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29d ago

AI Machine Learning Engineer

Lockheed Martin Corporation Moorestown, NJ 🇺🇸 Remote

Moorestown, NJ

29d ago

$89k - $178k/yr Full time Artificial Intelligence Computer Vision Deep Learning

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Job Description

AI/ML Engineer to design and deploy AI driven technologies across Lockheed Martin, spanning concept to deployment and leveraging computer vision, deep learning, and reinforcement learning.

Responsibilities

Provide support to the AI team and product portfolio across the enterprise on a broad range of projects.
Develop AI enabled technologies and products that deliver differentiating capabilities to internal teams, organizations, business areas, and customers.
Participate in all stages of the system development lifecycle, including requirements generation, system and software design, development, integration, and deployment.
Engage in activities from early research (low TRL) through proofs of concept, prototype development, demonstrators, to production transition.
Apply current AI paradigms such as computer vision, deep learning, and reinforcement learning to solve complex problems and deliver innovative solutions.
Take technical ownership of development tasks and assume responsibility for outcomes.

Requirements

Bachelor’s Degree in Engineering, Computer Science, or related discipline.
Strong Python experience with libraries such as NumPy, OpenCV, Scikit-learn, Pandas, and LangChain.
Experience with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, MXNet, or Caffe.
Experience with network and messaging technologies including UDP, ZeroMQ, RESTful APIs.
Familiarity with compiled languages such as C++, Java, JavaScript, TypeScript, HTML5/CSS, and Go.
Experience developing applications on Windows and Linux.
Creative and resourceful problem-solving abilities.
U.S. Citizenship required.

Technologies

Python, NumPy, OpenCV, Scikit, Pandas, LangChain
PyTorch, TensorFlow, Hugging Face, MXNet, Caffe
UDP, ZeroMQ, RESTful API
C++, Java, JavaScript, TypeScript, HTML5, CSS
Go
Windows, Linux

Benefits

Medical
Dental
Vision
Life Insurance
Short-Term Disability
Long-Term Disability
401(k) match
Flexible Spending Accounts
EAP
Education Assistance
Parental Leave
Paid time off
Holidays

Job Details

Job ID: 729404BR
Date Posted: May 25, 2026
Location: Moorestown, NJ (remote)
Salary: USD 89,300 - 177,905 per year
Education: Bachelor's Degree in Engineering, Computer Science, or related discipline

Expression of Interest

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as matches. If a match is identified, you may be contacted for this and future openings.

Work Arrangements

Full-time remote telework: The employee will work remotely full time and may travel to a Lockheed Martin office for periodic meetings.
Schedule: 4x10 hour days, 3 days off per week.

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29d ago

Data Analyst, Technology Consulting - Data & Analytics (Data Architecture & Engineering) - Financial Services Office (Manager)

EY Philadelphia, PA

Philadelphia, PA

29d ago

$218k - $218k/yr Full time Manager Analytics Azure Synapse Analytics

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Job Description

EY's Financial Services Office in Philadelphia is seeking a Data Analyst in Technology Consulting focused on Data & Analytics, with emphasis on Data Architecture & Engineering. This hybrid role centers on designing modern data platforms and data products to support end-to-end data solutions for financial services clients, and includes leadership responsibilities within the Philadelphia team. The position offers a compensation of USD 218,230 per year.

Below is a structured summary of responsibilities, requirements, technologies and benefits associated with the role.

Responsibilities

Understand business challenges and address remediation through data architecture and engineering solutions.
Collaborate with clients to transform data usage by architecting modern data platforms, data products, and data marketplaces, delivering end-to-end solutions that improve the data supply chain, reengineer processes, enhance risk controls, and enable information intelligence using current technologies.
Solve complex issues and drive growth across the financial services sector.
Define data and analytic strategies by conducting assessments, recommending remediation strategies based on identified gaps, and designing future-state data and analytics solutions.
Lead and coach diverse teams with varied backgrounds; manage cross-functional teams to ensure task and timeline accountability.
Propose and drive new technologies to enhance or replace existing business processes.
Initiate and build thought leadership through white papers, points of view, and proofs of concept.
Develop strategies to solve problems logically using creative methods.
Engage and influence large teams and functional leaders; maintain long-term client relationships and networks; cultivate business development opportunities.

