Mission Optimization AI/ML Engineer Job at Arcfield (Chantilly)

Senior AI/ML Engineer

Barbaricum is seeking a highly experienced Senior AI/ML Engineer to support Soft...

Location

United States , Crane

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Active DoD Secret Clearance (Top Secret preferred)
Bachelor’s degree in Computer Science, Engineering, or related technical discipline (Master’s preferred)
10+ years of progressive experience in AI/ML engineering, software development, or applied data science
Expertise in developing, deploying, and securing AI/ML applications within mission-critical or defense environments
Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow)
Strong background in software and cyber engineering principles, including system hardening, secure coding, and vulnerability mitigation
Proven ability to lead complex technical efforts, mentor junior engineers, and interface with government stakeholders
DoD 8570 Advanced certification (e.g., SecurityX, GCSA, CCSP, or equivalent) must be obtained and maintained

Job Responsibility

Partner with project managers and engineering teams to define objectives for AI/ML systems in support of maneuver, surveillance, and engagement missions
Develop and prototype AI/ML systems to address mission-specific requirements, including computer vision, sensor fusion, and decision-support applications
Conduct rigorous testing and evaluation of AI/ML performance against operational datasets
Analyze test data to identify model strengths, weaknesses, and mission relevance
Refine and optimize systems to ensure robustness, scalability, and cyber resilience
Troubleshoot complex system challenges and provide technical guidance for deployed solutions
Deliver comprehensive documentation and technical reports to stakeholders
Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber defense techniques relevant to mission-critical systems

AI/ML Engineer - Public Sector

Unstructured is seeking an AI/Machine Learning Engineer to join our Public Secto...

Location

United States

Salary:

Not provided

Unstructured

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. Master’s or PhD a plus
4+ years of experience in AI/ML engineering, MLOPS, systems architecture, or similar technical roles
2+ years of experience working with government networks and security requirements
An understanding of government security frameworks (FedRAMP, NIST 800-53, FISMA, DISA SRG) and how they apply to ML workloads
History of leading or delivering high-impact ML initiatives in enterprise or government environments
preference for those with articulable experience assessing performance of alternative models, architectures, and implementation strategies
A commitment to meeting the demanding engineering standards required to support national security and defense clients
A strong interest in being at the forefront of the AI revolution
TS Active Clearance required for the role + ability to travel
Familiar with AWS, Azure, and/or GCP services for ML workloads

Job Responsibility

Develop evaluation and assessment tools and frameworks to measure newly developed models for performance against key metrics across a wide domain of tasks and knowledge sets
Identify, propose, and implement modifications of existing models and model implementation frameworks to optimize for new tasks
Lead conceptualization of both traditional and agentic implementation strategies for cloud and on-premises model deployments within broader system architectures
Lead and optimize distributed ML workloads on multiple government cloud and non-cloud infrastructures
Align AI/ML deployments with FedRAMP, NIST 800-53, FISMA, and DISA SRG, maintaining strict security standards
Create reference architectures and deployment patterns to streamline ML adoption across government agencies
Translate mission objectives into ML-focused technical specifications and project plans
Apply advanced security controls and zero-trust architectures to protect ML pipelines and data
Continuously assess ML workloads for performance, cost, and security improvements, driving ongoing refinement

What we offer

Competitive compensation, equity, and benefits

Fulltime

Distinguished Technologist, Cloud Development (AI/ML)

Joining our HPE Hybrid Cloud team and working as part of our OpsRamp team is a c...

