דרושים » תוכנה » NLP Team Lead

About the Innovation Team
At our company, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether its real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If youre excited about shaping the future of media tech, youll fit right in. Were growing fast and looking for a Processing Team Lead to own and scale our core media processing infrastructure.
On your day to day
As the Processing Team Lead at our company, you will lead a team of backend and video engineers responsible for the companys media processing pipeline. Youll own the architecture and scalability of both real-time and offline processing systems, ensuring top performance and cost efficiency. Working closely with our AI, Product, and Infrastructure teams. Youll drive innovation in how our company processes and optimizes large-scale video and audio data using distributed systems and cloud-native technologies, while establishing best practices for monitoring, observability, and quality control across the entire processing stack. Beyond the technical leadership, youll mentor and grow engineers, fostering technical excellence and a culture of ownership, creativity, and impact.

Shape the Future of Cybersecurity with Us Are you driven by curiosity, innovation, and the desire to turn cutting-edge research into real-world impact? Join Cynet, an established but rapidly growing cybersecurity startup, where you'll be part of a small, elite team building groundbreaking AI-powered security products from the ground up. Work alongside top minds in security research, R&D, product, and data engineering to drive innovation and create real value for global customers. This is your chance to contribute to a foundational mission - developing AI technology that proactively protects against todays most sophisticated cyber threats.

What will you do:
As a data Scientist at Cynet, youll play a central role in shaping our future technology. Youll: Own AI product creation end-to-end - from the initial concept through building prototypes to full-scale production. Drive innovation by developing and integrating ML and Generative AI solutions into Cynets core cybersecurity products: Endpoint, XDR, Network Detection, and Posture Management. Analyze massive volumes of security data to uncover hidden patterns, threats, and insights. Develop and fine-tune models with state-of-the-art optimization strategies and performance metrics. Contribute to and expand our AI infrastructure, including data pipelines, evaluation tools, and deployment frameworks. Conduct rigorous experimentation, explain and monitor the real-world performance of your models. Write production-ready code that makes it into our deployed AI systems.

Were on a mission to revolutionize how marketers, writers, and innovators create their marketing content. With tools like ChatGPT?? taking the world by storm, its clear that the spotlight is now shining on the Generative AI space. However, its ultimate hurdle is now a self-compounding problem: with infinite options for messaging now available to all marketers how do we know what will actually work? Your words matter, and Anyword was built to ensure that they resonate. Since 2021, weve been building a platform to help both the worlds largest brands and its next rising stars actually move, inspire, and drive their audiences forward. In reality, weve removed the uncertainty of writing performance copy, and are the first to bring copy intelligence into play. Weve combined our own language models, predictive analytics, custom AI, and branding-specific tools to help brands rise above the noise in ways they couldnt before. Weve built the brain behind all marketing messaging, no matter where it lives and how you create it (with AI or not). And now were looking to you to help change the world with us!
About the role Anyword is seeking a senior NLP data Scientist to lead our marketing language predictive modeling. Youll explore complex datasets, build and fine-tune advanced NLP /LLM models, and partner closely with engineering and product to integrate your work into Anywords AI content platform.
Responsibilities:
* Define and own the technical strategy and roadmap for Anywords marketing language predictive modeling.
* Analyze, process, and derive insights from our ever-growing data resources.
* Solve challenging prediction problems by applying the latest ML/ NLP techniques to build and fine-tune highly performant LLMs.
* Collaborate with engineers and product managers to ship models end-to-end, from research to production.
* Monitor and iterate on models using offline and online metrics.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

As a Machine Learning Engineer, youll work on cutting-edge
code-focused LLMs and AI agent systems
that power our companys next-generation developer platform. Youll be at the center of research, model training, and productionization of intelligent systems that understand software deeply, collaborate with developers, and help automate engineering workflows end-to-end. Your work will immediately impact millions of engineers worldwide.
Responsibilities:
Push LLM Innovation: Research, design, and fine-tune domain-specific LLMs for code generation, refactoring, debugging, and multi-turn reasoning.
Agent-Oriented Development: Build multi-agent coding systems that integrate retrieval-augmented generation (RAG), code execution, testing, and tool use to create autonomous, context-aware coding workflows.
Production-Grade AI: Own the training-to-inference pipeline for large code modelsoptimize inference with quantization, distillation, and caching techniques.
Rapid Experimentation: Prototype and validate ideas quickly; leverage reinforcement learning, human feedback, and synthetic data generation to push accuracy and reasoning.
Cross-Functional Collaboration: Partner with product, engineering, and design teams to ship AI-powered features that help developers focus on high-impact work.
Scale the Platform: Contribute to distributed training, scalable serving systems, and GPU/TPU-efficient architectures for ultra-low-latency developer tools.

