Machine Learning Engineer Remote Jobs in Maryland (US)

This page tracks remote machine learning engineer openings that are location-eligible for Maryland.

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$40,000 - $205,000

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2583 Jobs

1399 Companies

AI Engineer

Northramp LLC

AI Engineer4 hours ago

Full Time Remote Mid Level

Role Description We are looking for an Application Architect with strong AI engineering experience to design and build intelligent, agentic applications on Google Cloud Platform. This role sits within an application engineering team and focuses on architecting AI-enabled systems using the Google Agentic Development Kit (ADK), Gemini, and Vertex AI — integrated into enterprise Java/Python backends and cloud-native microservices. You are equally comfortable defining application architecture, designing agentic workflows, writing production-quality code, and translating AI capabilities into practical, mission-aligned solutions for federal stakeholders. This role is remote with a preference for candidates located in Virginia, Maryland, or Washington DC. Key Responsibilities - Architect and implement AI-enabled application systems on GCP, with a focus on agentic workflows using Google ADK and Gemini Pro. - Design human-in-the-loop agentic systems — defining agent roles, tool use, orchestration patterns, and guardrails for responsible, auditable AI behavior. - Integrate AI/ML capabilities (Vertex AI, Gemini APIs, embeddings, RAG) into enterprise Java and Python applications via well-designed APIs and microservices. - Lead application-layer design decisions: data flow, context management, session handling, and state management within agentic architectures. - Collaborate with Data Engineers (BigQuery, Dataform) and Cloud Architects to ensure AI application solutions are grounded in reliable, governed data. - Conduct architectural reviews, define coding standards for AI-integrated applications, and mentor engineers on agentic design patterns. - Evaluate AI use cases for feasibility, risk, and mission fit; prototype and validate approaches before committing to full builds. - Contribute to responsible AI practices: explainability, human oversight, auditability, and alignment with federal AI governance requirements. - Stay current on the Google AI ecosystem (Gemini, ADK, Vertex AI Agent Builder) and inform team and leadership on strategic direction. Qualifications - 5–8 years of software or application engineering experience, with demonstrated focus on AI-integrated or intelligent application design. - Hands-on experience with Google ADK or comparable agentic frameworks (LangGraph, LangChain, AutoGen); Google ADK strongly preferred. - Proficiency in Python for AI/ML integration; Java experience a plus in application team context. - Experience integrating LLM APIs (Gemini, OpenAI, or equivalent) into production application workflows. - Solid understanding of agentic design patterns: tool use, multi-agent orchestration, retrieval-augmented generation (RAG), memory and context management. - Experience with GCP services: Vertex AI, Cloud Run, GKE, BigQuery, Pub/Sub. - Familiarity with REST API design, microservices architecture, and CI/CD pipelines (Harness preferred). - Understanding of responsible AI principles: human-in-the-loop design, auditability, bias awareness, and federal AI governance. Desired Qualifications - Experience with Vertex AI Agent Builder, Gemini Code Assist, or Gemini CLI in a development workflow context. - Familiarity with GCP-native data tooling: BigQuery, Dataform, Looker. - Experience on federal or large-scale enterprise modernization programs. - Exposure to FedRAMP/FISMA requirements and security-compliant AI deployment practices. - Experience with DevSecOps pipelines (Checkmarx, Invicti, or equivalent SAST/DAST tooling). Additional Information - Successful completion of a client-required background investigation and suitability determination will be required. - The ability to obtain and maintain a federal security clearance may be required based on engagement. - Bachelor's degree in Computer Science, Software Engineering, or a related field; advanced degree a plus. - Google Cloud Professional Cloud Architect or Professional Machine Learning Engineer certification preferred. - Security+ desirable. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Family Leave (Maternity, Paternity) - Short Term & Long Term Disability - Training & Development - Work From Home - Wellness Resources - Employee Bonus Programs

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United States

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Machine Learning Engineer Intern

Cohere Health

Cohere Health is a Software-as-a-Service (SaaS) company focused on improving the patient journey by enhancing the quality of care at lower costs, as well as emp

