We're looking for a Visual Generative AI Solutions Specialist to join our AI Lab — a cross-functional group driving innovation, experimentation, and advanced AI capabilities across Lightricks. We're looking for someone who lives in the visual generation space — diffusion models, video synthesis, and the creative pipelines that bring them to life in production.

This role sits at the intersection of applied AI, creative technology, and product. You’ll work hands-on with LTX-2 workflows and open-source generative models, prototype new capabilities, help bring AI solutions to market, and act as a domain expert supporting teams across the company — from Product and Design to Sales and Business Development.

Success in this role requires technical depth in generative AI, strong ownership, curiosity, and a passion for pushing creative AI forward.

What you will be doing

• Build Visual AI-driven creative workflows, PoCs, and production-ready pipelines with a strong focus on LTX-2 and open-source generative models
• Experiment with generative AI architectures and techniques to unlock new creative capabilities and solve high-end production challenges
• Partner with Business Development and major studios, providing technical demos and pipeline integration guidance
• Act as a trusted technical advisor for clients and internal teams on generative AI, animation, 3D, and creative computing
• Collaborate with Product, Research, Design, and Creative teams to turn innovation into impactful features
• Own the ideation and exploration of new creative and AI-driven capabilities - from concept and research to tangible prototypes and production impact

Your skills and experience

Must have

•       Hands-on experience with generative AI tools and frameworks, such as ComfyUI, Stable Diffusion, LTX, or similar open-source ecosystems
•       Strong understanding of generative AI systems - including model architectures, ControlNets, LoRAs, IP-Adapters, and creative AI pipelines
•       Scripting and coding skills (Python, workflow automation) to build, extend, and optimize AI pipelines
•       Independence in planning and executing experiments to solve open-ended, high-impact problems
•       High curiosity and ongoing engagement with the AI ecosystem - tools, models, community, research

Strong advantage

•       Experience in animation, VFX, post-production, game design, or creative marketing environments.
•       Understanding of production pipelines (offline/online, render farms, asset management).
•       Proficiency in at least one major creative tool (After Effects, Nuke, Blender, Cinema 4D, etc.).
•       A strong portfolio showcasing AI-driven creative workflows and visual outcomes. 

If you’re excited about pushing the boundaries of generative AI in real-world creative production, we’d love to talk.

Who we are

Lightricks is an AI-first company creating next-generation content creation technology for businesses, enterprises, and studios with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners.

The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world’s most recognized creative brands, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render, to bring the future of expression to all.

We got you covered

• We empower employees with cutting-edge tools and learning opportunities to grow and succeed through workshops, access and training on platforms, subscriptions, and clear guidelines for responsible AI use.
• We run daily door-to-door shuttles, offering Car-to-go subscriptions from several locations in the central district, plus free parking and train-station pickups.
• We’re proud to have 2 chef-led restaurants on site by the legendary Machneyuda Group (yes, that Machneyuda!), plus a bakery nestled in the heart of our office, filled daily with the scent of fresh pastries.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

What Do We Do?

Triple Whale is the complete intelligence platform for ecommerce, helping brands stop guessing and start knowing what’s actually driving growth, what’s wasting money, and what to do next — with total confidence. By pulling all of a company’s data into one place, delivering measurement tools teams can actually trust, and applying the smartest AI in the industry, Triple Whale turns fragmented data into clear insights and actionable recommendations. That intelligence can then be put to work through AI agents and automations that generate creative assets, take action across marketing channels, and make every tool in their stack smarter and more effective.

More than 60,000 ecommerce brands including Pressed Juicery, OUAI, and True Classic trust Triple Whale to grow faster and drive revenue with fewer resources by uncovering opportunities and acting on them at a scale that would be impossible manually.