As the Director of Data Platform, you will lead one of most critical and strategic engineering groups, responsible for building, scaling, and evolving the core data Ingestion, processing and serving infrastructure that powers our entire platform.

You will be accountable for the vision, strategy, execution, and delivery of the Data Platform group, empowering R&D teams across Orca with the data capabilities they need to drive innovation and deliver customer value. Youll lead and grow multiple teams of engineers and managers, drive architectural and organizational excellence, and ensure our systems handle billions of cloud signals daily with performance, security, and reliability in mind.

Were undergoing a major architectural transformation, evolving our pipelines toward real time processing, better observability, and horizontal scalability. This is an opportunity to lead foundational work that will shape platform for years to come!

Our Stack: Python, Go, Rust, SingleStore, Postgres, ElasticSearch, Redis, Kafka, AWS

On a typical day youll:
Define and drive the long term vision and roadmap for the Data Platform group.
Lead, mentor, and scale a high-performing team of engineers and engineering managers.
Collaborate with product and platform leadership to ensure alignment with business and technical goals.
Make high-impact architectural and design decisions to ensure scalability, reliability, and performance.
Set and maintain engineering excellence standards including clean code, CI/CD, testing, and monitoring.
Own delivery and execution of large-scale initiatives from planning through release.
Create a culture of innovation, accountability, and continuous improvement.
Act as a key technical leader and cross-functional collaborator across R&D and company leadership.
Stay informed of industry trends and guide the team in adopting cutting edge technologies where relevant.

We are seeking a highly motivated Senior Deep Learning Researcher to join our team! This is an outstanding opportunity to conduct impactful research and develop the next generation of large language model (LLM) inference algorithms. You will work on technologies that directly enhance NVIDIA's software, making the latest LLMs more efficient and accessible for users worldwide. By joining us, you will be part of a strategic effort to establish NVIDIA as the definitive platform for high-performance LLM inference. You will engage with skilled problem-solvers at NVIDIA and top organizations, crafting AI technology advancements.

What you'll be doing:
Research, invent, and implement groundbreaking algorithms for LLM inference to advance the state of the art in both low-latency and high-throughput scenarios.
Translate research into practical software solutions that directly impact NVIDIA's products and customers.
Collaborate with internal research, engineering, and product teams across the globe to drive the development of sophisticated inference technologies.
Analyze the performance of new algorithms on NVIDIAs latest hardware, identifying bottlenecks and opportunities for algorithmic optimizations.
Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications.

As a Senior MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
How youll make an impact:
As a Senior MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

Artlist is where the creative arts meet technology. If there’s one thing we all have in common, it’s a love of music and film, which is why we build innovative products to help global brands and individual creators make amazing videos. We provide creators with best-in-class Gen-AI tools and the best stock footage, music, sound effects, and templates available anywhere. We also revolutionized the industry with a radical new music licensing model that has since become the global standard. Artlist is now the go-to platform for over 26M users worldwide. They range from top-tier global brands like Google, Apple, Amazon, Microsoft, and Calvin Klein to social creators, video editors, and more. Our Products
* Artlist: an all-in-one platform for video creation, featuring AI tools for image, video, and voiceover generation, along with high-quality, curated royalty-free music, SFX, footage, templates, plugins, and more.
* Motion Array: the ultimate destination for creators, offering video templates, presets, plugins, music, SFX, stock footage, graphics, and stock photos — all crafted by the world’s leading motion designers. We’re looking for an R&D Team Lead to join our growing R&D department. As the Artlist Core Team Lead, you’ll lead a high-profile team working on one of Artlist’s most strategic products. You’ll guide a group of talented professionals, foster a culture of creativity and technical excellence, and play a pivotal role in driving groundbreaking solutions that shape the future of our platform. Wake up for this
* Join Artlist’s Frontend Development team — the group behind our user-facing products that power a global creative ecosystem used by millions.
* Lead a high-profile team working on one of Artlist’s most strategic and visible products.
* Build high-performance, visually engaging, and intuitive web experiences using modern technologies and scalable design systems.
* Drive the evolution of Artlist’s next-gen Gen-AI suite — including tools for voice cloning, text-to-image, image-to-image, text-to-video, and image-to-video generation.
* Collaborate closely with product, design, marketing, and backend teams to deliver impactful, creator-focused features.
* Provide leadership, mentorship, and technical direction to engineers.
* Influence architectural decisions, maintain code quality, and ensure scalability.
* Foster a culture of speed, quality, and innovation.
* Continuously improve team velocity, delivery predictability, and engineering excellence.

As a Staff MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
As a Staff MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.