Machine Learning Engineer Remote Jobs in Alabama (US)
This page tracks remote machine learning engineer openings that are location-eligible for Alabama.
This page tracks remote machine learning engineer openings that are location-eligible for Alabama.
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• Collaborate with cross-functional teams to design scalable AI architectures • Contribute to innovative projects that leverage generative AI and large language models • Develop and deploy cutting-edge AI solutions • Work with advanced machine learning models and frameworks, focusing on cloud technologies and intelligent AI applications
UnitedHealth Group is a healthcare and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of
Role Description Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. - Assist in designing, developing, and supporting GenAI/LLM-enabled features under guidance, from prototype through production. - Implement and iterate on prompt engineering patterns (prompting, prompt chaining, structured outputs) and contribute to basic evaluation approaches (quality, safety, hallucination risk, latency). - Support agent-building efforts (tool use, multi-step workflows, orchestration) and help define goals, constraints, and guardrails for safe behavior. - Build and maintain backend services using Java + Spring Boot and REST APIs to expose AI capabilities to applications; integrate with Database and event streaming via Kafka where needed. - Contribute to UI/API integration work (as needed) using React to deliver end-to-end features. - Write clean, maintainable code in Java and/or Python, applying engineering best practices and participating in code reviews. - Create and maintain automated tests (e.g., JUnit) and contribute to CI quality gates (linting, unit/integration tests). - Package and deploy services using Docker and support runtime deployments on Kubernetes; contribute to CI/CD pipelines. - Monitor and troubleshoot services using logging/observability tools (e.g., Splunk), assist with incident triage, and document fixes/runbooks. - Follow Responsible AI and secure engineering practices, including safe handling of sensitive data and adherence to internal SDLC/AIDLC standards. - Use approved productivity tools such as GitHub Copilot and Gemini to improve development speed and quality while complying with security and data-handling guidelines. - Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI. Qualifications - Bachelor’s degree. - 1+ years of experience in software engineering or ML engineering building software components production. - 1+ years of experience in Java or Python, including ability to write readable, testable, maintainable code. - 1+ years of experience building or integrating REST APIs; familiarity with Spring Boot or similar backend framework. - 1+ years of experience using Git and collaborative development practices (branches, pull requests, code reviews). - 1+ years of experience with Basic test automation experience (e.g., JUnit or Python testing frameworks). - 6+ months of experience of MongoDB (or other NoSQL) and general data modeling/querying concepts. Requirements - Familiarity with event-driven architecture concepts and/or messaging systems such as Kafka (hands-on preferred). - Foundational knowledge of AI/ML concepts, with exposure to NLP and/or LLM-based applications (e.g., summarization, extraction, Q&A). - Exposure to GenAI patterns such as prompt engineering, RAG, and/or agent workflows; ability to evaluate outputs for correctness, safety, and consistency. - Familiarity with containerization (Docker) and basic understanding of deployment environments (cloud and/or Kubernetes), CI/CD fundamentals. - Strong communication, teamwork, and problem-solving skills; comfortable working in an Agile delivery model. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase. - 401k contribution (all benefits are subject to eligibility requirements). Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
We provide the best software engineering solutions by investing in our people first.
Role Description We're looking for a Senior AI/ML Engineer to act as the bridge between data infrastructure and customer-facing AI products. You'll specialize in: - Building low-latency API layers - Production-grade RAG systems - Complex ingestion pipelines - Human-in-the-Loop workflows You'll be working alongside Data Engineers to turn raw data lakes into live AI features. Qualifications - Overall Experience: 7+ years in Backend Software Engineering and AI Application Engineering, including exposure to Distributed Systems - AI & RAG Integration: 2+ years engineering production-grade RAG pipelines, managing vector retrieval context, and implementing secure validation layers for LLMs - Prototyping & Collaboration: Proven track record working synchronously with Data Engineers to rapidly turn raw data lakes and streams into production-ready AI feature prototypes - Proficiency in Advanced API Design & GraphQL Architecture - Proficiency in RAG, Data Flows & Ingestion Pipelines - Proficiency in State Management & Human-in-the-Loop (HITL) Automation - Production fluency in Python - Working knowledge of C# (.NET Core), Java, or Node.js/TypeScript for enterprise ingestion systems Requirements - Token-aware pagination for GraphQL/REST endpoints (LLM context-safe) - Custom Model Context Protocol (MCP) server development - GraphQL schema implementation using Apollo Server or AWS AppSync - Amazon Bedrock APIs (foundational model invocation and chaining) - Knowledge Bases for Amazon Bedrock (chunking, metadata extraction, vector sync from S3) - Hybrid retrieval using OpenSearch/Elasticsearch, pgvector, and MemoryDB / Redis OSS - High-throughput ingestion workers for embedding and vector generation - Ingestion pipelines with Amazon SQS, MSK (Kafka), and log sources - Third-party SaaS analytics API integration (e.g., Pendo, Hotjar, Google Analytics) - Autonomous Bedrock Agents with action groups - Amazon Bedrock Guardrails (prompt injection blocking, PII redaction, safety alignment) - Stateful orchestration with AWS Step Functions or LangGraph - Durable HITL gating workflows (pause, persist state, resume on human approval) - Idempotent processing with automated state rollbacks and dead-letter queues (DLQ) - End-to-end event tracing with OpenTelemetry (oTel) and Datadog Benefits - Remote work - 13 floating holidays - 15 vacation days per year completed - Good working environment Company Description Every qualified candidate who meets the requirements outlined in the job description will be considered in this hiring process without distinction. Furthermore, Jalasoft is an equal opportunity employer. We wholeheartedly embrace our responsibility to make employment decisions without regard to race, age, marital or social status, national origin, disability, sex, gender identity or expression, or any other characteristic or group of candidates or employees unrelated to their qualifications and suitability for the position. Our management is committed to upholding this policy with respect.