Location

United States , San Jose

Salary:

164500.00 - 398500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

15+ years of relevant experience in the industry delivering technical and business strategy at an advanced/strategist level
Master's, or PhD degree in Computer Science, Information Systems, Engineering, or equivalent
At least 4 years of hands-on expertise in defining, building, training and / or optimizing foundational deep learning models at scale in PyTorch, HF and other ML frameworks and libraries
Experience and/or deep understanding in various deep learning architectures like CNNs, GNNs, Transformers, Reinforcement Learning etc. is a strong advantage
Strong hands-on experience/understanding in pre-training, fine-tuning, distilling, aligning open-source large language models and have them complement the in-house foundational models
Hands-on experience developing multi-agent applications around a mixture of in-house and open-source models while leveraging latest in RAG and Prompt Engineering tooling techniques
Strong customer focus and obsession with improving service availability/performance and user experience/consumption using measurable SRE metrics
Must have a track record of working alongside other engineering teams architecting, building, and deploying mission-critical, highly distributed, large-scale SaaS applications
Must have strong knowledge of application failure modes, resiliency patterns, and techniques to enable robust, self-healing architecture
Effective technical leadership skills to influence diverse groups to move toward common goals/strategies

Job Responsibility

Lead strategy and innovation across OpsRamp’s Intelligent Observability portfolio
Champion HPE OpsRamp’s position with HPE customers and GTM partners externally and HPE internal cross-functional stakeholders
Drive technical strategy for emerging GenAI trends across Hybrid Observability and AIOps for cloud-scale modern applications
Design and introduce new products to the market
Provide consultation, design input, and feedback for product development and design reviews
Transition proof-of-concept implementations into R&D teams to accelerate new product delivery
Guide and mentor less-experienced staff members.

What we offer

Health and wellbeing benefits
Career development programs
Diversity, inclusion, and belonging initiatives.

Fulltime

New

FLEX Senior Network Observability Engineer

The Senior Network Observability Engineer, Network Reliability Engineering (NRE)...

Location

United States , Bethesda

Salary:

48.26 - 82.54 USD / Hour

Marriott Bonvoy

Expiration Date

March 26, 2026

Requirements

Bachelor’s degree in computer science, Network Engineering, or related discipline
advanced certifications (CCNP, AWS and Azure Networking Specialty) strongly preferred
8+ years of progressive experience in network observability, telemetry engineering, and performance optimization for large-scale, mission-critical environments
Proven expertise in collecting, processing, and correlating telemetry data (NetFlow, IPFIX, SNMP, streaming telemetry) to enable predictive analytics and proactive incident prevention
Hands-on experience with enterprise-grade observability, Saas and Security platforms, including Selector.ai, NetScout, NetBrain, ThousandEyes, BigPanda, and other AI/ML-driven monitoring solutions
Demonstrated ability to install, configure, and optimize observability tools, integrate APIs, and build automation workflows for anomaly detection and remediation
Strong proficiency in administration of network tools and policy enforcement, including role-based access control and compliance frameworks
Expertise in developing observability requirements, architecture designs, and implementation roadmaps, ensuring alignment with SRE principles and Agile delivery models
Deep understanding of foundational networking protocols and technologies (ARP, TCP/IP, UDP, DHCP, DNS, NAT) and advanced routing protocols (OSPF, BGP)
Hands on experience with Palo, Prisma, and SDWAN Strata Cloud Manager, Including routing and switching platforms (Cisco, Juniper, HP/Aruba)

Job Responsibility

Designing and implementing the Network Observability strategy and platforms for the next-gen operations and engineering for all Marriott International (MI) networks including the Property Networks, Datacenter, Corporate and Client Networks and multi-cloud environments into a proactive, telemetry-driven ecosystem
Work closely and collaboratively with a matrix team of expert network architects and engineers to drive adoption of SRE practices and operating models across all network product towers, and around globe
Architect solutions that leverage AI/ML-driven insights, real-time telemetry, and automation frameworks to predict, prevent, and resolve network issues before they impact business operations
Collaborate with network architects, product owners, and global operations teams to define and enforce observability standards, build automation pipelines, and deliver actionable intelligence across thousands of properties worldwide
Overcome the limitations of traditional monitoring and implement granular instrumentation, distributed tracing, and anomaly detection at scale

What we offer

401(k) plan
stock purchase plan
discounts at Marriott properties
commuter benefits
employee assistance plan
childcare discounts
medical coverage
dental coverage
vision coverage
health care flexible spending account

Fulltime

!

