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23d ago

Senior Cloud Cybersecurity Engineer

Leidos Bethesda, MD

Bethesda, MD

23d ago

$131k - $237k/yr Full time Cloud Platforms Cybersecurity Tools DevSecOps

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Job Description

The Senior Cloud Cybersecurity Engineer role at Leidos places you at the heart of safeguarding the DOMEX Technology Platform's OSINT stack within cloud environments. This onsite position in Bethesda, MD combines RMF accreditation duties with hands-on security controls and DevSecOps integration to ensure resilient, mission-focused operations. The role offers a competitive salary range of USD 131,300 to 237,350 per year and requires a Master’s degree along with extensive experience.

Responsibilities

Review and provide feedback on cybersecurity, architecture, and engineering artifacts across the system.
Assess Body-of-Evidence results used to support DoD and IC RMF cybersecurity authorizations, delivering actionable guidance.
Perform periodic compliance scanning, vulnerability assessments, and risk analyses for cloud-based systems.
Implement and manage security controls for containerized applications and the underlying cloud infrastructure.
Collaborate with DevSecOps, infrastructure, and software development teams to embed secure coding and engineering practices.
Ensure security measures are integrated into software development processes, CI/CD pipelines, and engineering tools.
Develop, maintain, and execute shell commands, scripts, and automation code for STIG compliance and validation.
Implement and oversee continuous monitoring solutions for cloud-based architectures.
Support government cybersecurity officials and program personnel in preparing cybersecurity packages such as Interim Authority to Test, Authority to Operate, and Change Requests.
Stay current with emerging cloud security threats, technologies, and best practices.

Requirements

Active Top Secret clearance with SCI eligibility and the ability to obtain a polygraph.
Education and experience: Bachelor’s degree in Cybersecurity, Computer Science, Information Assurance, Engineering, or related technical field with 12–15 years of relevant experience, or Master’s degree with 10–13 years of relevant experience. Additional years may be substituted for a degree. ISSO experience must include demonstrated technical expertise.
DoD 8570.01-M IAT or IAM Level II or higher certification (e.g., CCNA Security, CySA+, Security+ CE, CISSP or Associate) and the ability to obtain Privileged User Account/elevated access per policy.
Hands-on Linux experience and scripting proficiency in Bash, Python, Perl, or similar languages.
Experience with Commercial Cloud Services (C2S) and cloud-based enterprise services, preferably AWS.
Background in securing software applications and infrastructure through security controls.
Experience supporting RMF processes, including authorization and continuous monitoring.
Familiarity with NIST SP 800-37, SP 800-53 Rev4/Rev5, CNSSI 1253, and applicable DoD Instructions.
Experience implementing and validating STIG compliance across OS, database, server, and application tiers.
Experience with RMF/GRC platforms such as Xacta or eMASS.
Experience performing compliance and vulnerability scans with SIEM, SAST, and DAST tools.
Understanding of cloud-specific security threats and the resulting required system security posture.
Knowledge of securing Kubernetes platforms and integrating security into CI/CD pipelines, containers, and orchestration tools.

Technologies

Bash
Python
Perl
Linux
AWS
Commercial Cloud Services (C2S)
Kubernetes
Xacta
eMASS
SAST
DAST
SIEM
STIG
RMF

Benefits

Paid time off
11 paid holidays
401(k) with 6% company match and immediate vesting
Flexible schedules
Discounted stock purchase plans
Technical upskilling opportunities
Education and training support
Parental paid leave

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23d ago

Product Design Engineer

ITT Inc. Valencia, CA

Valencia, CA

23d ago

$113k - $169k/yr Full time Ansys CAD Catia V5

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Job Description

This role focuses on the design and development of electro-mechanical valves, ducting, and fluid/thermal control systems, guiding products from concept through production.