We provide the best software engineering solutions by investing in our people first.
Role Description We're looking for a Senior AI/ML Engineer to design and build the foundational AI layers, multi-step agentic workflows, and developer tooling for the broader engineering organization. You'll focus on the internal runtime for AI: - Implementing prompt frameworks - Enforcing deterministic structured outputs - Deploying production-grade Human-in-the-Loop state automations - Turning raw context into reliable, zero-hallucination agent-based actions Qualifications - Overall Experience: 7+ years in Backend Software Engineering and AI/ML Application Engineering - Agentic Architecture: 2+ years engineering multi-step LLM workflows, autonomous agent loops, and multi-agent orchestration frameworks in production - Developer Platform Enablement: experience building internal SDKs, tools, or structured pipeline abstractions used by other product engineering teams to ship AI features rapidly - Proficiency in Multi-Step Agentic Workflows & Tooling - Proficiency in Advanced Amazon Bedrock & Prompt Engineering - Proficiency in Structured Output Pipelines & Performance Ingestion - Proficiency in State Management, Automation Consistency & HITL - Production fluency in Python - Proficiency in TypeScript/Node.js for Vercel AI SDK and AWS edge workers Requirements - Vercel AI SDK, LangGraph, or LlamaIndex for agentic orchestration - Reliable tool-calling (function-calling) interfaces for LLM-driven internal system navigation - Short-term and long-term agent memory architectures with ultra-low-latency in-memory stores (Amazon MemoryDB / Redis OSS / Valkey) - Amazon Bedrock APIs (foundational model invocation and chaining for agent loops) - Programmatic prompt optimization, few-shot prompting, dynamic context injection, and prompt caching - Amazon Bedrock Guardrails (safety gating, prompt injection mitigation, PII redaction) - Type-safe schema enforcement with Pydantic (Python) or Zod (TypeScript) - Ingestion workers consuming Amazon MSK (Kafka), SQS, and log sources - Optimistic Concurrency Control (OCC) and async write-delegation to prevent PostgreSQL deadlocks - Deterministic multi-step pipelines with AWS Step Functions or LangGraph - Durable HITL workflows (pause prior to DB writes or API transactions, persist state, resume on approval) - Idempotent execution layers for safe agent loop retries without record duplication - Working knowledge of C# (.NET Core) or Java for enterprise pipeline integrations Benefits - Remote work - 13 floating holidays - 15 vacation days per year completed - Good working environment Company Description Every qualified candidate who meets the requirements outlined in the job description will be considered in this hiring process without distinction. Furthermore, Jalasoft is an equal opportunity employer. We wholeheartedly embrace our responsibility to make employment decisions without regard to race, age, marital or social status, national origin, disability, sex, gender identity or expression, or any other characteristic or group of candidates or employees unrelated to their qualifications and suitability for the position. Our management is committed to upholding this policy with respect.
We're building an open financial system for the world.
• Build and operate the LLM and agent infrastructure every team at Coinbase builds on. • Ship high impact AI agents on top of the LLM infrastructure. • Serve as the company's single path to LLMs and the substrate for the full agent lifecycle: build, deploy, run, observe, improve.
Leading autonomous vehicle technology since 2007, Torc develops automated Level 4, Class 8 trucks with Daimler.
