Build and deploy AI agents for manufacturing procurement and supply chain operations, working directly with customers and leading technical deployments.
Compensation
Base salary: $175,000 to $255,000 annually. Visa sponsorship is not available.
Responsibilities
Build relationships with customer IT, supply chain, and procurement teams to discover and scope new workflows.
Develop and ship production code in enterprise customer environments, extending the platform in ways that can serve the broader customer base.
Lead technical deployments from discovery through go-live and take ownership of operational outcomes.
Travel to manufacturing facilities, including international travel, to work alongside operators and support deployments.
Share customer insights with platform engineers to improve deployment speed and reliability.
Lead preclinical imaging studies for radiopharmaceuticals in rodent models, integrating nuclear imaging with pharmacology to support discovery decisions.
Compensation
Annual base salary for this position ranges from 108,713.60 to 142,686.60.
Responsibilities
Design, conduct, and analyze imaging-based biodistribution and mechanistic studies of radiopharmaceuticals in rodent models
Perform reconstruction and quantification of multimodal imaging data
Drive development of imaging-based methods for dosimetry and PK/PD relationships
Integrate imaging results with ex vivo tissue biodistribution and efficacy studies
Build partnerships with cross-functional experts
Requirements
MSc or Ph.D. in Biochemistry, Biology, Immunology, Biomedical Engineering, Medical physics, Molecular/Cell Biology or related field
Design, build, and deliver ML models and components that solve real-world business problems, collaborate with Product and Data Science teams, and maintain production ML services.
Locations (3)
Cambridge, Massachusetts, United States
McLean, Virginia, United States
New York, New York, United States
Compensation
Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4
McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4
New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4
Responsibilities
Design, build, and/or deliver ML models and components that solve real-world business problems
Inform ML infrastructure decisions using understanding of ML modeling techniques
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Staff Software Engineer - Capital One Travel Tech - Full-stack
Lead full‑stack development of the Capital One Travel portal, owning technical design, architecture, and mentorship of junior staff.
Compensation
The expected annual salary range for this position is $173,000 - $197,400. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es).
Responsibilities
Work as part of a dynamic team throughout the Software Development Life Cycle
Act as a tech lead developer owning technical design and development of cross‑functional, multi‑platform, fault tolerant application systems
Utilize programming languages like JavaScript, React, HTML/CSS, Angular/TypeScript, Python, Java and/or Go, Open Source RDBMS and NoSQL databases, and a variety of AWS tools and services
Lead data engineering initiatives, design and build scalable cloud data solutions, mentor team members, and enforce data security standards.
Compensation
Richmond, VA: $179,400 - $204,700 for Data Engineer 4
Responsibilities
Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
Influence developers, data analysts and data scientists
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
Collaborate with product managers and software engineers to deliver robust cloud-first data solutions
Independently design, build and deliver world-class cloud data solutions and applications
Requirements
Bachelor's Degree in Computer Science or related quantitative field
Nice to have: 7+ years experience in application development with Python, SQL, Scala, or Java
Nice to have: 4+ years experience designing, deploying and operating data workloads in at least one public cloud environment
Nice to have: 4+ years experience building or supporting distributed data or compute workloads using EMR, Spark, Glue, or Databricks
Nice to have: 4+ years experience designing, implementing, and operating real-time or streaming data pipelines
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Locations (2)
Chicago, Illinois, United States
Riverwoods, Illinois, United States
Compensation
Chicago, IL: $179,400 - $204,700 for Full-stack Engineer 4
Riverwoods, IL: $179,400 - $204,700 for Full-stack Engineer 4
Responsibilities
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Champion DDM initiatives and help teams use data to guide business decisions.
Participate in ongoing reviews of pricing, assortment, and promotional strategies as part of business planning, and document Business Unit strategic decisions.
Contribute to the Business Unit’s annual DDM planning process.
Partner with Business Unit Marketing and Merchandising teams and Global Promotion, Assortment, and Pricing teams to turn insights into action, identify gaps, and recommend improvements to DDM tools and processes.
Develop reusable analytical tools, models, and approaches that provide actionable insights and support business goals.
Requirements
Bachelor’s degree or foreign equivalent in Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or a related field
Develop and maintain software and AI-powered components, mainly using Python and modern AI frameworks, and build AI-native solutions for cybersecurity.
Locations (2)
Madrid, Madrid, Spain
Barcelona, Catalonia, Spain
Compensation
Monthly study stipend of 850€
Responsibilities
Develop and maintain software and AI-powered components using Python and modern AI frameworks
Design scalable, maintainable and secure architectures for AI and cybersecurity solutions
Build and integrate LLM-based applications, AI agents and automation workflows
Work in an AI-native way to accelerate software development, testing, automation and cybersecurity tasks
Integrate AI solutions with cybersecurity platforms, APIs and data sources
Support and advance manufacturing automation systems, troubleshoot and optimize controls and automation processes, develop and maintain reliable systems, and contribute to continuous improvement of factory operations.
Compensation
Pay Range: $73,900 - $90,500 annually. The actual base pay offered will vary... In addition to base pay, this position is eligible for an annual discretionary bonus of 10%.
Responsibilities
Supports manufacturing in troubleshooting automation and controls issues
Develops, implements, and oversees predictive and preventive maintenance procedures
Participates on internal teams to facilitate development, maintenance and continuous improvement of factory automation
Influences and supports the design and implementation of factory automation equipment
Documents/writes maintenance SOPs to perform repair and diagnostic functions
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
Requirements
Bachelor's Degree in Computer Science or related quantitative field
BECARIO SOFTWARE ENGINEER AI SOCNewTelefónica · Madrid, Spain+1 more