Why Triple Whale Needs You:

We’ve reached a strong product–market fit and are scaling rapidly — which means marketing measurement, experimentation, and optimization are becoming more complex and more critical than ever. As privacy changes, fragmented signals, and multi‑channel marketing continue to evolve, brands need sophisticated, production‑grade marketing science they can actually trust.

We’re looking for an Applied Data Scientist to help us build and scale the core marketing science products that power our platform. This role sits at the intersection of data science and engineering: owning statistical models end to end, deploying them into production, and turning advanced analytics into reliable, customer‑facing capabilities. Your work will directly influence how thousands of brands measure ROI and allocate millions in marketing spend.

What You’ll Do:

• Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems)
• Develop and deploy statistical and machine learning models to production
• Create scalable data pipelines and APIs that serve real-time analytics
• Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions.
• Own features end to end from statistical design and validation through deployment, monitoring, and iteration.

What You’ll Bring:

• 4–7 years of experience in applied data science
• Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
• Strong Python skills (pandas, scikit-learn, statistical libraries)
• Experience deploying models to production (not just notebooks)
• Solid statistics and machine learning fundamentals
• SQL and database experience
• Experience in building APIs or backend services
• Bachelor's or Master's in a quantitative field (Statistics, CS, Math, Machine Learning/Data Science)
• Strong English communication skills with technical and non-technical audiences
• Self-starter comfortable with ambiguity and autonomy

Bonus Points If You Bring:

• Marketing analytics background (attribution, experimentation, measurement)
• Bayesian statistics or causal inference experience
• Cloud platform knowledge (GCP, AWS, or Azure)
• Time series analysis and forecasting

Why You’ll Love This Role:

This role offers true end‑to‑end ownership from statistical design to production deployment and real customer impact. It’s not pure modeling and not pure engineering, but a blend of both, focused on solving real marketing problems at scale. You’ll work on high‑impact systems that directly shape how businesses understand performance and invest their budgets, all within a fast‑moving, product‑driven environment where your work ships quickly and matters immediately.

Our Values

• We Are Customer Obsessed: From our mission to every detailed project, everything we do is designed to create a positive impact for our customers.
• We Move (Very!) Quickly: The speed at which we work, iterate, and deliver value is our most competitive advantage. 
• We Are Trustworthy: Candor, directness, and honest communication helps us learn, grow and improve so we can win together. 
• We Are Curious: We extend beyond our comfort zone and ask questions that guide us towards new, creative, and bold paths.
• We Act Like A Mensch: We act with honor, integrity and empathy, and have deep respect for our customers and each other.

Join Us in Making Waves

If you’re looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We’re on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment.

Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Referred?  Got here thanks to a friend? Splash some gratitude their way!  They'll need to submit your application through our referral system to make it official.

Who we are

Lightricks is an AI-first company creating next-generation content-creation technology for businesses, enterprises, and studios, with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration.

The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world’s most recognized creative brands, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render, to bring the future of expression to all.

The role 

Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-2 Core team.

At Lightricks, we’ve been at the forefront of innovation in text-to-image and text-to-audio+video generation, with LTX-2 driving our flagship product, LTX Studio, and gaining significant traction in the research and open-source communities, including integrations with platforms like ComfyUI and Diffusers.

This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.

What you will be doing

• Pre-train and fine-tune video, audio, and image generative models to pursue state-of-the-art results.
• Publish papers and open source models to benefit the research community and advance the field.
• Design and implement machine learning models for text-to-audio and text-to-video generation.
• Collaborate with data engineers to curate and preprocess text and video data.
• Optimize models for high performance, ensuring efficient training and inference.
• Build new controls and capabilities into generative text-to-audio and text-to-video models.
• Stay updated with the latest developments in Generative AI, particularly in the fields of image, video, and audio.
• Work closely with product teams to integrate AI models into applications and services.
• Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.