• Lead highly complex data science and analytics projects in support of process improvement, defect reduction, and predictive analytics for manufacturing and business applications. • Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution. • Independently develop data science models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining documentation of created applications. • Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows. • Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. • Guide and produce information products, supporting visualization and data accessibility in a customer centric manner. • Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety. • Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes. • Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members. • Expected to communicate and collaborate within the team and participate with the team’s interfaces to the rest of the organization. • Interface with other teams and design software units for the team’s products
• Contribute across the full software stack to deliver user journeys to production, owning implementation quality from architecture to release • Design and build agents that apply prompts, context, tools, and model reasoning to fulfill user journeys, generate content, and automate processes • Apply sound software engineering and system design principles to produce solutions that are observable, maintainable, scalable, and production ready • Validate solutions against functional requirements using both traditional QA methods, model-based evals, and agent tracing to ensure quality is measurable and reproducible • Incorporate agentic software engineering techniques into the development workflow across the SDLC, from planning, design, implementation, testing, and maintenance • Drive product definition with designers and PMs: ideate, explore, and prototype with stakeholders, then cut down possible options to arrive at deliverable, but well-rounded solutions • Wholly conceive and ship features & MVP iterations early in the product definition phase that directly advance high-visibility organizational goals • Strike the right balance between investment in UX quality and tending to practical business needs through the product development process. • Partner with other engineering stakeholders to identify what technology makes possible, and what makes implementing a given product or feature hard. Bring that perspective into project scoping and prioritization • Share knowledge, techniques, and agentic software engineering practices in async formats and dedicated venues, like technical discussions and team meetings • Champion the use of AI solutions for engineering and product tasks, accelerate product velocity and team’s execution
We're building an open financial system for the world.
• Own the full IDV ML stack • Build identity-graph systems using GNNs • Develop behavioral and device-intelligence models • Drive vendor ML strategy • Lead and mentor senior and mid-level engineers
Role Description This position is responsible for managing the essential tasks for the Learning & Performance department of MidFirst Bank. The ideal candidate should excel in multi-tasking, possess strong communication skills, prioritize customer service, and demonstrate a commitment to excellence. - Facilitate the enrollment process for new hires, professional development, annual training, and any other required training - Oversee the team mailbox to ensure adherence to SLAs and timely filing of emails - Update shared calendars and learning management system with classroom schedule changes to reflect the new schedule - Arrange hotel accommodations for employees who are travelling to the training center - Communicate reminders for classroom training attendance - Process professional development certification completions for bonus payouts - Curate course content and learning assets Qualifications - High School diploma - Proficiency in Microsoft Office tools - Strong prioritization and task management skills - Cross-functional team collaboration - Experience working in virtual teams and remote environments - Excellent communication skills (both written and verbal) - Previous experience working within a training environment
Save the Children works in countries around the world to create positive, lasting changes in the lives of children. The international nonprofit organization env
Title: Managing Director, Campaign Strategy & Infrastructure (M3) Location: United States remote Job Category: Advocacy Campaigns & Engagement Requisition Number: MANAG008221 Full-Time Job Description: Save the Children Action Network Save the Children Action Network ("SCAN") - a 501(c)(4) organization - is the political advocacy arm of Save the Children. We are building bipartisan support to make sure every child has a strong start in life. We're doing this by advocating statewide and federally for high-quality early learning and ending child hunger in the U.S., the safety of children arriving at the southern U.S. border and educating and protecting kids around the world. The Role As the Managing Director, Campaign Strategy & Infrastructure, you will play a critical role in supporting the Head of SCAN in advancing SCAN's mission and strategic priorities. Working in close partnership with the Head, you will contribute to the development and execution of SCAN's campaign strategy, with a particular focus on building the infrastructure, systems, and tools required to run effective advocacy, electoral, and community-based campaigns in states nationwide. You will lead the design and implementation of scalable campaign frameworks, training programs, and operational systems that enable staff, volunteers, and grassroots advocates to mobilize effectively and work in a coordinated, high-impact way. In collaboration with the Head, Regional Directors and cross-functional partners, you will ensure campaigns are strategically aligned, well-executed, and positioned to drive engagement and influence policy outcomes at both the state and federal levels. Your work will be central to strengthening organizational cohesion, improving campaign effectiveness, and translating strategy into execution across SCAN's advocacy and electoral efforts. Location Hybrid - Washington DC, Fairfield, CT, Lexington, KY office locations Remote - United States What You'll Be Doing (Essential Duties) - not inclusive of all role responsibilities. May be subject to change. Campaign Strategy & Infrastructure Leadership (30%) - Support the development and operationalization of SCAN's campaign strategy by designing and continuously improving systems and ways of working. - Build and manage scalable campaign infrastructure-including planning