Responsibilities

Collaborate with engineering leadership, finance, mechanical engineering, quality, testing, program management, and production support to advance project goals.
Coordinate with cross-functional teams to develop prototypes and products that are ready for production transfer.
Perform design work and analysis to satisfy internal specifications and customer requirements.
Design tooling and fixtures as needed to ensure consistent, economical manufacturing of designs.
Assist in resolving technical issues in the lab and on the production line.
Assist in evaluating and addressing field escapes and customer-reported issues.
Create parts lists and digital bills of materials, including sub-assemblies, fasteners, tooling, and hardware, aligned with design requirements.
Develop procedures for parts and systems, such as Acceptance Test Procedures, Qualification Test Procedures and Reports, and Qualification by Analysis and Similarity Reports.
Generate 3D models and 2D drawings of parts and assemblies using ANSI and ASME Y14 GD&T standards and other best practices.
Develop product concepts, tooling designs, drawings, and bills of materials based on customer data, loading, performance requirements, material applicability, and environmental constraints.
Lead assigned projects and drive progress to milestones.
Develop designs, data, specifications, processes, and reports throughout the product development lifecycle.
Present findings and designs at technical reviews.

Requirements

B.S. in Mechanical or Aeronautical/Aerospace Engineering, or equivalent education and experience, with 8+ years in an engineering design and development environment.
Extensive experience designing mechanical components and systems using advanced composites, elastomers, and metals (examples include ECS components, ducts, and multi-layer panels).
Familiarity with aerospace composite and metal manufacturing methods and best practices.
Self-motivated with strong problem-solving skills.
Willingness to methodically share knowledge with other team members.
Proficient in CAD modeling and engineering drawings using SolidWorks and/or Catia.
Excellent verbal and written communication skills.
Proficient with Microsoft Office applications.

Technologies

SolidWorks
Catia
Ansys
Oracle
Microsoft Office

Desired Capabilities

Experience with project engineering and technical leadership.
Familiarity with RTCA/DO-160 and MIL-STD-810 environmental testing standards.
Ability to define test plans, write test procedures, and lead development and qualification testing.
Experience with stress analysis and simulations, with Ansys preferred.
Familiarity with MRP/ERP systems, preferably Oracle.

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23d ago

Product Design Engineer

Visiontron Corp. Holtsville, NY

Holtsville, NY

23d ago

$60k - $100k/yr Full time CAD Design Engineering Design For Manufacturing

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Job Description

Visiontron Corp. is seeking a Product Design Engineer to own the full product lifecycle, from concept through production, providing hands-on engineering support across design and manufacturing teams. This onsite role in Holtsville, NY emphasizes SolidWorks modeling, Excel-based BOM management, and evaluating performance and manufacturability to deliver robust, cost-conscious solutions.

Responsibilities

Independently drive the development of new products, processes, and quality procedures.
Revise existing designs to improve clarity and update related documentation (drawings, BOMs, QC standards).
Create 3D models and production-ready drawings in SolidWorks.
Assemble BOM records for new or existing products using Microsoft Excel.
Investigate product performance issues and prototype new designs with documented experiments and tests.
Update Engineering Change Order documentation as needed.
Compile customer-facing product specification spreadsheets in Excel.
Conduct time studies to support accurate costing and process improvements.

Requirements

Experience guiding a product from concept to completion.
Interest or experience with diverse materials and processes, including aluminum extrusions, plastic injection molded components, metal fabrication (welding, machining, stamping), rubber molding, zinc die casting, and brass die casting.
Collaborative approach to working with production staff to align designs with facility capabilities including CNC milling, CNC plasma, routing, welding, sheet metal bending, and related fabrication methods.
Willingness to tackle a wide range of technical tasks in production and design.
3 to 7 years of proven success in a design or manufacturing technical role.
Familiarity with designing parts for castings, extrusions, stamping, machining, welding, and injection molding is preferred.
Familiarity with drawing standards for manufacturability.
Strong computer skills, including SolidWorks and the Microsoft Office suite.
Bachelor’s Degree in Mechanical Engineering, Industrial Design, or a related technical field.
Ability to balance manufacturability with cost, durability, and aesthetics.
Excellent organizational, project management, interpersonal, and analytical skills.

