Responsibilities:

• Maintain the infrastructure and prepare for scaling at launch
• Help with maintaining our current build infrastructure – we currently use GitHub Actions with several in-house GitHub runners to build Unreal Games across multiple platforms – Android, iOS, Windows, and Linux
• Improve the observability of our current infrastructure
• Train the Unreal Engineering team in maintaining the platform and debugging issues, as well as building on observability themselves

Requirements & Skills:

• Must know programming fundamentals in any language (Go, Python, C++, Rust, etc.)
• Must know cloud technologies such as Kubernetes, GCP/AWS, serverless, etc.
• Ideally, designed & implemented programmable APIs (interfaces, REST, RPCs, etc.)
• Ideally, experience supporting an application in production

The post Dev Ops Engineer, Netspeak Games appeared first on AI Jobs Latest.

Responsibilities:

• Investigate novel techniques combining class-leading heuristics with optimization
• Translate real-world Supply Chain Management use cases into a mathematical model
• Lead the design and implementation of the mathematical model
• Define test strategies and develop comprehensive test plans
• Write unit testing, integration testing, and debugging to ensure robust and error-free software
• Design, develop, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools
• Collaborate closely with your agile team members and other stakeholders
• Shape the future direction of Kinaxis as we move into new markets

Requirements & Skills:

• MSc or PhD in Operations Research, Industrial Engineering, Computer Science (or related)
• 3+ years of software development experience, and a track record of delivering commercial software
• Working knowledge of C++, including object-oriented design and design patterns, unit testing
• A love of data structures and algorithms, and the desire to apply them in the real world
• Experience in creating mathematical models of real-world optimization problems.
• Experience in commercial solvers (Gurobi, Xpress, CPLEX)
• Ability to design, develop, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools.
• Nice to have knowledge in machine learning models and algorithms
• Nice to have knowledge of Supply Chain Management (Demand Planning, MRP, S&OP, Capacity Planning)

The post Software Developer, Kinaxis appeared first on AI Jobs Latest.

Responsibilities:

• Be part of a team working on building out scalable infrastructure to train, evaluate, deploy, perform inference, and monitor our ML models
• Build, deploy, and maintain generative AI services & applications
• Create data systems to collect, clean, label, and store data used for model features
• Deploy and manage various applications in our Kubernetes clusters
• Collaborate with Machine Learning engineers to build & support state-of-the-art experimentation platforms, training framework,s and associated tools
• Work with stakeholders on requirements and solutions for ML infrastructure
• And of course, you will be coding every day!

Requirements & Skills:

• 5+ years of industry experience building production-level ML platforms and infrastructure, including experience building ML systems/pipelines from the ground up.
• Ability to write high-quality code in Python, Java, or Scala
• Experience building production-ready RESTful APIs, as well as having scaled platforms in production to a large number of users.
• A desire to own large parts of an ML Platform, with a strong understanding of ML models & principles.
• Experience working with containers and deploying applications to Kubernetes
• Experience with LLMs and building infrastructure to support LLM applications
• Experience with relational and low-latency databases
• Experience with transforming data in both batch and streaming contexts
• A desire to learn new technologies quickly, and a proven track record of making quality vs. deadline tradeoffs in fast-paced environments.
• Ability to scope out a large project and manage it through project delivery
• Strong communication skills and ability to generate consensus and buy-in within the team
• Organizational skills and the ability to simplify complex problems and prioritize what matters most for the sake of the team and the business
• Experience working with highly sensitive data in a healthcare environment
• Experience working with ML frameworks such as PyTorch, SciKit-learn, XGboost
• Experience working with ML Ops tools such as MLFlow, Kubeflow, AWS Sagemaker
• Experience building solutions on cloud infrastructure, particularly AWS

The post Sr. AI/ML Infrastructure Engineer, Lyra Health appeared first on AI Jobs Latest.

Responsibilities:

• Work closely with other software engineers to expand our set of libraries and make our processes ever more efficient.
• Learn about the latest and greatest technologies, testing the promising ones to make sure we don’t miss out on game-changing opportunities to boost our productivity and the enjoyment of our work.
• Constantly improve the quality of our products, tools, or infrastructures by fixing bugs and refactoring the code base where necessary.

Requirements & Skills:

• Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
• Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
• Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You’re always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
• Proficiency in English. You read, write, and speak proficiently in English.

The post Software Engineer, Bending Spoons appeared first on AI Jobs Latest.

Responsibilities:

• You will help us implement, test, characterize, and refine novel elements of a machine-learning architecture designed from the ground up to optimize the properties of small-molecule drugs; continually improve the robustness of our existing code base; and apply our pipeline to new drug targets.

Requirements & Skills:

• Ph.D. in machine learning or related discipline.
• Extensive publication record in top conferences (NeurIPS, ICML, ICLR, CVPR, etc.).
• Five or more years of experience developing robust code on larger projects, including code review, refactoring, unit testing, version control, etc.
• Expertise in Python and PyTorch.
• Intellectual curiosity and drive to excel.

The post Senior Machine Learning Scientist, Variational AI Inc. appeared first on AI Jobs Latest.

Responsibilities:

Strategic Leadership in AI Governance

• Develop and implement an AI governance framework that aligns with company AI Principles, legal requirements, and industry best practices that support our customer’s trust in our AI products.
• Collaborate with leadership to set long-term AI strategy, including risk management, compliance, and ethical AI policies.
• Serve as the primary point of contact for AI governance, advising C-level executives on policy and regulatory changes impacting AI.
• Monitor emerging regulatory and ethical standards in AI, adjusting governance policies proactively.

Policy and Compliance

• Create and enforce policies for responsible AI development, deployment, and monitoring, ensuring they align with global regulatory standards (e.g., GDPR, ISO42001).
• Ensure adherence to internal and external guidelines, including fairness, transparency, accountability, and privacy in AI systems.
• Collaborate with the partner teams to manage and document AI-related risks and incidents.
• Develop audit mechanisms and conduct regular compliance checks to validate adherence to AI governance standards.

Cross-Functional Collaboration and Education

• Partner with data science, engineering, and product teams to implement AI principles across the AI lifecycle.

Risk Management and Ethical Standards

• Lead the identification and mitigation of risks in AI applications, including bias, security, and privacy risks.
• Develop metrics and KPIs to assess AI systems’ compliance with ethical and governance standards.
• Manage the creation of reports on AI compliance, performance, and risk, providing actionable insights to leadership.

Requirements & Skills:

• 8+ years of experience building or maintaining risk programs
• Familiarity with AI governance-related concepts and frameworks, such as NIST AI RMF or ISO 42001
• Familiarity with a broad range of technical concepts relevant to cloud computing environments: logical access, agile development process, security architecture, information security, network security, and privacy
• Experienced in risk assessment, familiar with various risk assessment frameworks and concepts
• Experience managing and reducing AI, security, privacy, or reliability risks
• Subject matter knowledge in FAIR-based risk methodologies
• Strong project management and organizational skills
• Great people skills and ability to work well in a fast-paced team environment with a wide range of technical and non-technical teams
• Excellent writing, communication, organizational skills, and strong attention to detail
• Ability to confidently convey nuanced information to senior leaders

The post Senior AI Governance Program Manager, Dropbox appeared first on AI Jobs Latest.