Jobs in the United States

25+ jobs

Save this search

Added 45 mins ago
ML Innovation for Products, PhD Research Intern
Meta
Menlo Park, CA · Sunnyvale, CA
The ML Innovation for Products (MLIP) team is an applied machine learning and research team within Meta's Ranking & Foundational AI org, focused on the state-of-the-art (SOTA) 0-to-1 ML…
Added 2 hours ago
AI Platform & Application Engineer - Vice President
BlackRock
New York, NY
Deep technical fluency in Java and Python with hands-on experience building scalable, production-grade AI and platform services
Added 2 hours ago
AI Engineer 4 (MLX)
Capital One
New York, NY
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
Added 13 hours ago
Principal Engineer
ServiceTitan, Inc.
Remote, United States
15+ years of industry experience in large-scale enterprise web or SaaS applications, with 7+ years in senior IC roles designing and building systems used by other engineers at scale
Added 14 hours ago
Principal Software Automation/Test Engineer
Palo Alto Networks, Inc.
CA
…digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and…
Added 15 hours ago
2026-11 Senior/Staff Software Engineer
Vectara
Remote, United States
Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with Accuracy, Security, and Explainability like no other solution. Our enterprise RAG Platform…
Added 15 hours ago
Sr. AI Agentic Engineer (Software Engineer)
INSPYR Solutions
Fort Worth, TX
As a Software Engineer on the Agentic System Layer (ASL) team, you will build and maintain the core platform components that power agentic AI systems. Day-to-day responsibilities include:…
Added 15 hours ago
Sr Security Operations (SecOps) Engineer
Apple
Austin, TX
Help assess AI/LLM application and agent risks, including prompt injection, untrusted tool outputs, sensitive-data exposure, and excessive permissions, in collaboration with Information…
Added 16 hours ago
Staff Software Development Engineer
Zscaler
Santa Clara, CA
…our team. This is a Santa Clara, CA role, reporting to the Senior Director, Software Development Engineering in the Zero Trust Exchange department. In this role, you will lead the design…
Added 17 hours ago
Associate AI Engineer (Remote Opportunity)
Mind Computing
Remote, United States
Evaluate AI-generated code and solutions for accuracy, quality, security, performance, and maintainability in collaboration with senior developers.
Added 18 hours ago
Senior Technical Coach
Kelly Services
Fort Worth, TX
Familiarity with RAG, embeddings, vector databases, grounding, LLM APIs, model evaluation, and AI governance.
Added 18 hours ago
AP
Application Architect - Enterprise & AI
Accommodations Plus International
Melville, NY
- $130,000 to $140,000 USD / year
Accommodations Plus International (API) is a technology and services company focused on driving innovation across the travel and transportation industry. We partner with organizations in…
Added 18 hours ago
Senior Platform Architect
Citibank, N.A.
United States
We are looking for a hands-on Senior Platform Architect to own the end-to-end technical architecture of the platform. You will define how the experience, orchestration, inventory,…
Added 19 hours ago
Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX)
Capital One
McLean, VA · Richmond, VA
+2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face).
Added 19 hours ago
A
Lead Software Engineer
ADP
Roseland, NJ
- $93,400 to $230,000 USD / year
Influence and inspire confidence. You are comfortable presenting to senior leaders, product owners, and peers with a compelling voice that you demonstrate through executive presence,…
Added 20 hours ago
Senior Manager, CRM Engineering & Administration
Bristol Myers Squibb
Princeton, NJ
This position is a Senior Manager role leading the Administration & Development stream within BMS's CRM Engineering – Field Enablement organization. Primary Technical Lead driving…
Added 20 hours ago
Software Engineer (Java / AWS GovCloud / DevSecOps)
System One
Ashburn, VA
We are seeking experienced Software Engineers at multiple levels to support the development, deployment, and maintenance of mission-critical cloud-based applications. Candidates will work…
Added 20 hours ago
Sr. Principal Engineer
Grubhub Holdings Inc.
DC
We’re looking for someone who brings proven AI-tooling developer patterns and practices from outside Wonder that we haven't yet discovered internally. You'll partner closely with the team's…
Added 20 hours ago
RR
Senior Software Engineer - R37
R1 RCM
Jenkintown, PA
- $101,100 to $206,802.61 USD / year
Lead integrations with third-party AI platforms, LLM APIs, and AI-powered IVR or conversational voice solutions while partnering with Product Management, architects, and engineers to…
Added 20 hours ago
M
Technical Architect
Microsoft
United States
- $165,600 to $331,200 USD / year
Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 21 hours ago
Principal Software Engineer, ML & Media Infra
Pinterest
Palo Alto, CA · San Francisco, CA
The ML & Media Infrastructure team also owns the critical platforms for content acquisition, media ingestion and media signal processing. The team closely collaborates with multiple partner…
Added 21 hours ago
M
Software Engineers II / Senior Software Engineers (Commerce Platforms)
Microsoft
United States
- $102,100 to $202,200 USD / year
Microsoft's Commerce Platforms organization builds and operates scalable, resilient, and AI-powered commerce and financial platforms that support customers, partners, suppliers, and…
Added 21 hours ago
M
Principal Software Engineers (Commerce Platforms)
Microsoft
United States
- $142,800 to $304,200 USD / year
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to Scala, Python, C#, Java…
Added 21 hours ago
M
Senior Software Engineer, EngThrive Insights - CoreAI
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
Bachelor's Degree in Computer Science or related technical field AND 86+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 21 hours ago
Senior Full Stack Java Developer
Fannie Mae
Reston, VA
The Senior Full Stack Java Developer role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following…