Technologies

SolidWorks
Microsoft Excel
Microsoft Office Suite

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Health savings account
Life insurance
Paid time off
Referral program
Retirement plan
Vision insurance

Compensation

Salary: USD 60,000 - 100,000 per year

Location

Holtsville, NY (onsite)

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23d ago

Senior Product Design Engineer

ITT Inc. Valencia, CA

Valencia, CA

23d ago

$140k - $210k/yr Full time Ansys CAD Catia V5

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Job Description

Responsibilities

Lead technical direction for designated ECS projects, ensuring alignment with cost targets, schedules, performance parameters, and certification needs.
Work in close partnership with engineering leadership, finance, manufacturing engineering, quality, testing, program management, and production support to achieve program objectives.
Drive development of product concepts, detailed designs, tooling concepts, drawings, and BOMs based on customer data, loads, performance requirements, material choices, and environmental constraints.
Steer design and analysis activities to satisfy internal standards, customer specifications, and applicable regulatory requirements.
Oversee prototype development and lead efforts to transition designs into repeatable, cost‑efficient production.
Design and validate tooling and fixtures necessary for reliable manufacture of ECS components and assemblies.
Act as a technical authority for diagnosing and resolving complex issues encountered during development, testing, production, or field operation.
Lead investigations and resolutions of escapes, nonconformances, and customer‑reported field issues, including root cause analysis and corrective actions.
Ensure accurate generation of parts lists and digital BOMs, including sub‑assemblies, fasteners, tooling, and hardware.
Lead the creation of technical documentation such as ATPs, QTPs, qualification reports, and qualification by analysis and similarity justifications.
Produce and approve high‑quality 3D models and 2D engineering drawings in compliance with ANSI and ASME Y14 GD&T standards and industry best practices.
Present technical status, risks, and recommendations at internal and external design and program reviews.
Mentor and support the technical development of junior and mid‑level engineers.

Requirements

A B.S. in Mechanical Engineering, Aeronautical/Aerospace Engineering, or equivalent technical field, with 10+ years of progressively responsible experience in an engineering design and development environment.
Extensive experience designing mechanical components and systems using advanced composites, elastomers, and metallic materials (including ECS components, ducts, and multi‑layer panels).
Strong working knowledge of aerospace composite and metallic manufacturing processes, design for manufacturability (DFM), and design for assembly (DFA) principles.
Demonstrated ability to independently drive complex technical problems to closure.
Proven track record of knowledge sharing, mentoring, and technical leadership within engineering teams.
Advanced proficiency in CAD modeling and detailed drawing creation using SolidWorks and/or CATIA.
Excellent written and verbal communication skills, with the ability to clearly convey technical concepts to cross‑functional and customer audiences.
Proficient with Microsoft Office applications.

Technologies

SolidWorks
CATIA
ANSYS
Microsoft Office
Oracle

Desired capabilities

Experience serving as a project engineer or technical lead on multi‑disciplinary development programs.
Familiarity with RTCA/DO‑160 and MIL‑STD‑810 environmental qualification standards.
Ability to define test strategies, author test procedures, and lead development, qualification, and certification testing.
Experience performing or directing stress analysis and simulations, with ANSYS preferred.
Familiarity with MRP/ERP systems, preferably Oracle.

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23d ago

Senior Machine Learning Engineer

Onward Search Brooklyn, NY 🇺🇸 Remote

Brooklyn, NY

23d ago

$80 - $85/hr Contract Ad Tech Data Engineer Data Processing

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Job Description

Onward Search is seeking a Senior Machine Learning Engineer for a remote, U.S. based contract role within an e-commerce ads platform. The focus is on building scalable ML models and production-grade ML systems. This assignment runs for 10 to 26 weeks with an hourly rate of USD 80 to 85. The position is based in Brooklyn, NY with remote work options and requires a minimum of two years of relevant experience.

Responsibilities

Design and maintain scalable machine learning models to enhance ad relevance and overall system efficiency.
Collaborate with product, data, and engineering teams to improve ad candidate retrieval and user engagement metrics.
Deploy, monitor, and optimize ML systems operating in production environments.
Contribute to data pipeline architecture to support scalable machine learning workflows.
Troubleshoot and resolve issues in live production ML systems.

Qualifications

Proficiency in Python, with additional experience in Scala, Java, or C/C++.
Strong software engineering foundation with the ability to develop performant data pipelines on distributed systems.
2-5 years of hands-on experience across the ML lifecycle, including training, deployment, and monitoring.
Familiarity with vector databases and retrieval systems, with ANN tuning; Vespa experience preferred.
Practical experience using frameworks such as TensorFlow or PyTorch.

