Director of Machine Learning Engineering (Secret Cleared, DMV)About Virtualitics: Virtualitics is a fast-growing, Caltech-born defense tech company (:120 people) dedicated to reversing the decline in ...
Director of Machine Learning Engineering (Secret Cleared, DMV)About Virtualitics: Virtualitics is a fast-growing, Caltech-born defense tech company (:120 people) dedicated to reversing the decline in ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Chantilly, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Chantilly, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Chantilly, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Chantilly, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Columbia, MD · On-site
Become part of a team solving the most significant Cybersecurity & IT Challenges and helping keep ... Maverc Technologies is seeking an Machine Learning Engineer to support one of our corporate ...
Machine Learning Engineer
Columbia, MD · On-site
Become part of a team solving the most significant Cybersecurity & IT Challenges and helping keep ... Maverc Technologies is seeking an Machine Learning Engineer to support one of our corporate ...
Director of Machine Learning & 3D Reconstruction
Columbia, MD · Hybrid
$200K - $270K/yr
Overview Quidient is seeking a Director of ML & Reconstruction to lead applied machine learning improvements across our Generalized Scene Reconstruction Platform. You will own the ML engineering ...
Director of Machine Learning & 3D Reconstruction
Columbia, MD · Hybrid
$200K - $270K/yr
Overview Quidient is seeking a Director of ML & Reconstruction to lead applied machine learning improvements across our Generalized Scene Reconstruction Platform. You will own the ML engineering ...
Director of Machine Learning & 3D Reconstruction
Columbia, MD · On-site
$200K - $270K/yr
Overview Quidient is seeking a Director of ML & Reconstruction to lead applied machine learning improvements across our Generalized Scene Reconstruction Platform. You will own the ML engineering ...
Director of Machine Learning & 3D Reconstruction
Columbia, MD · On-site
$200K - $270K/yr
Overview Quidient is seeking a Director of ML & Reconstruction to lead applied machine learning improvements across our Generalized Scene Reconstruction Platform. You will own the ML engineering ...
Engineer, Machine Learning
Arlington, VA · On-site
$157K - $185K/yr
Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced ... Arlington Summary The Machine Learning Engineer will design, develop, and maintain the ...
Engineer, Machine Learning
Arlington, VA · On-site
$157K - $185K/yr
Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced ... Arlington Summary The Machine Learning Engineer will design, develop, and maintain the ...
Engineer, Machine Learning
$157K - $185K/yr
Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced ... Arlington Summary The Machine Learning Engineer will design, develop, and maintain the ...
Engineer, Machine Learning
$157K - $185K/yr
Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced ... Arlington Summary The Machine Learning Engineer will design, develop, and maintain the ...
Reporting to the Head of Mission Systems and Software, the Machine Learning Engineer - Autonomy develops and deploys machine learning and autonomy capabilities for Heven AeroTech uncrewed aircraft ...
Reporting to the Head of Mission Systems and Software, the Machine Learning Engineer - Autonomy develops and deploys machine learning and autonomy capabilities for Heven AeroTech uncrewed aircraft ...
Reporting to the Head of Mission Systems and Software, the Machine Learning Engineer - Autonomy develops and deploys machine learning and autonomy capabilities for Heven AeroTech uncrewed aircraft ...
Reporting to the Head of Mission Systems and Software, the Machine Learning Engineer - Autonomy develops and deploys machine learning and autonomy capabilities for Heven AeroTech uncrewed aircraft ...
Reporting to the Head of Mission Systems and Software, the Machine Learning Engineer - Autonomy develops and deploys machine learning and autonomy capabilities for Heven AeroTech uncrewed aircraft ...
Quick apply
Reporting to the Head of Mission Systems and Software, the Machine Learning Engineer - Autonomy develops and deploys machine learning and autonomy capabilities for Heven AeroTech uncrewed aircraft ...
Machine Learning Engineer - Autonomy
Sterling, VA · On-site
$125 - $150/hr
Role Summary Reporting to the Head of Mission Systems and Software, the Machine Learning Engineer - Autonomy develops and deploys machine learning and autonomy capabilities for Heven AeroTech ...
Machine Learning Engineer - Autonomy
Sterling, VA · On-site
$125 - $150/hr
Role Summary Reporting to the Head of Mission Systems and Software, the Machine Learning Engineer - Autonomy develops and deploys machine learning and autonomy capabilities for Heven AeroTech ...
Solid understanding of machine learning fundamentals * Comfort working with data structures and debugging code * Ability to learn quickly in a research-oriented setting What you'll gain: * Hands-on ...
Solid understanding of machine learning fundamentals * Comfort working with data structures and debugging code * Ability to learn quickly in a research-oriented setting What you'll gain: * Hands-on ...
Machine Learning Engineer
Washington, DC · On-site
$125 - $150/hr
You'll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver ...
Machine Learning Engineer
Washington, DC · On-site
$125 - $150/hr
You'll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver ...
Head Of Machine Learning information
See Washington salary details
$27.7K - $36.4K
6% of jobs
$36.4K - $45.1K
8% of jobs
$45.1K - $53.9K
5% of jobs
$55.7K is the 25th percentile. Wages below this are outliers.
$53.9K - $62.6K
24% of jobs
The median wage is $67.3K / yr.
$62.6K - $71.3K
11% of jobs
$71.3K - $80K
17% of jobs
$82.6K is the 75th percentile. Wages above this are outliers.
$80K - $88.7K
10% of jobs
$88.7K - $97.4K
8% of jobs
$97.4K - $106.1K
5% of jobs
$106.1K - $114.8K
3% of jobs
$114.8K - $123.5K
1% of jobs
$27.7K
$72.3K
$123.5K
How much do head of machine learning jobs pay per year?