Requirements

Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or related field with 5 years of progressive, post-baccalaureate work experience; or Master’s degree in the same fields with 4 years of related work experience.
3 years of combined experience in the banking, capital markets, insurance, and/or wealth and asset management industries.
3 years of experience assisting clients with strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives and/or Event-driven Architecture.
3 years of experience with traditional data architecture practices including Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing.
3 years of experience with Next-Gen platforms including hyperscalers (AWS, GCP, and/or Azure), Snowflake, Databricks, and/or distributed databases.
3 years of experience designing or architecting large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, and/or data integration pipelines.
3 years of combined experience in at least one of: traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL); MPP (Redshift, Synapse, Teradata, Vertica, Netezza); NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch); Streaming Platform and Applications (Spark streaming, Kafka, Confluent, Storm); DevOps (GitHub, Kubernetes, Jenkins, Terraform); Data Modeling (Data Vault, Star, Snowflake, or Canonical).
Domestic and regional travel up to 60% to meet client needs.

Technologies

AWS, GCP, Azure
Snowflake, Databricks, Redshift, Synapse, Teradata, Vertica, Netezza
MongoDB, DynamoDB, Cassandra, Neo4j, Titan, Elasticsearch
Spark streaming, Kafka, Confluent, Storm
GitHub, Kubernetes, Jenkins, Terraform
MS SQL Server, Oracle, MySQL, PostgreSQL
Data Vault, Star, Canonical
Master Data Management

Benefits

Medical and dental coverage
Pension and 401(k) plans
Paid time off
Hybrid work model
Flexible vacation policy
EY paid holidays
Winter/Summer breaks
Personal/Family care
Other leaves of absence
Continuous learning
Transformative leadership
Diverse and inclusive culture

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29d ago

Software Engineer Mid-level (Java Full Stack)

USAA Phoenix, AZ

Phoenix, AZ

29d ago

$94k - $179k/yr Full time Backend Developer API APIs

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Job Description

USAA's Investment Experience Technology organization in Phoenix is seeking a mid-level Software Engineer (Java Full Stack) to design and deliver high-impact Java/Full-Stack solutions using a modern tech stack that powers digital-first investment experiences. This hybrid role combines hands-on development with collaboration across design reviews, production support, and mentoring responsibilities, contributing to robust software while advancing your technical career.

Responsibilities

Design, develop, code, and test complex technical solutions across the stack.
Troubleshoot and resolve intricate application and production issues through systematic analysis.
Perform complex systems analysis to identify improvements and recommend changes to operations and procedures.
Define system specifications and standards to prepare and install complex solutions.
Adhere to the software development lifecycle and participate in design reviews.
Mentor junior engineers and participate in peer code reviews.
Identify, measure, and control risks related to business activities in line with risk and compliance policies.

Requirements

Bachelor’s Degree or four additional years of experience in lieu of a degree, or an approved certification from CodeUp, Galvanize, VetFIT (Veterans for IT) or eFIT (Employees for IT).
At least four years of software development experience with deep technical expertise in one or more disciplines/technologies.
Two years of delivering technology solutions across all phases of the software development lifecycle, including leading code and design reviews.
Working knowledge of one or more of the following: Java, Swift, Objective-C, Cobol, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python.
Developing business acumen in operations, risk management, industry practices, and emerging trends.
Experience addressing production issues through troubleshooting and issue resolution.
Ability to articulate technical challenges and solutions clearly.
Basic understanding of cloud technologies and tools.

Technologies

Java, Go, Groovy, Spring Boot
Docker, Gradle, Maven
Git, GitLab CI
OpenShift, AWS
Apache Kafka, Snowflake
Flowable, EWL, DocuSign
HTML, CSS, SQL, JavaScript
Kotlin, C++, Objective-C, Cobol, Swift, Python

Benefits

Comprehensive medical, dental and vision plans
401(k) retirement plan
Pension
Life insurance
Parental benefits
Adoption assistance
Paid time off plus paid holidays and 16 paid volunteer hours
Wellness programs
Career path planning and continuing education support

Compensation

The salary range for this position is $93,770.00 - $179,240.00 per year.

USAA uses an effective process for assessing market data to establish ranges and stay competitive. The actual salary offered is based on experience, market data, and may vary by location.

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29d ago

Lead AI Software Engineer

Liberty Personnel Services, Inc, LP86342 Wilmington, DE

Wilmington, DE

29d ago

$150k - $165k/yr Full time Senior Artificial Intelligence Cloud Operations

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Job Description

Liberty Personnel Services, Inc. (LP86342) is partnering with a Wilmington, Delaware employer to recruit a senior AI software engineer for a hybrid role. The position offers a salary range of $150,000 to $165,000 per year and the opportunity to own the full lifecycle of production-grade AI systems, from prototype to deployment. You will build LLM powered applications, internal copilots, workflow automations, and intelligent agents that drive tangible business outcomes, while operating in a collaborative, results-focused environment.