Technologies

Python
Scala
Java
C/C++
Vespa
TensorFlow
PyTorch

Benefits

Medical, Dental, and Vision Insurance
Life Insurance
401(k) Program
Commuter Benefit
eLearning and Ongoing Training
Education Reimbursement

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23d ago

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)

Capital One New York, NY

New York, NY

23d ago

$251k - $286k/yr Full time Big Data Cloud Platforms Data Processing

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Job Description

The Senior Lead, Machine Learning Engineer role within Capital One's Enterprise Platforms Technology (EPTech) team in New York, NY (onsite) focuses on productionizing ML applications at scale, designing and implementing models and infrastructure, and ensuring governance, security, and performance of ML systems.

Responsibilities

Design and deliver ML models and components that address real-world business needs, in collaboration with Product and Data Science teams.
Guide ML infrastructure decisions based on modeling techniques and considerations, including model choice, data and feature selection, training, hyperparameters, dimensionality, bias/variance, and validation.
Tackle complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Collaborate within a cross-functional Agile team to build software that enables state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Apply continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Ensure code quality and governance to reduce vulnerabilities, maintain risk governance for models, and adhere to responsible and explainable AI practices.
Utilize programming languages such as Python, Scala, or Java.

Requirements

Bachelor’s degree
At least 8 years of experience designing and building data‑intensive solutions using distributed computing (internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions

Technologies

Python
Scala
Java
scikit-learn
PyTorch
Dask
Spark
TensorFlow
AWS
Azure
Google Cloud Platform

Benefits

Health benefits
Financial benefits
Performance-based incentive compensation (cash bonuses and long-term incentives)

Preferred Qualifications

Master’s or doctoral degree in computer science, electrical engineering, mathematics, or a related field
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of experience developing performant, resilient, and maintainable code
3+ years of experience with data gathering and preparation for ML models
3+ years of people management experience
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
3+ years of experience building production-ready data pipelines that feed ML models
Ability to communicate complex technical concepts clearly to a variety of audiences

Salary by Location

McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer
New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer

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23d ago

Principal Machine Learning Engineer, Agentic AI

Zillow Portland, OR 🇺🇸 Remote

Portland, OR

23d ago

$204k - $327k/yr Full time Agent Agentic Ai Agents

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Job Description

Join Zillow's Agentic AI team as a Principal Machine Learning Engineer to lead hands-on development of multimodal foundational AI technologies. You will prototype, evaluate, and deploy models for perception, language understanding, deep reasoning, and agent decision-making at scale.

This remote role is based in Oregon and offers a salary range of USD 204,400 to 326,600 per year. The position requires a Master’s degree or above and at least seven years of relevant experience.

Responsibilities

Leverage frameworks like AgentSDK, LangChain, and LangGraph to design, prototype, and develop multi-agent systems that are capable of highly autonomous and context-aware interactions.
Utilize advanced GenAI models including reasoning models and real-time voice APIs to build agentic prototypes and progressively convert them into product-level agentic skills deployed to users.
Adopt a build, learn, and pivot mindset while upholding a high bar for shipping production-ready solutions.
Mentor and guide engineers in selecting technologies for agentic AI solutions and foster a culture of innovation coupled with responsible AI usage.
Distill complex research findings and system designs into actionable insights for diverse audiences, including executives.
Remain at the forefront of agentic AI paradigms, driving product innovation.
Serve as the focal point for applied science projects, driving alignment on timelines and prioritization.
Continuously refine processes for experimentation, A/B testing, and production rollouts to balance rapid innovation with reliability and responsible deployment.

Requirements

A master’s degree or higher, or equivalent experience in Computer Science, Electrical Engineering, or a related field with emphasis on foundational LLM, agentic AI, reinforcement learning, AI planning, or natural language processing.
7+ years of hands-on work building large-scale, high-impact solutions, ideally with recent focus on agent-based systems or multi-agent collaboration.
Experience developing dialogue systems capable of long conversations, multi-step reasoning, and context-rich decision-making.
Experience deploying and scaling AI services that handle hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance.
A track record of publishing high-impact research in top AI/ML venues is a plus.