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As a Senior Applied Data Scientist, you will drive the architectural and algorithmic strategy for our core evaluation engine. You will collaborate closely with our engineering and product teams, and take ownership of complex technical challenges, designing solutions that are contextually efficient, robust, and scalable. You will play a key role in defining our algorithmic roadmap, ensuring our logic is optimized to handle the complexities of modern LLM applications.

Come join the company building the security operating model for the age of AI. AI has changed how data is used - and security must change with it. our company's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, our company provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the worlds leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security.
Responsibilities:
As our customers include fortune 500 companies, we face the challenge of working with immense amounts of data - Petabytes over Petabytes. You will be responsible for improving the efficiency, scalability, and stability of various system components facing this extreme scale.
Working with an extensive range of cloud infrastructure tools (multi-cloud: AWS, Azure & GCP), both for our cloud-based infrastructure but mainly due to our comprehensive support of cloud technologies for our clients
Contribute best practices and architectural leadership to our backend applications and help pick the architecture, frameworks, and tooling for our company core technologies.
Helping with selecting, onboarding, and coaching junior members of the team
Close collaboration with technical (backend, QA & infrastructure) and non-technical (product, design) roles to understand and challenge end-user requirements and ultimately translate these into effective technical solutions
Our Stack: Node.js, Typescript, React, Nest.js.

We are looking for a Senior DevOps Engineer to join our fantastic team!
Responsibilities:
Develop and Architect our SaaS platform
Working with an extensive range of cloud infrastructure tools (multi-cloud: AWS, Azure & GCP), both for our cloud-based infrastructure but mainly due to our comprehensive support of cloud technologies for our clients
As our customers include Fortune 500 companies, we face the challenge of working with immense amounts of data - Petabytes over Petabytes. As a result, our scale of operation is immense and requires us to use highly scalable infrastructures for our system.
Monitor, troubleshoot, and resolve production-grade issues. Configure the system and application aspects.
Develop architectural POCs
Work on a microservices architecture
Automate everything, keeping it DRY
Assist and work closely with the team across R&D
Work on our next-generation cloud-native applications

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Machine Learning Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

Come join the company building the security operating model for the age of AI. AI has changed how data is used - and security must change with it. our company's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, our company' provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the worlds leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security.
Responsibilities:
Direct contribution to the company codebase as part of a product team.
Identifying, documenting, and communicating technical improvements within your area of responsibility in the team
Close collaboration with technical (backend, QA & infrastructure) and non-technical (product, design) roles to understand and challenge end-user requirements and ultimately translate these into practical technical
Participating in cross-team engineering initiatives as an individual contributor.

We are looking for an AI Test Architect joining E2E Verification group to profile Innovative large scale Distributed training on NVIDIA AI End-to-End solutions in a large scale supercomputing clusters. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated Computing and Deep Learning software and hardware platforms, with researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, Switch, HCA, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What youll be doing:

Profiling, benchmarking, and analyzing deep learning models to identify areas for optimization and improvement in terms of performance, efficiency, and accuracy, with a strong emphasis on networking aspects.

Collaborating closely with data scientists, researchers, development, automation teams to design and implement scalable training pipelines and frameworks that demonstrate large scale high -performance networking capabilities.

Staying up-to-date with the latest advancements in deep learning algorithms, architectures, NVIDIA GPU technologies, and high-performance networking solutions.

Optimizing deep learning models for performance, memory usage, and power efficiency while maximizing high-performance networking features on NVIDIA supercomputers.

Providing insights and recommendations based on the analysis of large-scale training results, specifically focusing on networking bottlenecks and optimizations, to improve model outcomes and achieve business objectives.

Collaborating with hardware engineers to guide the development and integration of efficient networking solutions for deep learning, including exploring network architecture optimizations and bringing to bear technologies such as RDMA or InfiniBand.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Product Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Machine Learning Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Develop reusable software components for interfacing with back-end platforms
Analyze and optimize code for quality, efficiency, and performance
Lead complex technical or product efforts and provide technical guidance to peers
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

Were looking for an exceptional Digital Adoption Solutions Engineer to help take internal digital adoption projects to the next level. As a Solutions Engineer, youll help bring our products to life by focusing on delivering high-quality technical implementations according to pre-defined business objectives and designing user experiences.
The Solutions Engineer will be an integral part of the DAP CoE and will be responsible for high-visibility internal projects, spanning all company departments and giving exposure to many different roles and functions within and beyond.
The Center of Excellence (CoE) leads internal cross-departmental digital adoption, operational excellence projects and continuous improvements through digital transformation, software implementation and process design, from initiation to implementation, promoting continuous improvements in mindset and culture.
Within this framework, the DAP function (Digital Adoption Platform) is specifically tasked with implementing our own software internally on SAP systems, to support Digital Transformation and Change Management in a way that helps drive our employees work more efficiently and effectively.