Responsibilities

Develop and deploy applications powered by large language models (LLMs).
Deliver internal copilots, workflow automation capabilities, and intelligent agents to support teams.
Advance solutions from proof of concept to stable, SLA-backed production services.
Design with observability, rollback, and resilience in mind from day one.
Own retrieval augmented generation (RAG) systems.
Architect ingestion, chunking, embedding, indexing, and hybrid retrieval pipelines.
Implement reranking strategies and evaluation methods for retrieval quality.
Continuously measure and improve retrieval performance using structured offline and online metrics.
Design scalable AI infrastructure and secure architectures in AWS.
Implement identity controls, secrets management, and usage governance for AI workloads.
Automate infrastructure provisioning and establish reusable patterns for AI workloads.
Establish observability and reliability for AI systems through tracing, logging, and version tracking of prompts and agents.
Create evaluation dashboards, regression alerts, and canary testing strategies.
Develop testing frameworks that address non-deterministic AI behavior.
Implement guardrails and governance controls to protect data and outputs.
Enforce PII protections, access controls, audit logging, and review workflows; build safeguards to manage hallucination risk and policy violations.
Drive cost and performance optimization by reducing latency and increasing throughput via batching, caching, routing, and scaling.
Establish unit economics for AI initiatives and continually reduce run-rate model costs.
Enable other engineers by creating reusable templates, SDKs, and abstractions to accelerate safe AI development.
Raise engineering standards and best practices for AI across teams.
Operate what you build by participating in on-call rotations, authoring runbooks, and eliminating single points of failure.
Maintain the same level of operational rigor for AI systems as for modern production services.

Requirements

5 to 10 years of professional software engineering experience.
2+ years building and deploying AI or LLM applications in production environments.
Strong Python proficiency and solid backend engineering fundamentals.
Experience designing and tuning RAG systems, including embeddings, hybrid search, reranking, and vector databases.
Familiarity with both commercial and open source model providers and multi-step orchestration.
Experience with CI/CD, containers, cloud infrastructure (AWS preferred), and production operations.
Hands-on experience with observability, tracing, and monitoring tools.
Focus on cost efficiency, quality, and risk management in AI systems.
Ability to collaborate cross-functionally and mentor other engineers.

Technologies

Python
AWS
Vector databases
CI/CD
Containers

Nice to have

Experience fine-tuning or distilling models.
Familiarity with orchestration platforms for ML or data workflows.
Exposure to container orchestration or high-performance API frameworks.
Experience integrating structured and warehouse-based data sources into retrieval systems.

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29d ago

Senior Software Engineer

Disney Entertainment and ESPN Product & Technology New York, NY

New York, NY

29d ago

$149k - $199k/yr Full time Backend Developer Senior API

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Job Description

The Senior Software Engineer will design, develop, and deploy scalable software solutions using Scala and backend languages, leveraging AWS and Kubernetes within Disney Entertainment and ESPN Product & Technology. This role is based on site in New York, NY, and pairs technical leadership with hands-on development to deliver robust media and entertainment platforms.

Responsibilities

Create and maintain scalable, secure, and efficient software applications using Scala and other server-side languages.
Leverage AWS components such as CloudFormation, EC2, Lambda, S3, and Dynamo to deploy and manage cloud-based applications.
Build containerized workloads with Docker and operate services on Kubernetes.
Architect distributed systems that are fault-tolerant, highly available, and scalable, incorporating event-driven design, microservices, and data consistency considerations.
Establish observability through tagging, metrics, and logs, and use Datadog to monitor real-time health and performance of applications.
Collaborate with product managers, UI/UX designers, and DevOps engineers to define requirements, design systems, and deliver features.
Write clean, maintainable, and testable code, conducting code reviews and mentoring junior engineers on and offshore.
Address complex technical challenges and continuously seek improvements in performance, scalability, and reliability.
Adhere to team best practices for the safe use of large language models and propose enhancements when appropriate.