Machine Learning Engineer6 hours ago

Internship Remote Entry LevelTeam 900Since 2019

Company Site

Role Description As an intern you will get a front row seat in a fast growing company which will undoubtedly advance your career and give the right candidate an accelerated career path. In this role, you’ll work with our growing team of world-class engineers, statisticians, and clinical experts to develop and deploy machine learning algorithms that help automate burdensome administrative clinical practices. This is a unique opportunity to join a new engineering team with great ambition and building on modern technology with zero legacy technical debt. Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. What you will do: - Work on reliable and scalable production machine learning systems - Contribute to feature design, development, testing, and delivery of our machine learning models - Work cross-functionally across diverse stakeholders, including product managers, statisticians, EHR data specialists and physicians - Actively participate in development of machine learning models Qualifications - You are passionate about building quality products and have end-to-end machine learning experience, leading with the right design and development principles - Experience developing in Python, required (NLP/PyTorch experience preferred) - You have familiarity with common software development practices such as version control, unit testing, and CI/CD - You are a team player and are interested in working at a fast-paced startup environment - You are enrolled in a Bachelor’s or higher (MS/PhD) degree program in computer science, machine learning, computational linguistics, statistics, mathematics or similar field - Prior experience in healthcare and life sciences is a plus, but is not required Equal Opportunity Statement Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.

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United States

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Principal Machine Learning Engineer

iHerb, LLC

Come join the movement....we are a vehicle to healthy living!

Machine Learning Engineer14 hours ago

Full Time Remote LeadTeam 1,001-5,000Since 1996H1B No Sponsor

Company Site LinkedIn

• Partner with the Data Platform team in a two-way exchange of best practices • Adopt common patterns and build effective abstractions across different machine learning pipelines that simplify existing machine learning processes and accelerate the modelling process from the business problem’s inception to deploying a model solution into production • Develop horizontal solutions to robustly scale the team’s machine learning models and processes • Build software with Object-oriented Design Patterns and Analysis (OOA and OOD) with an eye toward reducing technical debt and maintaining services at high availability • Participate in requirements reviews, design reviews, and code reviews • Research and prototype new technologies to support the rapid growth of the business • Interact cross-functionally with a wide variety of technical teams and work closely with data and applied scientists to identify opportunities to improve on iHerb’s platform

AWS BigQuery Cloud Docker Hadoop Java Kafka Kubernetes Python RabbitMQ Spark

View details: Principal Machine Learning Engineer

United States

$205K - $230K / year

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Forward Deployed AI Architect

Ayrin Digital

AI Engineer19 hours ago

Full Time Remote Mid Level

Role Description This is a remote position. We're Hiring: Forward Deployed AI Architect (Remote | Full-Time) If you can architect enterprise AI systems and win client trust in the same week — we want you. What you'll own: - Multi-agent & RAG pipelines (LangChain, LangGraph, CrewAI, AutoGen) - Full stack delivery: Next.js, Nodejs → FastAPI → Kubernetes → cloud (AWS/GCP/Azure) - Pre-sales: discovery workshops, proposals, POCs, C-level presentations Qualifications - 8-12+ years engineering - 3-4+ years hands-on GenAI/LLM delivery - Full-stack fluency: Python + TypeScript, not just AI components - U.S. enterprise consulting experience Requirements This isn't a research role. You ship production systems and speak business.

