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Startup Machine Learning Remote Jobs in Frederick, MD

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$25.4K

$42.3K

$87.5K

How much do startup machine learning remote jobs pay per year?

As of Sep 14, 2026, the average yearly pay for startup machine learning remote in Frederick, MD is $42,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What is a startup machine learning engineer remote?

Remote startup machine learning jobs involve working for early-stage companies or startups to design, develop, and implement machine learning models and solutions, all while working from a remote location. These roles typically require strong programming skills, experience with data analysis, and familiarity with machine learning frameworks. Startups often offer dynamic environments where employees can work on diverse projects and contribute directly to the product's growth. Remote positions provide flexibility in work location and hours, but also require self-motivation and excellent communication skills to collaborate with distributed teams.

What skills and qualifications are needed to thrive as a startup machine learning engineer remote?

To thrive as a Startup Machine Learning Engineer remotely, you need a solid background in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms (AWS, GCP, or Azure), and version control systems like Git is essential. Strong self-motivation, communication skills, and the ability to collaborate effectively across time zones help set outstanding candidates apart. These skills and qualities are crucial for delivering impactful ML solutions independently while contributing to fast-paced, distributed startup teams.

What are some unique challenges faced by startup machine learning engineers working remotely?

Machine learning professionals at startups often encounter fast-paced environments where priorities can shift quickly, and working remotely adds another layer of complexity. Collaboration with cross-functional teams, such as engineers and product managers, may require proactive communication to ensure alignment and clarity on project goals. Additionally, limited resources and data infrastructure at startups may mean you'll need to wear multiple hats and help shape processes from the ground up. However, this environment offers high autonomy, opportunities to have a direct impact, and rapid career growth potential as the startup scales.

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For Startup Machine Learning Remote jobs in Frederick, MD, the most frequently searched job titles are:

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The top searched job categories for Startup Machine Learning Remote jobs in Frederick, MD are:

What cities near Frederick, MD are hiring for Startup Machine Learning Remote jobs?

Cities near Frederick, MD with the most Startup Machine Learning Remote job openings:

Startup Machine Learning Remote jobs near you
Infographic showing various Startup Machine Learning Remote job openings in Frederick, MD as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $42,340 per year, or $20.4 per hour.

Senior AWS Generative AI Solution Engineer

Gaithersburg, MD • Remote

Leidos
IT Services • 10K+ employees
Learn more about Leidosexternal

$107K - $195K/yr

Full-time

Re-posted 9 days ago

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 154 frontline employees who took The Breakroom Quiz

Job description

Leidos is seeking an experienced Senior AWS Generative AI Solution Engineer to design and implement the reasoning layer for a GenAI-enabled HUD FHA Resource Center. The selected candidate will lead development of a multi-agent solution using Amazon Bedrock, AgentCore Runtime, Knowledge Bases, Guardrails, OpenSearch Serverless, AWS Lambda, and Retrieval-Augmented Generation to support grounded voice and chat interactions.

Core Responsibilities:

  • Design and implement Amazon Bedrock Agents, including a Supervisor Agent and domain-specific Sub-Agents.

  • Develop Retrieval-Augmented Generation workflows using Amazon Bedrock Knowledge Bases and OpenSearch Serverless.

  • Implement prompt engineering, agent routing, confidence logic, and low-confidence fallback behavior.

  • Configure Bedrock Guardrails for PII redaction, prompt-injection detection, denied topics, content safety, and grounding evaluation.

  • Build Lambda orchestration to connect Lex V2, Bedrock AgentCore, response generation, and human transfer decisions.

  • Support session management, conversation context persistence, and cross-channel consistency for voice and chat.

  • Integrate the GenAI stack with Amazon Connect, Salesforce, CloudWatch, DynamoDB, S3, SNS, IAM, and KMS.

  • Lead AI testing, response quality tuning, grounding validation, and latency optimization across production-like scenarios.

Please Note: This is 100% telework/remote opportunity. However, candidate must be/reside in the Gaithersburg, MD/Washington, DC metro area.

Required Qualifications:

  • Bachelor's degree and 8+ years of relevant experience OR Masters degree with 6+ years of relevant experience. Additional years of relevant experience may be considered and/or accepted in lieu of degree.

  • 8+ years of software engineering OR cloud development experience.

  • At least 3 years of Generative AI OR LLM application development experience.

  • Strong Python development skills and experience building production AWS solutions.

  • Hands-on experience with Amazon Bedrock, RAG patterns, and vector-based retrieval.

  • Experience with APIs, distributed systems, and secure cloud architecture.

  • Ability to work effectively in a regulated government environment.

  • Ability to obtain and maintain a Public Trust security clearance.

  • US Citizen.

Preferred Qualifications:

  • AWS certifications such as AI Practitioner, Machine Learning Specialty, OR Solutions Architect Professional.

  • Experience with Amazon Bedrock Agents, AgentCore Runtime, Guardrails, and Knowledge Bases.

  • Experience with Claude models, agent frameworks, or multi-agent orchestration patterns.

  • Familiarity with FedRAMP environments and government AI governance requirements.

  • Experience with LangChain, Strands Agents, or other agent development frameworks.

Success Measures:

  • Supervisor Agent and Sub-Agents are implemented and tested across HUD service domains.

  • Responses are grounded, accurate, and safely filtered through Guardrails.

  • Confidence scoring and fallback behavior support reliable human escalation.

  • The GenAI platform is production-ready, maintainable, and compliant with security and privacy requirements.

Target Technical Skills: Highly Desired/Preferred Skills (Nice to Have):

  • Amazon Bedrock, Bedrock Agents, Bedrock Guardrails, Bedrock Knowledge Bases, AgentCore Runtime.

  • Retrieval-Augmented Generation, prompt engineering, multi-agent systems, vector search.

  • AWS Lambda, Amazon Lex V2, Amazon Connect, CloudWatch.

  • Python, REST APIs, JSON, CloudFormation or Terraform, CI/CD.

  • OpenSearch Serverless, DynamoDB, S3, IAM, KMS.

Please Note: The program budget salary for this role could fall anywhere between $130,000 to low/mid $150,000 with a slight wiggle room (no guarantees) based on relevant experience and assessment. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:August 3, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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