Top 14 Machine learning engineer Jobs in Glens Falls, Ny

Member of Technical Staff, Forward Deployed (US Gov) - AI trainer
micro1 —United States
- $350,000 - $500,000 a year
- Contract
- Hybrid work
- Analysis skills
- Continuous improvement
- Organizational skills
- Paid time off
- 401(k) matching
11d
AI/ML Engineer
CGI Group, Inc. —United States
- $102,000 - $251,100 a year
- Azure
- Computer Science
- Office
- Paid parental leave
- Paid holidays
Principal Technical Lead
Knipper HEALTH —United States
- $130,000 - $160,000 a year
- Full-time
- Computer science
- Computer Science
- HIPAA
- Paid parental leave
- Health insurance

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Member of Technical Staff, Forward Deployed (US Gov) - AI trainer

micro1 -
United States

Apply Now

Job Details

Contract
$350,000 - $500,000 a year
11 days ago

Benefits

Paid time off
401(k) matching
Flexible schedule

Qualifications

AI models
Software engineering
Teamwork
Data transformation pipeline development
Software implementation
Generative models
Application deployment
AI platforms (beyond public GPTs)
Live event audio projects
Infrastructure architecture design
Maintaining data pipelines
Production systems
Machine intelligence
Model deployment
Attention to detail
Implementation (software development lifecycle)
Systems engineering
System deployment
Python
MLOps
Generative AI
Time management

Full Job Description

Job Title

Forward Deployed Engineer, U.S. Government

Job Type

Full-Time

Compensation Structure

Base Salary: $350,000–$500,000 USD annually
Equity compensation eligibility
Performance-based bonus opportunities
Comprehensive benefits package, including:
Up to 100% reimbursement for health insurance premiums
Paid Time Off (PTO)
401(k) plan with company match
Additional company-sponsored benefits designed to support a high-performing workforce

Location

Hybrid – Washington, D.C.

Job Summary

We are seeking a Forward Deployed Engineer to join a high-impact AI team building and deploying next-generation AI systems for U.S. Government missions. This role sits at the intersection of applied AI research, machine learning infrastructure, software engineering, and deployment, requiring both technical depth and customer-facing execution.

You will work across the full lifecycle of AI systems, from experimentation and prototyping to production deployment in mission-critical environments. The role involves partnering directly with government stakeholders to translate operational needs into AI-powered solutions while ensuring reliability, security, and mission success.

Key Responsibilities

Build and deploy agentic AI systems supporting high-impact U.S. Government missions.
Design and integrate advanced LLM applications, including multi-agent systems, tool-using agents, retrieval-augmented generation (RAG) workflows, and human-in-the-loop autonomy.
Work directly with government partners in forward-deployed environments to translate mission requirements into technical solutions.
Build and maintain large-scale data curation, training, and evaluation pipelines.
Develop infrastructure supporting model inference, experimentation, evaluation, and deployment across frontier AI platforms.
Create AI systems that transform mission data, models, and operational tools into real-world autonomous capabilities.
Own systems across the entire lifecycle, including architecture, implementation, deployment, reliability, security, monitoring, and continuous improvement.
Collaborate closely with research, product, and infrastructure teams to improve AI capabilities and mission outcomes.

Required Skills and Qualifications

Strong software engineering experience with advanced proficiency in Python.
Demonstrated end-to-end ownership of technical systems from design through deployment.
Hands-on experience building applications using Large Language Models (LLMs) and agentic AI systems.
Experience developing or maintaining machine learning infrastructure and large-scale data pipelines.
Familiarity with reinforcement learning workflows or simulation environments.
Ability to operate independently in ambiguous, customer-facing, and mission-driven settings.
Strong analytical, problem-solving, and technical communication skills.
Comfortable working in high-security, high-reliability operational environments.

Preferred Qualifications

Active U.S. Security Clearance or eligibility and willingness to obtain one.
Experience supporting U.S. Government, Defense, Intelligence Community, or National Security organizations.
Prior experience at a startup, defense contractor, government-focused technology company, or related organization.
Experience operating in mission-critical government environments or fast-moving startup settings.
Background in AI infrastructure, machine learning systems, distributed systems, or production-scale software platforms.

Benefits

Competitive base salary ($350,000–$500,000 USD)
Equity compensation opportunities
Performance-based bonus eligibility
Up to 100% reimbursement for health insurance premiums
Paid Time Off (PTO)
401(k) plan with company match
Additional company-sponsored benefits

Additional Information

This opportunity is ideal for engineers who want to work at the forefront of AI deployment in high-stakes operational environments. You will help design, build, and deploy AI systems that directly support critical government missions while collaborating with end users and stakeholders to ensure mission success. Your work will influence how next-generation AI systems are deployed, evaluated, and trusted in real-world national security and government applications.

Job Type: Contract

Pay: $350,000.00 - $500,000.00 per year

Benefits:

Flexible schedule

Work Location: Remote

Apply Now

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machine learning engineer jobs in glens falls, ny

Member of Technical Staff, Forward Deployed (US Gov) - AI trainer

AI/ML Engineer

Principal Technical Lead

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