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 ...
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
This position will report to the Director of Business Intelligence and is structured within IT ... Integrate machine learning models into production environments, ensuring reliability and ...
Engineer, Machine Learning
Arlington, VA · On-site
$157K - $185K/yr
This position will report to the Director of Business Intelligence and is structured within IT ... Integrate machine learning models into production environments, ensuring reliability and ...
Engineer, Machine Learning
$157K - $185K/yr
This position will report to the Director of Business Intelligence and is structured within IT ... Integrate machine learning models into production environments, ensuring reliability and ...
Engineer, Machine Learning
$157K - $185K/yr
This position will report to the Director of Business Intelligence and is structured within IT ... Integrate machine learning models into production environments, ensuring reliability and ...
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
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 ...
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 ...
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 ...
Multiyear Contract We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps ...
Quick apply
Multiyear Contract We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps ...
Multiyear Contract We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps ...
Quick apply
Multiyear Contract We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps ...
Multiyear Contract We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps ...
Quick apply
Multiyear Contract We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps ...
Machine Learning Engineer
Chantilly, VA · On-site
Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...
Machine Learning Engineer
Chantilly, VA · On-site
Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...
Director Of Machine Learning information
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Director of Machine Learning (Washington)
Washington, DC • On-site
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
Virtualitics 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