As of Sep 9, 2026, the average yearly pay for head of machine learning in Washington is $72,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $84,900.00 per year, depending on experience, location, and employer.
What does a head of machine learning do?
A Head of Machine Learning leads the development and implementation of machine learning strategies within an organization. They oversee data science teams, manage AI-driven projects, and ensure models are scalable and aligned with business needs. This role requires expertise in machine learning, software engineering, and leadership to drive innovation and improve decision-making through data.
What are the key skills and qualifications needed to thrive as a head of machine learning?
To thrive as a Head Of Machine Learning, you need deep expertise in machine learning algorithms, statistical modeling, and data analysis, usually supported by an advanced degree in computer science or a related field. Familiarity with Python, TensorFlow, PyTorch, cloud computing platforms, and relevant certifications (like AWS Certified Machine Learning) is highly beneficial. Strong leadership, strategic thinking, and communication skills set exceptional candidates apart by enabling effective team management and cross-departmental collaboration. These skills are crucial to drive innovation, deliver impactful projects, and steer organizational AI strategies successfully.
What are some typical challenges faced by a head of machine learning, and how can I prepare for them?
As a Head Of Machine Learning, you’ll often face challenges such as aligning machine learning initiatives with business objectives, managing a diverse technical team, and ensuring the scalability and reliability of solutions. Preparing for these involves staying updated on the latest AI trends, developing strong project management skills, and fostering a culture of knowledge sharing within your team. Additionally, you may need to bridge communication gaps between technical staff and non-technical stakeholders, so clear communication is vital. By proactively addressing these areas, you’ll be better equipped to lead successful machine learning operations and drive significant business value.
Is a Head of Machine Learning a high paying job?
A Head of Machine Learning is typically a high-paying role due to its seniority and specialized expertise in AI, data science, and leadership. Salaries often reflect experience, industry, and company size, with many earning well above average tech salaries, especially in competitive markets.
What are the most commonly searched types of Of Machine Learning jobs in Washington?
The most popular types of Of Machine Learning jobs in Washington are:
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For Head Of Machine Learning jobs in Washington, the most frequently searched job titles are:
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The top searched job categories for Head Of Machine Learning jobs in Washington are:
What cities in Washington are hiring for Head Of Machine Learning jobs?
Cities in Washington with the most Head Of Machine Learning job openings:
Director of Machine Learning (Washington)
Washington, DC • On-site
Virtualitics •
Software Development • 51 - 200 employees51 - 200 employees
Full-time
This job post has expired today. Applications are no longer accepted.
Key responsibilities
Lead the Machine Learning Engineering team and oversee the development of AI-native readiness intelligence applications.
Provide guidance on architecting robust, scalable applications and managing the complete data lifecycle from acquisition to model inference and postprocessing.
Collaborate with cross-functional teams to align engineering deliverables with strategic customer commitments and communicate technical progress, risks, and ROI.
Job description
Director of Machine Learning Engineering (Secret Cleared, DMV)About Virtualitics:
#J-18808-LjbffrVirtualitics is a fast-growing, Caltech-born defense tech company (:120 people) dedicated to reversing the decline in military readiness. Virtualitics builds AI-native readiness intelligence for the US and allied nations’ defense sector. Virtualitics Iris transforms how defense organizations act on maintenance, logistics, personnel, and global force management data. Our team is actively refining agentic workflows, composable AI agents, and generative interfaces to replace static dashboards with dynamic, conversational intelligence.
What You Will Do:- Lead the Machine Learning Engineering team
- Provide guidance on how to architect robust, scalable applications using sound engineering principles, managing the complete data lifecycle from acquisition to model inference and postprocessing
- Tackle runtime performance and optimize data access patterns for highly responsive applications
- Collaborate across the delivery team (e.g. Product, Customer Success, DevOps, and QA) to align engineering deliverables with strategic customer commitments
- Tackle key issues across Delivery and Platform teams and flag pain points to help influence the roadmap
- Set the technical hiring bar and mentor engineers, ensuring teams are well-staffed and capable
- Clearly communicate technical progress, risks, and ROI, directly linking AI team output to revenue, mission impact both up and down as well as internally and externally
- Clearance & Location: Must hold at least a U.S. Secret security clearance and be willing to upgrade to a TS/SCI if needed. Must be willing to travel to customer locations as needed
- Engineering Fundamentals: A degree in Computer Science or related field and 8+ years of software engineering experience. We target candidates with a strong background in software engineering and production deployment, rather than strictly research-oriented backgrounds
- AI & Systems: A proven track record of deploying software into production environments. Has shipped production-grade AI / agentic systems
- GPU Fluency: Has experience with offloading compute for AI systems to GPUs and is comfortable with designing training and inference pipelines
- Full Stack & DevSecOps: Understands full stack software development, DevSecOps, and AI systems holistically. Familiarity with Docker, Kubernetes, and Git
- Data Ecosystem: Proficiency in Python with a solid understanding of the Python Data Stack (pandas, NumPy, scikit-learn, PyTorch, Matplotlib, etc.). Experience working with a wide variety of data (both structured and unstructured) from different sources
- Culture & Values: Embody Virtualitics core values by bringing a positive attitude, fostering a highly collaborative environment, and always being ready to lean in to tackle complex challenges alongside the team
- Has built and cultivated a high functioning Machine Learning Engineering team before
- Has contributed to building engineering excellence and has top-tier engineering experience
- Experience with big data technologies and frameworks (Spark, Databricks, Snowflake, etc.)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
About Virtualitics
Sourced by ZipRecruiter
Industry
Software development
Company size
51 - 200 Employees
Headquarters location
Pasadena, CA, US
Year founded
2016