tools, standards, and operating procedures-to enable consistent, high-quality execution across teams. - Coordinate closely with Campaigns, State, Elections, Constituency Engagement, and Data teams to align priorities, sequencing, and resource allocation in support of strategic objectives - Establish processes to evaluate campaign performance, capture learnings, and strengthen long-term organizing and advocacy effectiveness. - Support campaign readiness and rapid-response capabilities during key advocacy and electoral moments, ensuring teams are equipped to mobilize effectively. Team Leadership & Operational Management (25%) - Lead, develop, and coach a high-performing team - Set clear goals, performance expectations, and accountability frameworks aligned with the Head's strategic priorities and overall organizational outcomes - Foster a collaborative, inclusive, and high-performing team culture that prioritizes integration, innovation, and continuous improvement - Represent SCAN in cross-divisional initiatives and external engagements, reinforcing alignment with strategic objectives and elevating campaign impact - Support fundraising, donor engagement, and strategic communications by clearly articulating SCAN's organizing model, campaign approach, and measurable results Training, Leadership Development & Organizing Capacity Building (25%) - Lead SCAN's approach to building organizing capacity across staff, volunteers, and partners. - Oversee the design and delivery of training programs that strengthen capabilities across advocacy, elections, volunteer engagement, and community organizing. - Ensure training curricula and learning experiences build durable organizing skills and develop a strong pipeline of grassroots and organizational leaders. - Partner with internal teams and external organizations to expand training partnerships, represent SCAN in key forums, and support shared learning initiatives. - Develop systems for knowledge sharing and continuous learning, enabling best practices and consistent approaches across campaign teams. Cross-Functional Integration & Organizational Alignment (20%) - Partner with senior leaders across divisions to ensure campaign infrastructure and engagement strategies are aligned with broader organizational priorities, including policy, programs, and fundraising. - Facilitate cross-functional planning processes that integrate constituency engagement, volunteer mobilization, electoral activity, and advocacy priorities. - Work closely with programmatic teams to align SCAN's campaign presence with programmatic state footprints, ensuring coordinated, mutually reinforcing impact. - Translate campaign insights and operational data into strategic reporting, campaign readiness assessments, and recommendations to inform organizational decision-making. Required qualifications for the role - Minimum of a bachelor's degree or equivalent experience, plus at least 10 years of relevant experience on Capitol Hill, in non-profit advocacy, campaign organizing - Demonstrated experience leading complex, multi-channel advocacy, electoral, grassroots, or organizing initiatives - Proven effective leader and people manager with experience developing and leading high performance cross functional teams - Proven ability to create effective grassroots campaigns - Experience creating or managing training programs, leadership growth, volunteer involvement, or building organizing skills - Strong strategic planning, operational management, and cross-functional collaboration skills - Experience using data, metrics, and reporting to inform strategy and evaluate impact - Willingness and ability to travel up to 15-20% domestically - Professional proficiency in MS Office suite - Professional proficiency in spoken and written English Compensation Save the Children Action Network is offering the following salary ranges for this position, dependent on candidate location: - Geo 1 - NY Metro, DC, and other locations with labor costs significantly above national average: Target Salary for this position is $143,650 - $160,550 base salary - Geo 2 - Locations around the US National Labor Cost Average: Target Salary for this position is $130,900 - $146,300 base salary - Geo 3 - Locations significantly below the US National Labor Cost Average: Target Salary for this position is $116,875 - $130,625 base salary The salary ranges listed above are for US based candidates. For candidates located outside of the US, salary ranges will be based on the salary scales of the local employer of record. Actual base salary may vary based on, but not limited to, relevant experience, base salary of internal peers, business sector, and geographic location (more information on job structure is available here). About Us We are looking to build a diverse, equitable and inclusive team at Save the Children Action Network. We offer a range of outstanding benefits to support this goal: - Flexible schedules and time off: Flexible schedules, generous PTO, 11 paid holidays plus 2 floating holidays and hybrid working opportunities - Health: Competitive health care, dental and vision coverage for you and your family - Family: A variety of paid leaves: caregiver, parental/adoption, critical child illness and fertility benefits - Employee Rewards Program: Annual merit increases and/or additional incentives for eligible employees - /Retirement: A retirement savings plan with employer contributions (after one year) - Wellness: 15 safety and wellness days annually (if hired on or after July 1, safety and wellness days prorated to 8 days), mental health benefits and support through Calm and company-hosted events - Employee Assistance Program: free and confidential assessments, short-term counseling, referrals, and follow-up services - Learning & Growth: Access to internal and external learning & development opportunities and mentorships Click here to learn more about how Save the Children Action Network will invest in you. Save the Children Action Network is committed to conducting its programs and operations in a manner that is safe for the children it serves and helping protect the children with whom we are in contact. All Save the Children Action Network representatives are explicitly prohibited from engaging in any activity that may result in any kind of child abuse. Save the Children Action Network is committed to minimizing safety and security risks for our valued employees, ensuring all are given training, support and information to reduce their risk exposure while maximizing the impact of our programs for children and families. Our shared duty, both agency and individual, is to seek and maintain safe working conditions for all.
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