Your skills and experience

• Track record of coming up with new ideas or improving upon existing ideas in generative AI, demonstrated by accomplishments such as first-author publications or projects.
• Excellence in engineering as well as research with strong programming skills in Python, and deep familiarity with machine learning frameworks.
• Experience in training large diffusion transformer models from scratch.
• Proven track record of handling large-scale datasets to train neural networks effectively.
• PhD or equivalent experience in the field of generative AI - a plus.

We got you covered

• We run daily door-to-door shuttles, offering Car-to-go subscriptions from several locations in central Israel, plus free parking and train-station pickups.
• We’re proud to have 2 chef-led restaurants on site by the legendary Machneyuda Group (yes, that Machneyuda!), plus a bakery nestled in the heart of our office, filled daily with the scent of fresh pastries.
• We empower employees with cutting-edge tools and learning opportunities to grow and succeed through workshops, access and training on platforms, subscriptions, and clear guidelines for responsible AI use.
•  

Who we are

Lightricks is an AI-first company creating next-generation content creation technology for businesses, enterprises, and studios with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration.

The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world’s most recognized creative brands, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render to bring the future of expression to all.

About the Role

As a Large Scale Training Engineer, you will play a key role in enhancing the training throughput of our internal framework and enabling researchers to pioneer new model concepts. This role demands excellent engineering skills for designing, implementing, and optimizing cutting-edge AI models, alongside writing robust machine learning code and understanding supercomputer performance deeply. Your expertise in performance optimization, understanding distributed systems, and bug elimination will be crucial, as our framework supports extensive computations across numerous virtual machines.

This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.

Key Responsibilities

• Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
• Develop high-performance TPU/GPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
• Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
• Collaboratively develop model architectures with researchers that facilitate efficient training and inference.
• Design, maintain, and evolve a high-quality, shared codebase that emphasizes correctness, readability, extensibility, testing, and long-term maintainability, while balancing performance requirements.

Your skills and experience

• Industry experience with small to large-scale ML experiments and multi-modal ML pipelines.
• Strong software engineering skills, proficient in Python, and experienced with modern C++.
• Deep understanding of GPU, CPU, TPU, or other AI accelerator architectures.
• Enjoy diving deep into system implementations to improve performance without compromising code quality and maintainability.
• Passion for driving ML large-scale training workloads efficiently and optimizing compute kernels.

* You are encouraged to apply if you meet 3 out of the 5 core qualifications above and are motivated to grow in the remaining areas.

Nice to have

• • Background in JAX/Pallas, Triton, CUDA, OpenCL, or similar technologies.
  • Familiarity with Kubernetes-based environments for running and scaling large-scale workloads.

Why Join Us

We’re here to push the boundaries of what’s possible with AI and video - not for the buzz, but for the craft, the challenge, and the chance to make something genuinely new.
We believe in an environment where people are encouraged to think, create, and explore. Real impact happens when people are empowered to experiment, evolve, and elevate together. At Lightricks, every breakthrough starts with great people and a collaborative mindset. If you're looking for a place that combines deep tech, creative energy, and zero buzzword culture, you might be in the right place.

We got you covered: 

• We run daily door-to-door shuttles, offering Car-to-go subscriptions for several locations in central Israel, plus free parking and train-station pickups.
• We’re proud to have 2 chef-led restaurants on site by the legendary Machneyuda Group (yes, that Machneyuda!), plus a bakery nestled in the heart of our office, filled daily with the scent of fresh pastries.
• We empower employees with cutting-edge tools and learning opportunities to grow and succeed through workshops, access and training on platforms, subscriptions, and clear guidelines for responsible AI use.

Lightricks is an AI-first company creating next-generation content creation technology for businesses, enterprises, and studios with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration.

The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world’s most recognized creative brands, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render, to bring the future of expression to all.

Why Join Us

We’re here to push the boundaries of what’s possible with AI and video - not for the buzz, but for the craft, the challenge, and the chance to make something genuinely new.

We believe in an environment where people are encouraged to think, create and explore. Real impact happens when people are empowered to experiment, evolve, and elevate together.