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Associate Applied AI Engineer

GuidePoint Security

Founded in 2011 and headquartered in Herndon, Virginia, GuidePoint Security furnishes commercial and federal organizations with customized information security

AI Engineer21 hours ago

Full Time Remote Mid Level

Company Site

• Contribute to the authoring and deployment of agentic harnesses within existing agentic platforms • Assist in prototyping and iterating on agentic harnesses and LLM-integrated workflows • Define and implement benchmarks to evaluate the performance, reliability, and accuracy of agentic pipelines and workflows, supporting continuous improvement and quality assurance • Research and evaluate emerging AI tools, models, and platforms, and surface relevant findings to the team • Support the identification and development of AI-powered automations that improve efficiency across service delivery, operations, and sales functions • Participate in workflow assessments to understand current-state processes and identify opportunities for agentic automation • Contribute to internal tools, integrations, and AI-assisted workflows in active use across the Northeast region • Serve as a hands-on resource for regional teams, building their capability to independently operate and maintain agentic harnesses • Other duties as assigned

Python

View details: Associate Applied AI Engineer

United States

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Senior Applied Machine Learning Scientist

ThoughtExchange

Machine Learning Engineer23 hours ago

Full Time Remote Senior

Role Description We are looking for a Senior Applied Machine Learning Scientist with a mission of building and owning the ML systems that power ThoughtExchange’s AI capabilities. In this role, you’ll take end-to-end ownership of complex machine learning projects from research and experimentation through to production that directly shape how our platform delivers insights to leaders across North America. As the foundational ML scientist on the team, your technical decisions will have an outsized impact on our product and the communities we serve. If you thrive in exploratory problem-solving, care deeply about technical quality, and want to see your work make a real difference, we’d love to hear from you. What You’ll Do - Leads and is accountable for the full machine learning lifecycle from research and experimentation through to production, applying scientific methodology and sound technical trade-offs to deliver robust, scalable solutions. - Build and own the AI quality platform, including evaluation frameworks, monitoring, and guardrails, enabling engineers across the organization to safely iterate on prompts and models. - Research emerging ML technologies and methodologies, and drive adoption decisions for the team’s tools and processes. - Leads open-ended analytical investigations, translating ambiguous business questions into structured approaches and actionable findings. - Leads the design of scalable, maintainable ML solutions, proactively managing technical debt and anticipating future needs. - Write clean, testable, and well-documented code for customer-facing features, data pipelines, and experimentation, and debug complex issues across product areas to resolve root causes. - Collaborate with Engineering, Product, and Design teams to elevate the team’s technical practices and influence priorities. Qualifications - 5+ years of professional experience in machine learning, data science, or software engineering with applied ML responsibility. - Strong programming skills in Python, with experience using common machine learning libraries and frameworks. - Deep understanding of machine learning fundamentals, statistical modeling, evaluation techniques, and system design principles. - Hands-on experience deploying and supporting machine learning models in production environments. - Experience working with relational databases (e.g., PostgreSQL) and large datasets. - Experience building or working with LLM evaluation and observability tooling (e.g., evals frameworks, prompt versioning, model comparison pipelines). - Comfortable operating in both exploratory, ambiguous analytical contexts and structured production delivery. - Strong collaboration skills with the ability to explain complex technical concepts to non-technical colleagues. Nice to Have - Master’s or PhD in Machine Learning, Data Science, or a related field. - Familiarity with cloud-based systems and services, preferably AWS. - Familiarity with software engineering best practices including version control, testing, and CI/CD. Salary Range The hiring range for this role is $141,848–157,609 CAD. Your specific compensation within this range is determined based on your job-related skills, knowledge, experience, and our internal equity assessment. Benefits - From day one, you’ll receive a benefits package focused on health & wellness that includes a generous time off policy, flexible extended benefits plan options, and company-wide wellness days off scheduled throughout the year. - Our benefits package also includes maternity & parental leave top-up programs, as well as access to Maple & Inklbot, which support our employees' primary care, mental health, and wellness needs. - We’ve been remote-first for over ten years. We’re contribution-focused and operate on mutual trust because we need you to feel empowered to be your best self. - We walk the walk when it comes to our product, ensuring that no critical decisions are made without including our employees' perspectives. - We want you to do your best work, and part of that is being happy with your compensation. We pay fairly, considering the complexities of market rates, experience, location, and demand. - In addition to competitive pay and benefits, employees receive share options when joining the company. - We host regular learning sessions. You also have access to an annual Professional Development stipend & Company Coach to ensure you can grow in your role & advance your career.