Requirements

Bachelor's degree in Computer Science, Electrical and Computer Engineering, or a related field.
Minimum five years of software development experience, with a focus on functional programming with Scala stacks.
Hands-on experience with AWS cloud services and Kubernetes for container orchestration.
Strong understanding of RESTful APIs, Microservices Architecture, and Event-Driven Architecture.
Strong problem-solving abilities, meticulous attention to detail, and the ability to thrive in a collaborative, fast-paced environment.
Experience with Scala using ZIO, Cats, and Cats Effect; also proficient with Java and Kotlin; familiarity with AWS tools such as CloudFormation and Terraform or similar technologies; experience with Istio and Spinnaker; full software development lifecycle including post-release maintenance; Agile practices and version control systems such as Git and Jira.

Technologies

Scala
AWS
Kubernetes
Docker
Datadog
CloudFormation
EC2
Lambda
S3
Dynamo
Terraform
Istio
Spinnaker
Java
Kotlin
ZIO
Cats
Cats Effect
Git
Jira

Compensation

Salary: USD 148,700 - 199,400 per year

Benefits

Medical benefits
Financial benefits
Bonus and/or long-term incentive units
Other benefits

Why you may want to join

Building the future of Disney’s media: Technologists design and build products and platforms powering media, advertising, and distribution for years to come.
Reach, Scale & Impact: Disney’s technology and products serve as a key gateway for fans to connect with brands and stories across Disney+, Hulu, ESPN, ABC, and more, reaching millions globally.
Innovation: Development of groundbreaking products and techniques that shape industry norms and solve distinctive technical challenges.

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29d ago

Structural Engineer Principal

AEP Service Corporation Columbus, OH

Columbus, OH

29d ago

$117k - $151k/yr Full time ASCE 7 AutoCAD Civil Engineering

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Job Description

What we offer

Join AEP Service Corporation in Columbus, Ohio, onsite, and influence retrofit and new build projects across gas, coal, and renewable plants. This role centers on defining structural design criteria and delivering calculations, drawings, and specifications for buildings, supports, foundations, platforms, stacks, and other plant structures while coordinating with AE, EPC, and project stakeholders. The position carries a salary range of USD 117,000 to 151,132 per year, accompanied by a comprehensive benefits package and paths for professional growth.

Discretionary short- and long-term incentives
401(k)
Pension
Health insurance
Vacation
Educational assistance

Responsibilities

Develop and document structural design criteria for buildings, supports, foundations, steel framing, platforms, ladders, and access structures.
Perform and review structural analyses and calculations for gravity, wind, seismic, thermal, dynamic, fatigue, and equipment-induced loads.
Coordinate foundation and anchor design with geotechnical and civil inputs; verify equipment anchor loads, grout details, and anchorage specifics.
Prepare and review structural drawings, connection details, material specifications, and fabrication/shop drawings.
Interface with OEMs during RFx and procurement to confirm loadings, lift points, shipping restraints, and installation constraints.
Collaborate with Mechanical, Civil, Electrical, and I&C teams to address structural interfaces, alignment, access, and maintenance requirements.
Support construction and erection activities including shop drawing reviews, welding/NDT requirements, field inspections, NCR resolution, and as-built documentation.
Assess retrofit or modification scopes and recommend reinforcement, bracing, or replacements to meet code and lifecycle needs.
Ensure compliance with applicable codes and standards and contribute to inspection and long-term asset management planning.

Requirements

Strong knowledge of structural steel and reinforced concrete design, connection design, and fabrication practices.
Understanding of dynamic and vibration effects from turbomachinery and their impact on support design and isolation.
Proficiency in seismic, wind, thermal, and fatigue loading; applying codes such as AISC, ACI, ASCE, IBC, and AWS.
Familiarity with erection sequencing, rigging and lifting plans, temporary works, and field inspection protocols.
Solid technical writing and communication skills for coordination with multi-disciplinary teams and stakeholders.
Proficiency with MS Office and document control systems.

Technologies

STAAD.Pro
SAP2000
ETABS
RISA
RAM
AutoCAD
Revit
PDMS
AVEVA
MS Office

What you’ll do

Technical Expertise: Apply advanced proficiency and specialized knowledge to serve as a technical resource in focused domains such as system production, underground systems, control systems, thermo-hydraulic controls, distribution standards, and plant operations including fossil or nuclear facilities.
Leadership & Guidance: Influence thinking within the unit by leading and coordinating work, and assume project or function management for assigned tasks.
Planning & Organization: Develop and implement plans that cover scheduling, resources, and cost information to tackle complex engineering challenges requiring cross-functional collaboration.
Problem Solving & Initiative: Identify, clarify, and resolve complex problems, pursuing opportunities that yield system-wide impact.
Communication: Lead the preparation and presentation of technical topics to senior management, professional groups, and regulatory bodies with clarity and credibility.
Interpersonal Skills: Build cross-company networks with AEP, partners, professional associations, regulatory agencies, and academia.
Decision Making: Make technical decisions with calculated risk and long-range implications, often across organizational boundaries.
Business Awareness: Recognize opportunities and understand how decisions affect customers and suppliers.