At Lightricks, every breakthrough starts with great people and a collaborative mindset. If you're looking for a place that combines deep tech, creative energy, and zero buzzword culture, you might be in the right place.

What you will be doing

 As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of Lightricks’ machine learning inference systems. You’ll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. You’ll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering Lightricks' next-generation AI products.
This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities

• Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
• Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
• Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
• Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
• Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
• Investigate performance bottlenecks at all levels of the stack—from Python to kernel-level execution
• Navigate and enhance a large, complex, production-grade codebase
• Drive innovation in low-level system design to support future ML workloads

Your Skills and Experience

• 5+ years of experience in high-performance software engineering
• Advanced proficiency in CUDA, C/C++, and Python, especially in production environments
• Deep understanding of GPU architecture, memory hierarchies, and optimization techniques
• Proven track record of optimizing compute-intensive systems
• Strong system architecture fundamentals, especially around performance, concurrency, and parallelism
• Ability to independently lead deep technical investigations and deliver clean, maintainable solutions
• Collaborative and team-oriented mindset, with experience working across functional teams

Preferred Requirements

• Experience with low-level profiling and debugging tools (e.g., Nsight, perf, gdb, VTune)
• Familiarity with machine learning frameworks (e.g., PyTorch, TensorRT, ONNX Runtime)
• Contributions to performance-critical open-source or ML infrastructure projects
• Experience with cloud infrastructure and GPU scheduling at scale

Who we are

Lightricks is an AI-first company with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through api integration.

Our flagship products include Facetune and LTX Studio, used by hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution to bring the future of expression to all.

What you will be doing

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of Lightricks’ machine learning inference systems. You’ll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. You’ll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering Lightricks' next-generation AI products.
This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities

• Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
• Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
• Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
• Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
• Contribute to ComfyUI and internal infrastructure to improve usability and performance of model execution flows
• Investigate performance bottlenecks at all levels of the stack—from Python to kernel-level execution
• Navigate and enhance a large, complex, production-grade codebase
• Drive innovation in low-level system design to support future ML workloads

Your Skills and Experience

• 5+ years of experience in high-performance software engineering
• Advanced proficiency in CUDA, C/C++, and Python, especially in production environments
• Deep understanding of GPU architecture, memory hierarchies, and optimization techniques
• Proven track record of optimizing compute-intensive systems
• Strong system architecture fundamentals, especially around performance, concurrency, and parallelism
• Ability to independently lead deep technical investigations and deliver clean, maintainable solutions
• Collaborative and team-oriented mindset, with experience working across functional teams

Preferred Requirements

• Experience with low-level profiling and debugging tools (e.g., Nsight, perf, gdb, VTune)
• Familiarity with machine learning frameworks (e.g., PyTorch, TensorRT, ONNX Runtime)
• Contributions to performance-critical open-source or ML infrastructure projects
• Experience with cloud infrastructure and GPU scheduling at scale

Why Join Us

We’re here to push the boundaries of what’s possible with AI and video - not for the buzz, but for the craft, the challenge, and the chance to make something genuinely new.
We believe in an environment where people are encouraged to think, create, and explore. Real impact happens when people are empowered to experiment, evolve, and elevate together. At Lightricks, every breakthrough starts with great people and a collaborative mindset. If you're looking for a place that combines deep tech, creative energy, and zero buzzword culture, you might be in the right place.

We got you covered: 

• We run daily door-to-door shuttles, offering Car-to-go subscriptions for several locations in central Israel, plus free parking and train-station pickups.
• We’re proud to have 2 chef-led restaurants on site by the legendary Machneyuda Group (yes, that Machneyuda!), plus a bakery nestled in the heart of our office, filled daily with the scent of fresh pastries.
• We empower employees with cutting-edge tools and learning opportunities to grow and succeed through workshops, access and training on platforms, subscriptions, and clear guidelines for responsible AI use.