> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Machine Learning Engineer

Canonical URL: https://nextmove.md/fde/jobs/97fb651671bae68c

CoVar posts a senior FDE role to build what the customer runs in Mclean, VA with no pay posted. Senior Machine Learning Engineer and Technical Lead responsible for end-to-end delivery of DoD-focused computer-vision programs, from data pipelines and model development through edge deployment. Read from the employer’s posting on November 8, 2026.

- [CoVar](https://nextmove.md/fde/companies/covar)

Posted Mar 5, 2026 by CoVar · open on Greenhouse as of Nov 8, 2026

Pay not posted Mclean, VA Hybrid

Senior Machine Learning Engineer and Technical Lead responsible for end-to-end delivery of DoD-focused computer-vision programs, from data pipelines and model development through edge deployment.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F97fb651671bae68c&placement=top)
- [View posting at CoVar](https://job-boards.greenhouse.io/covar/jobs/5070401007)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

Not posted

Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales
2. Proof of concept (not covered)
3. Implementation
4. Operations

Travel **Required, amount not stated**

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: People manager

### What they ask for

Experience

- **5+ years** designing, building, and deploying machine learning systems in production
- **8+ years** designing, building, and deploying machine learning systems in production *Preferred*

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Mclean, VA. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Mclean, VA

- **Work arrangement**: Hybrid

- **Remote work restrictions**: Hybrid in McLean, VA; occasional travel to Durham, NC and customer sites

- **Travel**: Travel required, amount not stated

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## The job description from CoVar

Posted by CoVar on Mar 5, 2026

### Machine Learning Engineer

Location: McLean, VA (hybrid); occasional travel to Durham, NC and customer sites

### About CoVar

CoVar is a small AI/ML R&D software company with offices in Durham, NC and McLean, VA, that uses artificial intelligence to solve problems that matter. Our teams build AI/ML solutions that help the DoD detect enemies and threats, help biomedical researchers find new cures, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers dedicated to pushing the bounds of what AI/ML can do in the real world.

### About the Role

We’re seeking a Senior ML Engineer (Technical Lead) with deep hands-on expertise in machine learning and computer vision, who can also lead DoD-focused programs, own customer engagement, contribute to business development, and help grow and manage a local engineering team in McLean over time. You’ll lead end-to-end technical delivery – from data to deployment – while serving as the primary technical point of contact for our customers.

This role is ideal for someone who enjoys building production-grade ML systems, mentoring engineers, and translating complex technical work into compelling customer outcomes.

### What You’ll Do

- **Lead programs end-to-end:** Scope requirements, set technical strategy and milestones, plan resourcing, manage risks, and deliver results for DoD-focused ML/CV projects.
- **Own customer relationships:** Run technical discussions, requirement discovery, demos, standing meetings, and briefings with senior stakeholders; turn feedback into clear roadmaps.
- **Stay deeply hands-on (50**–**70%):**
- Build data pipelines, train/evaluate CV models, and write production code.
- Design, train, and optimize detection/segmentation/tracking models and custom computer-vision pipelines; handle imbalanced data, domain shift, and real-world constraints.
- Deploy models to production (typically on the edge), instrument for monitoring, and iterate with CI/CD.
- **Contribute to business development:** Write technical sections of proposals/white papers, help shape capture strategy, provide level-of-effort estimates, and present prototypes.
- **Communicate and publish:** Present results to high-level DoD and industry customers; author technical reports; publish novel work in classified/unclassified settings when applicable.

### Minimum Qualifications

- **Experience:** 5+ years designing, building, and deploying machine learning systems in production (8+ preferred). Strong track record leading technical delivery for complex projects.

### ML/CV expertise:

- Deep understanding of ML fundamentals (e.g., gradient descent, cross-validation, ROC/PR curves, confusion matrices, mAP).
- Computer vision experience with modern architectures (e.g., YOLO family, CenterNet, RetinaNet, Detectron2, ViTs, segmentation networks), augmentation strategies, and evaluation.
- Experience with data curation/annotation workflows and dataset quality control.
- **Software engineering:** Python (NumPy, scipy, pandas/polars), PyTorch (preferred) or TensorFlow, git, CI/CD pipelines, automated testing, and code quality practices.
- **MLOps & deployment:** Experiment tracking, Docker, ONNX/TensorRT, deploying inference services to the edge (e.g., NVIDIA Jetson).
- **Communication & leadership:** Excellent technical communication, customer-facing experience, and proven ability to lead cross-functional efforts.
- **Education:** B.S. in engineering, math, computer science, or related field; M.S./Ph.D. preferred.
- **Clearance:** Eligibility for U.S. security clearance. This requires U.S. citizenship.

### Preferred Qualifications (Bonus)

- Prior **Department of Defense** project experience, including briefing senior stakeholders and navigating DoD acquisition processes.
- Active **Secret** or **TS/SCI** clearance; experience working in classified environments.
- Experience managing or mentoring engineers; contributing to hiring and performance development.
- Experience with proposal writing (SBIR/STTR, RFPs), technical volume authorship, and live demos.
- Experience with multi-sensor fusion, signal-processing, tracking, synthetic data generation, domain adaptation, or semi/active learning for data-limited environments.
- Familiarity with edge hardware optimization, and performance profiling.
- Open-source contributions, publications, or patents in ML/CV.

### Why This Role Matters

You’ll be a key technical leader in our McLean office – setting technical direction, building a local team, and ensuring our DoD partners see tangible mission impact from AI/ML solutions. If you thrive in high-impact environments where you can both build and lead, we’d love to talk.

### Benefits

- Competitive salary, cash bonus, equity structure, and 401k with employer contributions
- Excellent health care coverage, including dental and vision plans
- Parental leave
- Short-term and long-term disability insurance
- Life insurance
- Flexible work schedule
- Tuition support
- PTO and paid holidays

Visit us: www.covar.com

[View posting at CoVar](https://job-boards.greenhouse.io/covar/jobs/5070401007)

## About CoVar

Custom AI/ML R&D shop building mission-grade sensor, autonomy, vision, and knowledge-graph software for DoD, biomedical, and industrial customers.

Bootstrapped · 10–50 people

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