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Steadily
Austin, TX, United States
Steadily’s purpose is to help landlords all over the United States purchase insurance through a modern experience and feel confident that they have the coverage they need in case of a rainy day. Because of our cutting edge technology, our clients love being insured by us, even when they have a claim. We're hiring a Staff Software Engineer with expe
Job Source: SteadilyProcore
Austin, TX, United States
Job Description We are looking for a Staff Software Engineer to join Procore's Platform Services Division. In this role, you will build and maintain tools that support the operational excellence of services and the platform. As a Staff Software Engineer on the DevOps Tools Team, you'll be building an operational data platform for Procore; aggre
Job Source: ProcoreGEICO
Austin, TX, United States
At GEICO Technology Solutions, we are on a journey to revolutionize the Insurtech space with our technology offerings in the Insurance market and provide excellent service with better efficiency to our Customers and Associates. To achieve our vision and mission, we are focusing on transforming our existing tech to deliver products and capabilities
Job Source: GEICOSumo Logic
Austin, TX, United States
Staff Software Engineer - Core Platform Location- 100% remote within the United States or Canada As a Staff Software Engineer in the Core Platform team , you will be working on designing, architecting, and implementing highly scalable, distributed, and fault tolerant backend systems that handle user onboarding, content management, Terrafo
Job Source: Sumo LogicARM
Austin, TX, United States
The Role Job Overview: Arm is the industry's leading supplier of microprocessor technology, offering the widest range of microprocessor cores to address the performance, power and cost requirements for almost all application markets. Combining a dynamic ecosystem with over 1,000 partners delivering silicon, development tools and software, and wit
Job Source: ARMRenesas
Austin, TX, United States
Staff Software Engineer Job Description Responsibilities: Develop supporting technical documents and application notes. Create custom solutions, example projects, and proof-of-concept designs to win new business. Prepare and present internal (sales and channel) and external (customer) technical trainings. Provide device support as referenced in
Job Source: RenesasBoundlessfellows
Austin, TX, United States
Honor exists to expand the world’s capacity to care. We’re combining high tech with high-touch to deliver better home care for aging adults, better jobs for Care Professionals, and entirely new offerings to support the aging journey, at scale. Founded in 2014, and now a Series E funded “Unicorn” valued at over $1B, Honor leads the world’s largest
Job Source: BoundlessfellowsUnity
Austin, TX, United States
The opportunity From importing, to building, to loading - the Unity Content Pipeline sits at the very foundation of the Unity Engine and serves as the lifeblood of millions of our creators' projects. As our new Staff Developer within Content Pipeline, youll be at the forefront of our content-transformation challenge as we work to build a highly per
Job Source: UnityAustin, TX, United States
H-E-B Digital is seeking new team members (Partners)! Since our inception, we've been investing heavily in our customers' digital experience, reinventing how they find inspiration from food, how they make food decisions, and how they ultimately get food into their homes. This is an exciting time to join H-E-B Digital, and we're hiring across the stack: front-end web and mobile, full-stack, and backend engineering. We're using the best available technologies to deliver modern, engaging, reliable, and scalable experiences to meet the needs of our growing audience. Our digital solutions are growing in popularity and adoption--like Curbside and Home Delivery--so you'll get the opportunity to define the user experience for millions of customers and hundreds of thousands of Partners. If you're someone who enjoys taking on new challenges, working in a rapidly changing environment, learning new skills, and applying it all to solve large and impactful business problems, we want you as part of our team.
We are seeking an experienced and dynamic Staff Engineer to help foster innovation in Machine Learning and AI at H-E-B. The ideal candidate will have 5-7 years of hands-on experience as an individual contributor, possessing a strong background in Data Science or AI teams with exposure to MLOps practices . This position offers a unique opportunity to contribute to our innovative approach in Site Reliability Engineering for Machine Learning while collaborating closely with Data Scientists on enterprise projects.
Our Partners thrive The H-E-B Way. As a Staff Engineer, of Data Solutions, Machine Learning Operations, you have a...
HEART FOR PEOPLE... you have a passion for mentorship and guidance, and love for the direct person-to-person interactions that create strong bonds between teams
HEAD FOR BUSINESS... you have an ownership mentality and a consistent track record of timely delivery of high-quality software
PASSION FOR RESULTS... the ability to guide the discussion, remove roadblocks, and provide guardrails for your team as they identify challenges and propose solutions
What You'll Do Lead technical innovation for the MLOps team and help progress the Machine Learning practice at H-E-B.
Collaborate with Data Scientists and other teams to provide support for technical initiatives.
Drive the implementation and optimization of MLOps practices to ensure seamless integration of machine learning models into production environments.
Oversee the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, validation, and deployment.
Utilize your expertise in ML concepts (supervised, unsupervised, semi-supervised, and reinforcement learning) to guide the team's technical decisions.
Ensure the team's cloud expertise by leveraging 3-5 years of experience with AWS (preferred), Azure, and/or Google Cloud Platform (GCP).
Collaborate with cross-functional teams to establish best practices, standards, and continuous improvement processes.
Who You Are
Bachelor’s degree in computer science, Data Science, Engineering, or related field (advanced degree preferred).
5-7 years of experience in Machine Learning/AI as an individual contributor.
Strong understanding of Site Reliability Engineering (SRE) principles and their application in machine learning contexts.
Proficiency in cloud platforms, with hands-on experience in AWS, Azure, and/or GCP.
Deep understanding of machine learning concepts including supervised, unsupervised, semi-supervised, and reinforcement learning.
Proven track record of successfully deploying machine learning models into production environments.
Strong grasp of the end-to-end ML process including data preprocessing, feature engineering, model training, validation, and deployment.
Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams.
Experience in mentoring junior engineers to help grow their technical skills.
Strong problem-solving skills and ability to adapt to a fast-paced, evolving environment.
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Staff Software Engineer jobs in Austin, TX, United States
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