Head of Conversion Rate Optimization

As Head of Conversion Rate Optimization, your job is make more of the people who...

Location

Salary:

125000.00 - 160000.00 USD / Year

Fella

Expiration Date

Until further notice

Requirements

Proven AI/ML chops: You've actually built and deployed AI-driven optimization systems (personalization, predictive analytics, automated experimentation). Not just used tools, but architected intelligent systems
Senior CRO mastery: 7+ years leading high-impact CRO programs. Track record of driving 20%+ conversion improvements at scale. Deep expertise in statistical rigor, experimental design, and what actually moves metrics
Team builder: You've hired, mentored, and scaled high-performing teams. Can build this capability from the ground up while executing at the highest level yourself
Technical fluency: Comfortable in code, analytics tools, and complex implementation. Can work directly with engineers and data scientists to build sophisticated testing infrastructure
Speed + rigor: Move fast with conviction while maintaining statistical integrity. Bias to action, obsessed with 80/20, comfortable in ambiguity
Mission alignment: Actually care that conversion improvements = more patients getting life-changing treatment. Culture fit with our beliefs (radical cost reduction, algorithms over humans, profitability, only the paranoid survive)

Job Responsibility

Establish dominance: Conduct deep funnel analysis across all brands. Build AI-powered testing roadmap. Design and ship high-impact experiments within first 30 days. Drive measurable conversion lifts fast
Build infrastructure: Architect systematic experimentation framework. Implement advanced analytics, predictive models, and personalization engines. Create the testing culture and processes that scale
Own the numbers: Directly accountable for conversion rate improvements across key funnels. Track, forecast, and report on revenue impact with ruthless clarity
Scale the machine: Build and lead a world-class CRO team. Expand optimization across full customer journey (ads, landing pages, email, product, retention). Establish this as a compounding competitive advantage
Multiply revenue: Drive systematic improvements in CAC, conversion rates, and LTV. Make CRO the revenue efficiency engine that funds our mission to help humans live 100 healthy years

What we offer

Healthcare: comprehensive medical insurance (if appropriate)
Remote: our team is fully distributed across the world and functions fully remotely
Personal development: budget for books, courses, coaching
Personal wellness: budget for gym, health apps
GLP-1s: free membership with a clinic offering GLP-1s
Health coaching: free biweekly health coaching so you stay healthy
Work coaching: free biweekly work coaching so you stay sharp + calm
Equipment: Macbook & work-from-home equipment provided as needed

Fulltime

Senior Backend Engineer

This is a high-impact, deeply technical individual contributor role where you’ll...

Location

Salary:

Not provided

Catio

Expiration Date

Until further notice

Requirements

4+ years of experience in backend engineering at top-tier startups or technology companies
Proven track record of building scalable, production-grade systems, ideally in 0→1 product environments
Expertise in modern backend languages and frameworks (Go, Python preferred)
Deep knowledge of distributed systems and microservices architectures, with practical familiarity in observability and DevOps tooling
A systems-thinking mindset and a passion for solving architecture and infrastructure challenges—especially for the cloud-native space
Strong aptitude for performance tuning, debugging, and technical architecture design
Demonstrated ability to leverage AI-assisted development (e.g. Cursor, ChatGPT, Claude Code)
A high-trust personality with a growth mindset—able to collaborate across teams, share context, and own outcomes
Academic strength in Computer Science or related field
graduate-level education is a plus