Are you ready to start an exciting career path in high-tech and become an expert on all products and features?

What will you actually be doing?
Collaborate globally on a daily basis with our internal Ops teams (Sales, Marketing, CSG, HR, Finance etc) to understand their business needs and provide based solutions to their problems.
Build DAP solutions addressing both Operational and strategic requirements as well as the talk track around KPIs and Value Realisation. You will take a business process and provide both a solution and suggestions for further improvements, making sure you help each team achieve their departmental Big Rocks.
Collaborate with Support, our Product and R&D teams to provide feedback on existing features, testing and providing feedback on new ones as well as maintain both our Production and Test environments to always be stakeholder ready.
Deliver DAP focused case studies, references, and showcase SAP and implementation relationships to show the value of solutions externally.
Participate in Community-led and Marketing-led webinars to show How does on SAP and support thought leadership on the subject.
Report on departmental DAP status for circulation to TechOps and ELT.
Continuously identify opportunities for improvement to refine our solutions and generate meaningful practices with attention to measurements and detail.
Maintain/Support existing business solutions and processes through environment changes or process changes.
Adapt in an ever-changing environment to generate a meaningful impact across multiple business units.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Infrastructure Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Develop reusable software components for interfacing with back-end platforms
Analyze and optimize code for quality, efficiency, and performance
Lead complex technical or product efforts and provide technical guidance to peers
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

We are seeking experienced full-stack Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team thats working to help people connect with each other around the globe. Join us!
Software Engineer - Infrastructure Responsibilities
Design core, backend software components
Code using primarily C/C++, Java, PHP and Hack
Interface with other teams to incorporate their innovations and vice versa
Conduct design and code reviews
Analyze and improve efficiency, scalability, and stability of various system resources
Establish self as an owner of a particular component, feature or system with expert end-to-end understanding
Successfully completes projects at large scope while maintaining a consistent high level of productivity.

Required Software Engineer, ML (Technical Leadership)
The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of our risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing our financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for our risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and our practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations
Identify and Initiate New Business Opportunities: - Collaborate with our FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work.

We are looking for a passionate Software Engineer to join our Simulation development team. Our team is growing, and we are looking for hardworking and experienced engineers to take part in building advanced networking simulation solutions. You will be part of a team developing next generation Switch simulation, works closely with other SW R&D teams and SW Architects.

What you will be doing:

Design and develop advanced features simulating our world class NICs and Switches.

Develop solutions using advanced virtualization technology.

Write clean, efficient and maintainable code.

Collaborate with team members, SW R&D, Architects, Chip Design and FW.

We are looking for a Senior SW Developer to join our Bluetooth Low Energy (BLE) software team. In this role, you will work on defining, developing and debugging the BLE stack for TIs wireless MCU products targeted at Automotive and Industrial markets. You'll implement BLE features and examples for both the BLE host layer and the BLE Controller layer, ensure compliance with BT SIG specifications, optimize memory footprint and power consumption, collaborate with hardware/RF teams, and mentor junior members in the team. This position requires proven embedded software development experience and may involve international travel for customer support.

In your first year with TI, you will participate in the Career Accelerator Program (CAP), which provides professional and technical training and resources to accelerate your ramp into TI and set you up for long-term career success. Within this program, we also offer function-specific technical training and on-the-job learning opportunities that will encourage you to solve problems through a variety of hands-on, meaningful experiences from your very first day on the job.
We are looking for a Software Developer to join our Bluetooth Low Energy (BLE) software team. In this role, you will implement and debug BLE features and examples for TI's wireless MCU products targeted to Automotive and Industrial markets. You'll gain hands-on experience developing for both the BLE host layer and BLE Controller layer, learn BT SIG specifications and optimizing code for memory footprint and power consumption. This position offers an excellent opportunity to build expertise in RT embedded software development and may involve international travel for customer support.