View details: Senior Applied Machine Learning Scientist

United States + 1 more

C$141.8K - C$157.6K / year

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Lead Evaluator, Early Learning

Cognia, Inc.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy-related conditions), sexual orientation, gender identity, marital status, national origin, age, physical or mental disability, citizenship, protected veteran status, genetic information or any other characteristics protected by local, state, or federal laws, rules, or regulations. Cognia is an Equal Opportunity Employer.

Machine Learning Engineer23 hours ago

Part Time Remote Lead

Role Description The Lead Evaluator, Early Learning will provide high quality personalized and customized service to early learning institutions (birth through kindergarten) in the Cognia network, particularly in relation to accreditation evaluation. Lead Evaluators serve as an extension of the local Cognia office to deliver a variety of services related to accreditation. - Conducts various types of Cognia reviews, including Accreditation Engagement, Monitoring, and Candidacy Reviews, ensuring alignment with Cognia’s standards and expectations. - Successfully completes a comprehensive training program consisting of multiple courses that equip evaluators to conduct all types of Cognia reviews with consistency and quality. - Participates in ongoing professional development and in-service training to continuously enhance evaluation expertise and remain current with Cognia protocols. - Delivers technical assistance and accreditation-related training to institutions, supporting them throughout the accreditation lifecycle. - Supports institutions during their six-year accreditation cycles by offering expert guidance and resources tailored to their specific needs. - Provides technical support for Cognia’s accreditation tools, including both online and offline platforms. - Facilitates high-quality training sessions to prepare institutions for upcoming reviews, ensuring a thorough understanding of accreditation expectations and processes. - Offers post-review support to institutions, including interpretation of findings and strategic guidance for improvement planning to advance institutional goals. - Serves as a representative of Cognia in professional settings, promoting the organization’s mission and services within the broader education community. - Delivers presentations and informational sessions on Cognia accreditation and improvement services at institutional meetings, conferences, and other relevant forums. - Participates in school and system meetings on behalf of Cognia to provide feedback, present recognition, and support institutional engagement. - Collaborates with regional and state offices to execute service plans and initiatives that enhance the accreditation process. - May review reports and/or serve in a mentoring or coaching role for other accreditation team members to support capacity building and quality assurance. - Assists Senior Director(s) with quarterly newsletter to institutions preparing for or going through an Accreditation Engagement Review. - Performs duties and fulfills responsibilities that may, from time to time, include related or unrelated tasks. Qualifications - BS in Early Childhood Education or equivalent required; M.Ed. Ed.D. or Ph.D. in educational leadership area preferred. - A minimum of five (5) years of Birth through Kindergarten teaching experience required. - Three (3) or more years in a leadership capacity in an early learning school district early learning program, early learning system of schools or early childhood education focused not for profit or state agency preferred. - Experience as an educational leader at the building or central office level desired. - Evaluators are expected to complete required initial and ongoing training on reviews and interpretations. - Evaluators are expected to maintain a high level of knowledge about the current operations of Cognia by participating in ongoing professional development related to Cognia’s work. - Certification for eleot™ and/or erel™ required. - Experience with Cognia tools and processes preferred. Requirements - Exceptional oral and written communication skills. - Demonstrated leadership and interpersonal skills. - Substantial experience in the field of education as a school or district leader. - Knowledge of Cognia processes and protocols. - Extensive travel (>40%). - Travel to All Staff Company Meeting required. Benefits - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy-related conditions), sexual orientation, gender identity, marital status, national origin, age, physical or mental disability, citizenship, protected veteran status, genetic information or any other characteristics protected by local, state, or federal laws, rules, or regulations. - Cognia is an Equal Opportunity Employer.