Job Responsibility

Build scalable backend systems powering our observability, architecture modeling, and recommendation engines—leveraging data pipelines, microservices, and system modeling techniques
Integrate AI/ML workflows by collaborating with AI engineers to embed LLM-based and multi-agent architecture intelligence within the platform, enabling rich architecture recommendations and generative planning
Contribute to core architecture capabilities: Help identify key architectural patterns and best practices, build backend services that reflect architecture decisions and evolution, and ensure Catio provides actionable visibility for our users
Optimize performance and maintainability: Implement monitoring, fault-tolerant workflows, and observability layers for mission-critical services
Collaborate cross-functionally: Work with product managers, AI researchers, and technical leadership to translate requirements into robust platform capabilities
Learn and inform: Contribute to a high-performing engineering culture by sharing learnings and taking initiative to inform other team members where relevant

What we offer

top-tier compensation for startups at our stage
highly competitive salaries
significant equity in a rapidly growing, VC-backed company

Fulltime

Senior AI Engineer

We are seeking a Senior AI Engineer (L4, Individual Contributor) to design, buil...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience
3+ years in AI/ML development
Strong expertise in Python, PyTorch/TensorFlow, scikit-learn, and ML tooling (MLflow, LangChain)
Proficiency with SQL, cloud services (AWS), containers (Docker, Kubernetes), and distributed systems
Understanding of modern AI research (LLMs, diffusion models, transformers)
Experience deploying ML models in production with CI/CD
Strong analytical skills, ability to balance speed and rigor in experimentation
A passion for sustainability and the clean-energy mission
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more

Job Responsibility

Integrate with LLMs and be an expert in prompt engineering to derive the right results from the models with limited hallucination
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Deploy and optimize models for large-scale production workloads using Python-based services in AWS/Kubernetes environments
Build robust, automated data pipelines and ML Ops workflows for continuous training and deployment
Research and experiment with modern AI methods (transformers, foundation models, reinforcement learning) and adapt them to energy-sector challenges not limited to utility statements
Drive performance improvements in model accuracy, latency, and cost efficiency
Collaborate with Product, SRE, and Analytics teams to deliver AI-enabled features across Arcadia’s platform
Write clean, maintainable code, contribute to architecture reviews, and mentor junior engineers
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs

What we offer

Competitive compensation and employee stock options
Hybrid/remote-first working model (India-based role, with global collaboration)
Flexible leave policy
Comprehensive medical insurance (self + family members)
Annual performance cycle + quarterly recognition awards
A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation

Fulltime

Senior Software Engineer - Autonomous Systems

We are seeking an experienced Senior Software Engineer to join a newly-formed te...

Location

United States , Seattle

Salary:

145000.00 - 200000.00 USD / Year

Palantir Technologies

Expiration Date

Until further notice

Requirements

5+ years of professional software development experience
2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and existing systems
2+ years of experience as a mentor, tech lead or leading an engineering team
Strong proficiency in Rust, Python, or Java
Bachelor's/Master's/PhD in Computer Science, Robotics, Electrical Engineering, or related fields
Active US Security clearance or eligibility and willingness to obtain a US Security clearance

Job Responsibility

Design, implement, and optimize software for mission-critical autonomous systems using modern technologies and methodologies
Develop algorithms to process data from heterogeneous sensors for real-time state estimation and threat detection
Build AI-driven systems capable of assessing threats and rapidly making decisions to deploy responses to those threats
Develop integrations with a range of sensors, effectors, and autonomous platforms
Engineer scalable, reliable, and fail-safe systems capable of functioning in high-stakes environments
Partner with multidisciplinary teams, including robotics experts, hardware engineers, and system integrators, to deliver integrated solutions

What we offer

Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance
Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance
Commuter benefits
Relocation assistance
Take what you need paid time off, not accrual based
2 weeks paid time off built into the end of each year (subject to team and business needs)
10 paid holidays throughout the calendar year
Supportive leave of absence program including time off for military service and medical events
Paid leave for new parents and subsidized back-up care for all parents
Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation

Fulltime

Mission Optimization AI/ML Engineer

Arcfield

Location:
United States , Chantilly

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 25, 2026

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