Full Stack AI/ML Developer - Digital Products (Remote)
RTX Corporation1 day ago
Remote, United StatesStaff+
Base Salary
$157k - $299k/yr
Responsibilities
- Design, build, and manage digital products from concept through launch and adoption with cross-functional teams.
- Develop front-end architectures and responsive user interfaces.
- Use Palantir Foundry for data integration, ontology management, pipeline development, operational workflows, and application deployment.
- Design backend services in C#, Java, and Python and build scalable APIs, microservices, and integration frameworks.
- Integrate AI/ML models into applications through inference pipelines, intelligent features, and model-driven user experiences.
- Build data and application pipelines supporting AI/ML functionality and model deployment.
- Collaborate on feature engineering, model testing, validation, and operationalization.
- Apply DevOps practices to automated testing, cloud deployment, and containerized workloads.
- Contribute to product vision, roadmaps, backlog prioritization, sprint definition, stakeholder communication, and product storytelling.
- Support UI/UX standards and ensure solutions meet technical, customer, and business needs.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field with 12+ years of applicable experience, or an advanced degree with 10+ years of applicable experience.
- 10+ years of experience in data engineering, data architecture, analytics, AI/ML, or related technical domains.
- 5+ years architecting cloud-native data platforms on Azure, AWS, or GCP.
- Deep experience with Databricks, Lakehouse architectures, and modern ELT/ETL tooling.
- Strong knowledge of distributed systems, real-time data streaming, data governance, and API/integration architectures.
- Hands-on experience with Palantir Foundry, including data pipeline transformations, ontology management, and application deployment.
- Demonstrated ability to design and implement enterprise-scale data architecture solutions.
- Familiarity with MLflow, PyTorch, TensorFlow, Azure ML, SageMaker, and Vertex.
- Preferred experience with Java, Spring Boot, microservices, REST APIs, CI/CD, production deployment, Docker, Kubernetes, Apache Kafka, and Kafka Streams.
- Preferred experience with AI/ML feature development, model integration, inference APIs, application-level ML workflows, cloud migration, modernization, or digital transformation.
- Ability to explain technical concepts to technical and non-technical stakeholders and collaborate across teams.
- Strong problem-solving, communication, attention-to-detail, autonomy, and accountability skills.
Benefits
- Remote U.S.-based work arrangement, primarily performed offsite from home, with possible in-person interview steps and potential onsite presence if living near an RTX site.
- Benefits may include medical, dental, vision, life insurance, short- and long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance, Employee Scholar Program, parental leave, paid time off, and holidays.
- Potential eligibility for annual short-term and/or long-term incentive compensation programs.
- Employee referral award eligibility may apply subject to all program requirements.
Tech Stack
Apache KafkaAWSAzureC#DatabricksDockerGoogle Cloud PlatformJavaKubernetesMLflowPythonPyTorchSpring BootTensorFlow
Categories
About RTX Corporation
RTX Corporation builds aerospace and defense systems through its Collins Aerospace, Pratt & Whitney, and Raytheon businesses, serving commercial aviation, the U.S. government, and allied militaries. Its products range from aircraft engines and avionics to radars, missiles, and command-and-control software, sold via long-term OEM programs and defense contracts. Formed in 2020 by the Raytheon–United Technologies merger, RTX is headquartered in Arlington, Virginia and trades on the NYSE as RTX.