Preferred qualifications

Professional Engineer (PE) license or actively pursuing PE
Direct experience with simple/combined-cycle plant structures, HRSG supports, stack design, and renewable plant structural scopes
Experience with construction management, shop fabrication practices, and NDT/welding specifications
Bachelor’s degree in Structural or Civil Engineering with a structural emphasis
Structural engineering experience on power generation, industrial, or heavy construction projects
Proficiency with structural analysis and design software (STAAD.Pro, SAP2000, ETABS, RISA, RAM) and CAD/3D tools (AutoCAD, Revit, PDMS/AVEVA)
Experience producing and reviewing structural calculations, shop drawings, and RFx/vendor submittals

Working conditions

Approximately 25 percent travel, including day trips and overnight stays up to a week or longer
Work conducted in both indoor and outdoor environments with exposure to heat, cold, noise, dust, fumes, and operating machinery
Mandatory safety gear at construction sites and generating stations: hard hat, eye and hearing protection, steel-toed shoes with heels and non-slip soles
Compliance with site-specific safety requirements is required

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29d ago

Senior/Lead - Backend Engineer/Data Engineer - AI Engineering

FICO Remote 🌍 Remote

Remote

29d ago

$140k - $220k/yr Full time Backend Developer Senior Analytics

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Job Description

Senior/Lead Backend Engineer and Data Engineer on FICO's Applied AI team, responsible for building scalable backend systems and data pipelines that power AI-driven analytics, decisioning, and automation.

Responsibilities

Architect and deploy scalable backend services and data pipelines that integrate applied AI into FICO’s analytics and decisioning platform.
Deliver robust data ingestion, transformation, and storage solutions to support reliable, high-throughput real-time analytics.
Craft LLM-based solutions for decision automation, fraud investigation, and process automation within the platform.
Develop advanced prompting strategies and Retrieval-Augmented Generation (RAG) architectures for high-stakes applications.
Collaborate with data scientists, ML engineers, and product teams to build microservices and APIs that enable intelligent, data-driven decisions.
Optimize distributed architectures and implement real-time processing frameworks to handle large volumes with low latency.
Implement comprehensive monitoring, testing, and performance optimization to ensure security, reliability, and scalability.
Define and evolve architectural patterns that scale FICO’s analytics and decisioning solutions.
Lead and mentor engineers, promoting best practices across software development, data engineering, AI integration, and systems design.

Requirements

7+ years of backend or data engineering experience delivering complex, large-scale production systems.
Proficiency in Python, Go, Java, or equivalent languages with a focus on clean, maintainable, well-tested code.
Hands-on experience with big data frameworks (Apache Spark, Kafka, Hadoop) and solid knowledge of relational and NoSQL databases.
Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes).
Proven ability to design, build, and operate scalable production-grade backend systems emphasizing reliability and performance.
Strong background in testing frameworks (including A/B testing), performance optimization, and production observability.
Demonstrated track record of integrating AI/ML solutions into production systems, including work with Large Language Models (LLMs).
Experience with Retrieval-Augmented Generation (RAG) architectures and familiarity with vector databases (Pinecone, Weaviate, pgvector) is highly preferred.
Excellent problem-solving and communication skills, with ability to mentor engineers, influence technical direction, and collaborate across teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field; advanced degree is a plus but not required.

Technologies

Python, Go, Java
Apache Spark, Kafka, Hadoop
AWS, GCP, Azure
Docker, Kubernetes
Large Language Models (LLMs), Retrieval-Augmented Generation (RAG)
Pinecone, Weaviate, pgvector

Benefits

Inclusive culture aligned with core values: Act Like an Owner, Delight Our Customers, Earn the Respect of Others.
Impactful work with opportunities for professional growth and ongoing learning.
Competitive compensation and rewards programs recognizing performance.
People-first environment with work-life balance, employee resource groups, and social events.
Base salary range is $140,000 to $220,000, reflecting knowledge, skills, and experience.

Why Join FICO

Credit Scoring — FICO scores are used by 90 of the top 100 US lenders.
Fraud Detection and Security — FICO fraud systems protect 4 billion payment cards globally.
Lending — FICO Score underpins approvals for a large share of US mortgages.