering","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-06-25T03:44:09.870Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"🚀 Machine Learning Engineer📍 Austin, TX (Hybrid/Remote Considered)💰 $140,000 - $180,000 BaseWe're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to join a highly technical platform engineering team supporting traders, analysts, and quantitative researchers.This is not a pure data science role. We're looking for an engineer who enjoys building robust production systems, scaling data and ML infrastructure, and working closely with front-office stakeholders to deliver real business impact.What you'll be doing:Building and maintaining ML and data platforms used for forecasting, optimization, and trading workflowsDesigning scalable cloud-native infrastructure and deployment pipelinesProductionizing quantitative models and analytics toolsDeveloping distributed data and compute systemsWorking directly with traders and business users to deliver reliable solutionsDriving engineering best practices across CI/CD, observability, testing, and automationTech stack includes:Python | AWS | Kubernetes | Docker | Terraform | Airflow | Spark | MLflow | Databricks | Kafka | CI/CDWe're interested in people from backgrounds such as:✔ Machine Learning Engineering✔ MLOps Engineering✔ Platform Engineering✔ Software Engineering (with ML/Data exposure)✔ Quant Development✔ Infrastructure EngineeringIdeal candidates will have strong Python skills, cloud and DevOps experience, and a track record of building production systems. Experience within energy, trading, forecasting, or quantitative environments is beneficial but not essential.If you'd like to learn more, please send me a message or apply directly.They prefer the role to be worked on a hybrid model of 1-2 days a week. Salary offered is $140,000-$180,000.","datePosted":"2026-06-25T03:44:09.870Z","dateModified":"2026-06-25T03:44:09.870Z","hiringOrganization":{"@type":"Organization","name":"X4 Engineering","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6a744d513da9e62d4d1c6233"},"url":"https://jobsearcher.com/jobs/6a744d513da9e62d4d1c6233"}}