Design and deliver AI-enabled technology solutions for AbbVie's Corporate Business & Strategy Office, partnering with external innovation stakeholders and M&A teams to translate business needs into technical requirements and secure, maintainable solutions.
Responsibilities
Partner with CBSO External Innovation stakeholders and BTS M&A teams to identify business problems and prioritize high-impact opportunities
Build and demonstrate AI prototypes using approved code, AI services, automation tools, APIs, and enterprise data
Apply AbbVie standards for secure software delivery, responsible AI, privacy, data protection, change management, and the software development lifecycle
Build trusted relationships across business and technology teams, influence decisions, and communicate recommendations, risks, and progress to technical and executive audiences
Define and manage business, functional, and technical requirements
Requirements
Bachelor’s Degree in Information Systems, Computer Science, Life Sciences, or a related discipline
Master’s Degree in Information Systems, Computer Science, Life Sciences, or a related discipline
Integrate and optimize ML workloads for Apple’s ANE and GPU silicon into their macOS and iOS applications, analyzing developer products and recommending optimizations.
Responsibilities
Analyze developers products and report on their use of the ML APIs
Recommend optimizations, algorithms, and techniques to improve applications
Serve as a key source for ML application development, including engineering, documentation, training, and relationship management
As a Machine Learning Engineering Intern, you’ll work with experienced engineers, data scientists, and game or product partners to explore how data and machine learning can support Riot’s games, from shaping engaging player experiences to safeguarding fair and competitive play.
Compensation
The hourly rate for this internship is USD $80.77
Responsibilities
Collaborate with machine learning engineers, data scientists, software engineers, and product partners on player- or developer-focused projects
Prepare, clean, and explore datasets for machine learning and data-powered applications
Implement feature engineering, modeling, and evaluation approaches under the guidance of experienced team members
Build prototypes, analyses, visualizations, or internal tools that help teams understand player experiences, product systems, or adversarial behavior
Apply testing, documentation, and reproducibility practices to code and experiments
Design, implement, validate, and productionize algorithms that transform complex scientific and operational data into actionable insights, focusing on analytical and algorithmic layers consuming curated data.
Responsibilities
Design, develop, and maintain algorithms for processing, analyzing, and modeling scientific and operational data.
Develop robust Python-based computational workflows using appropriate scientific computing, data analysis, and machine learning libraries.
Analyze complex datasets to identify patterns, derive meaningful features, and develop predictive or diagnostic insights.
Develop and optimize algorithms for areas such as signal processing, image analysis, anomaly detection, predictive analytics, and other data-driven applications.
Evaluate algorithm performance through systematic testing, validation, benchmarking, and comparison against defined performance criteria.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, Electronics, Engineering, or a related technical discipline
Software engineer to join the core team behind vllm-sr, owning the whole stack: the router, the serving engine, the decision models and the open-source community, focusing on training and serving on AMD Instinct GPUs and making ROCm a first-class platform for intelligent routing.
Responsibilities
Build the routing intelligence of vllm-sr, from decision models that pick the right model for every request to semantic, policy-based and workload-aware routing, semantic caching, and routing for safety, privacy, tools and agents.
Make vllm-sr simple to deploy and operate in production, with first-class integrations for vLLM, Kubernetes, Envoy, Gateway API and AI gateways.
Build vllm-sr into a universal serving engine for decision models that exposes the System One API and runs efficiently on everything from AMD Instinct GPUs to CPUs.
Optimize decision model inference across batching, memory, latency and throughput, down to GPU kernels in HIP or Triton on ROCm where it matters.
Train foundation decision models across sizes and keep pushing their capabilities to the frontier, owning data, training, post-training and evaluation.
Design, develop, and maintain AI-powered applications that deliver real value across the business, with a focus on large language models (LLMs).
Responsibilities
Support, run, and iterate existing AI applications
Design, develop, deploy, and maintain new AI applications which can be scaled across multiple business use cases, driving operational and commercial outcomes
Trial and test solutions with end users to iterate and optimise them
Research and analyse data sets using a variety of statistical and machine learning techniques
Track and understand the evolving AI landscape
Requirements
Undergraduate degree in a quantitative discipline, such as Mathematics or Computer Science
Build and deploy machine learning models that automate real-time physical security decisions across all AWS regions
Locations (4)
Arlington, Virginia, United States
New York, New York, United States
Annapolis Junction, Maryland, United States
Herndon, Virginia, United States
Compensation
USA, MD, Annapolis Junction - 143,700.00 - 194,400.00 USD annually
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
USA, VA, Herndon - 143,700.00 - 194,400.00 USD annually
Responsibilities
Build and deploy machine learning models that automate real-time physical security decisions across all AWS regions
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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