View details: Lead Evaluator, Early Learning

United States

$40K / year

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ML Engineer – Verifications

Kodex

Kodex helps companies manage their obligations to law enforcement to prevent real world harm

Machine Learning Engineer1 day ago

Full Time Remote SeniorTeam 11-50Since 2020H1B No Sponsor

Company Site LinkedIn

• Build and deploy models to detect and flag suspicious behavior (classification, anomaly detection, clustering, ranking, and other approaches as appropriate) • Own ML pipelines end-to-end (feature generation, training, evaluation, batch/streaming inference, backfills, and versioning) • Design evaluation + monitoring: ground truth strategies with Threat Intel, offline metrics, drift monitoring, and alerting • Collaborate with product & engineering to integrate intelligence into user-facing workflows (e.g., review queues, and decision-support tooling) • Improve data quality and accessibility by working with data engineering patterns (schemas, lineage, reproducibility, and access controls) • Contribute to operational rigor: runbooks, incident response, and safe rollout practices for systems that impact customer trust

View details: ML Engineer – Verifications

United States

$150K - $180K / year

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Faculty - Computer Science, Graduate Level

Anderson University SC

Computer Vision Engineer1 day ago

Part Time Remote Senior

Title: Part-Time Faculty - Computer Science (Graduate Level - Online) Location: Remote, USA Job Description: The College of Arts and Science at Anderson University (South Carolina) invites applications for online instructional positions in our Computer Science M.S. degree. Areas of immediate need include online courses at the graduate level in algorithms/data structures, computational theory, hardware/architecture, and networking/OS. Minimum requirements: Master’s degree in Computer Science or Computer Engineering to include 18 graduate hours in the teaching discipline. College-level teaching experience preferred. Classes are fully remote; however opportunity for an in-person/hybrid component to the course is available. Anderson University is a selective, student-centered Christian university providing a challenging education grounded in the liberal arts, enhanced by professional and graduate programs and a co-curricular focus on the development of character, servant leadership, and cultural engagement. Our faculty strive to provide students with the knowledge to discover, build, serve, create, succeed, and innovate. Affiliated with the South Carolina Baptist Convention, we seek to attract culturally and academically diverse faculty of the highest caliber, active in the scholarship of teaching, discovery, application, and integration of faith. About our Commitment to Fairness in Employment Anderson University does not unlawfully discriminate on the basis of race, color, national or ethnic origin, sex, disability, age, religion, genetic information, veteran or military status, or any other basis on which the University is prohibited from discrimination under the local, state, or federal law, in its employment or in the provision of its services, including but not limited to its programs and activities, admissions, educational policies, scholarship and loan programs, and athletic and other University-administered programs. As a Christian institution of higher education, Anderson University is entitled to certain religious accommodations under federal and state law, including Title IX of the Education Amendments Act and Title VII of the Civil Rights Act. For questions or concerns contact the Office of Human Resources.

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AI Engineer

SAIC

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com . For ongoing news, please visit our newsroom .

AI Engineer1 day ago

Full Time Remote Mid Level

Role Description SAIC is seeking an AI Engineer to support the Administrative Office of the U.S. Courts (AOUSC/AO) Cloud Technology Broker Integration Partner (CTBIP) contract. This position will provide services to build cloud foundations for the Judiciary, including cloud advisory/strategy and implementation services. This position is contingent upon contract award anticipated for May/June 2026 with a June/July 2026 start date. This role must be performed in the United States and will be remote. There may be occasional travel to customer site in Washington, DC. - Design and implement AI-driven solutions to optimize AOUSC's multi-cloud operations, focusing on automation and predictive analytics. - Develop and maintain centralized FinOps dashboards for enhanced cost and resource management across multi-cloud environments. - Integrate AI capabilities into monitoring and security tools, ensuring compliance with NIST 800-53 standards and Zero Trust principles. - Enable the development of self-healing systems and automated workflows to improve operational resilience and efficiency. - Conduct knowledge transfer sessions and facilitate training for AOUSC teams to maximize their ability to effectively use AI-based solutions. - Collaborate with stakeholders to align AI initiatives with organizational goals and ensure seamless integration with existing multi-cloud systems. Company Description SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. - We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. - SAIC is an Equal Opportunity Employer. - Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. - For more information, visit saic.com . - For ongoing news, please visit our newsroom .

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United States

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