HEB

Data Scientist II - ML Engineering

San Antonio, TX, United States

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Sep 17, 2026

Original job description

Responsibilities H-E-B's Corporate Planning and Analysis Team develops and maintains budgets and financial systems while providing current, reliable financial data, analysis, and technical information. As a Data Scientist II, your archetype is a Business Decision Scientist. Your passions include building a framework to stitch cross domains learning and optimizing them toward mission-specific and multi-mission tasks, uncovering ML models causality relationships, creating an enterprise domain-specific reasoning system to boost actionable insights and optimize resources of machine learning process, and orchestrating reusable storytelling methodology to apply toward AI translation. Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most important resources--People--drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company. Do you have a: HEART FOR PEOPLE… willingness to take a break from algorithmic thinking / detecting to translate and share your findings with a variety of business customers? HEAD FOR BUSINESS... skills to blend mass data-wrangling with business acumen? PASSION FOR RESULTS... drive to generate business-valued questions and data-based solutions? We are looking for: - a thought leader of ML innovation who orchestrates business solutions across ML pipelines What is the work? - Handles the design, creation, and maintenance of an ML platform and related environments. - Manages Docker containers and Kubernetes clusters, oversees dependencies and configurations, and implements CI/CD pipelines for automated building, testing, and deployment of machine learning models. - Monitors and optimizes model training performance and resource usage. - Deploys ML models to production environments and manages model versioning and rollback mechanisms. - Ensures scalable and reliable model serving using tools like Vertex, Databricks, TensorFlow Serving, Flask, or FastAPI, ensuring the infrastructure can scale to meet the growing demands as the complexity and number of ML models increase. - Works closely with data scientists, data engineers, and stakeholders to understand and fulfill their infrastructure needs. Stays updated with the latest technologies and best practices in ML infrastructure. - Architects and develops Generative AI solutions utilizing Machine Learning and GenAI techniques. Collaborates with leadership to identify AI opportunities and promote AI strategy. Specializes in engineering and deploying Generative AI models, with a specific focus on Retrieval-Augmented Generation (RAG) systems, search, knowledge graphs, and multi-agent workflows. - Handles both unstructured and structured data, preparing it to be used as context for Language Model Learning (LLM). This involves tasks ranging from embedding large text corpora and developing generative SQL queries, to building connectors to structured databases. - Trains models on prepared data and fine-tuning hyperparameters to achieve optimal performance. Analytics / Design & Development: - Builds a framework to stitch cross domains learning; optimizes them toward mission-specific and multi-mission tasks - Serves as expert specializing in AI interpretation and causality; uncovers ML model's causality relationships; builds framework to measure each model's bias, underspecification, and latent drivers with their connections - Creates an enterprise domain-specific reasoning system to boost actionable insights and optimize the resources of machine learning process - Orchestrates reusable storytelling methodology to apply toward AI translation - Applies an inquisitive nature to creating ML / AI transparency to the business - Applies AI reasoning into business action recommendations - Applies AI research to accelerate business innovation What is your background? - A related degree or comparable formal training, certification, or work experience - 5+ years of experience in a retail or retail-related decision science role - Expertise in ML visualization flow - Expertise in optimizing distributed machine learning in a heterogeneous domain environment Do you have what it takes to be a Senior Data Scientist at H-E-B? - Technical knowledge in programming languages: SQL, R, Python, Scala, Java, C/C++ - Technical knowledge in big data / ML optimization: GPU code optimization, Horovod, Spark MLlib optimization, Cython, JNI, Numba - Technical knowledge in mainstream ML / AI: manifold learning, distributed clustering, graph network, hierarchical model, Bayesian network, deep learning, computer vision, NLP/NLU, reinforcement learning, meta-Learning, federated learning - Technical skills to consider and apply causal reasoning representation and learning, and human-centric, explainable, responsible AI - Ability as a creative storyteller and translator between business questions and ML solutions - Ability to work comfortably with imperfect or incomplete data - Ability to apply AI reasoning into business action recommendation Can you... - Work in a fast-paced retail environment with frequently shifting priorities - Work extended hours; sit for long periods 08-2021 H-E-B's Corporate Planning and Analysis Team develops and maintains budgets and financial systems while providing current, reliable financial data, analysis, and technical information. As a Data Scientist II, your archetype is a Business Decision Scientist. Your passions include building a framework to stitch cross domains learning and optimizing them toward mission-specific and multi-mission tasks, uncovering ML models causality relationships, creating an enterprise domain-specific reasoning system to boost actionable insights and optimize resources of machine learning process, and orchestrating reusable storytelling methodology to apply toward AI translation. Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most important resources--People--drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company. Do you have a: HEART FOR PEOPLE… willingness to take a break from algorithmic thinking / detecting to translate and share your findings with a variety of business customers? HEAD FOR BUSINESS... skills to blend mass data-wrangling with business acumen? PASSION FOR RESULTS... drive to generate business-valued questions and data-based solutions? We are looking for: - a thought leader of ML innovation who orchestrates business solutions across ML pipelines What is the work? - Handles the design, creation, and maintenance of an ML platform and related environments. - Manages Docker containers and Kubernetes clusters, oversees dependencies and configurations, and implements CI/CD pipelines for automated building, testing, and deployment of machine learning models. - Monitors and optimizes model training performance and resource usage. - Deploys ML models to production environments and manages model versioning and rollback mechanisms. - Ensures scalable and reliable model serving using tools like Vertex, Databricks, TensorFlow Serving, Flask, or FastAPI, ensuring the infrastructure can scale to meet the growing demands as the complexity and number of ML models increase. - Works closely with data scientists, data engineers, and stakeholders to understand and fulfill their infrastructure needs. Stays updated with the latest technologies and best practices in ML infrastructure. - Architects and develops Generative AI solutions utilizing Machine Learning and GenAI techniques. Collaborates with leadership to identify AI opportunities and promote AI strategy. Specializes in engineering and deploying Generative AI models, with a specific focus on Retrieval-Augmented Generation (RAG) systems, search, knowledge graphs, and multi-agent workflows. - Handles both unstructured and structured data, preparing it to be used as context for Language Model Learning (LLM). This involves tasks ranging from embedding large text corpora and developing generative SQL queries, to building connectors to structured databases. - Trains models on prepared data and fine-tuning hyperparameters to achieve optimal performance. Analytics / Design & Development: - Builds a framework to stitch cross domains learning; optimizes them toward mission-specific and multi-mission tasks - Serves as expert specializing in AI interpretation and causality; uncovers ML model's causality relationships; builds framework to measure each model's bias, underspecification, and latent drivers with their connections - Creates an enterprise domain-specific reasoning system to boost actionable insights and optimize the resources of machine learning process - Orchestrates reusable storytelling methodology to apply toward AI translation - Applies an inquisitive nature to creating ML / AI transparency to the business - Applies AI reasoning into business action recommendations - Applies AI research to accelerate business innovation What is your background? - A related degree or comparable formal training, certification, or work experience - 5+ years of experience in a retail or retail-related decision science role - Expertise in ML visualization flow - Expertise in optimizing distributed machine learning in a heterogeneous domain environment Do you have what it takes to be a Senior Data Scientist at H-E-B? - Technical knowledge in programming languages: SQL, R, Python, Scala, Java, C/C++ - Technical knowledge in big data / ML optimization: GPU code optimization, Horovod, Spark MLlib optimization, Cython, JNI, Numba - Technical knowledge in mainstream ML / AI: manifold learning, distributed clustering, graph network, hierarchical model, Bayesian network, deep learning, computer vision, NLP/NLU, reinforcement learning, meta-Learning, federated learning - Technical skills to consider and apply causal reasoning representation and learning, and human-centric, explainable, responsible AI - Ability as a creative storyteller and translator between business questions and ML solutions - Ability to work comfortably with imperfect or incomplete data - Ability to apply AI reasoning into business action recommendation Can you... - Work in a fast-paced retail environment with frequently shifting priorities - Work extended hours; sit for long periods 08-2021

Apply About employer

More about this job

Skills

ML
Docker
Kubernetes
CI/CD
Databricks
TensorFlow
Flask
SQL
Machine learning

Report this job