דרושים » AI » AI Research Engineer - Speech

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Innovation Team At Riverside, 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 it’s real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If you’re excited about shaping the future of media tech, you’ll fit right in.
On your day to day We are looking for a brilliant and highly motivated AI Engineer with a focus on NLP to join our team that is revolutionizing how audio and video content is transcribed, analyzed, understood, and edited. You will work closely with our product and other engineering teams, as your research and development will serve as the core of the most cutting-edge features of our mobile and web applications. You will conduct research, identify trends, and explore new methodologies to enhance the performance, efficiency, and scalability of our AI systems, while leveraging the latest tech to push the boundaries of innovation in product and bring the most value to our customers.

Fast-growing startup with a mission to use the power of Artificial Intelligence (AI) to get everyone access to higher quality healthcare at more affordable costs. Were looking for mission driven individuals to join our team and help us eliminate healthcare inequalities to build a better and healthier future.

Featured most recently in Forbes and Business Insider as a leading AI startup, a telehealth company that harnesses the power of technology to help provide the smartest digital healthcare platform to patients, hospital systems, and providers across the United States. Our AI powered application helps bring together the knowledge of thousands of doctors and anonymous medical data to provide the highest quality care to our patients. We offer a free symptom checker, 24/7 access to board-certified doctors, ability to refill prescriptions from your phone, and more. All within one application - no insurance or preauthorization required.
was founded in 2016, and has partnered with visionary and leading hospital systems and providers such as Cedars-Sinai, Mayo Clinic, and Elevance Health. Join us on our mission to help provide better healthcare for less.

About the role:
Our data science team is looking for a strong researcher with proficiency in modern AI methods (Computer Vision/ML/ Deep / Gen AI), a passion for innovation and ingenuity in defining and turning theoretical problems into products.
In this role, you will utilize our unique clinical data (tabular, visual and textual) to plan and build game-changing based solutions that will provide immediate medical benefit for millions of people around the world. You will have an end to end responsibility for your models - from ideation and research to full productization and monitoring.
Collaborating in research and production environments, you must have proven experience in researching and developing machine learning algorithms and good interpersonal skills. We highly appreciate independent thinkers and doers.

What you'll be doing:
Lead the research and development of new product features backed by state of the art clinical AI
Develop and advance our AI algorithms to drive our Ks clinics medical workflows - both on provider and patient side
Integrate AI algorithms with ML solutions tailored to a specific clinical need
Design and build scalable and efficient pipelines for data preprocessing, information extraction, and model training
Collaborate with our MLE and AI engineering teams to deploy scalable solutions
Stay up-to-date with the latest AI research and best practices, and integrate them into our products
Communicate technical concepts and solutions to non-technical stakeholder

About us We are Tailor Brands. We built a platform that builds businesses. From launching and managing to growing a business, Tailor Brands is the all-in-one solution that empowers any business owner. Our "Guidance Engine" assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard. Through our business-building platform, we’re turning the process of starting, managing, and growing a business into a better experience; we’re simplifying the business journey. At Tailor Brands, we believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business
We need you! We’re looking for a sharp, driven, and creative AI Prompt Writer / Engineer to join our growing team. In this role, you’ll help build, refine, and optimize AI voice agents that drive both sales and support interactions. You’ll be responsible for crafting high-quality prompts, testing AI performance through ongoing QA, and collaborating closely with internal domain experts to continuously improve outcomes. This is an entry-level opportunity for self-starters who thrive in fast-paced environments, take full ownership of their work, and have a track record of excellence in previous roles, projects, or academic experiences. Key Responsibilities:
* You are responsible for the ongoing operations and improvements of AI agents in the company.
* Write and refine prompts for AI agents across product sales and support use cases
* Monitor agent conversations and conduct QA to ensure quality, accuracy, and alignment with brand voice
* Identify and diagnose behavioral and technical patterns; suggest and implement prompt or logic improvements
* Collaborate with sales, support, and product leads to align agent performance with business goals
* Work with our partners to analyze and improve agent performance
* Develop and maintain prompt libraries and documentation for internal use
* Stay up to date on the latest in LLM capabilities, prompt engineering practices, and conversational AI trends

We're looking for a AI Research Scientist to join us in spreading our power and push the boundaries of AI in cybersecurity.
You'll be at the forefront of developing novel AI modelsfocusing transformers and LLMsthat advance how cybersecurity operates. Contribute to the wider AI and cyber communities through publications and conference presentations, establishing us as a thought leader at the intersection of AI and cybersecurity.
WHAT YOULL DO
Develop and research novel AI models, focusing on transformers and deep learning. Lead mid- to long-term projects aimed at advancing AI-driven features in the cybersecurity domain for our products.
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions accuracy, efficiency, and scalability.
Collaborate with engineering teams to design, build, and maintain production pipelines. Work closely with the Security Research and Product teams to define research goals.
Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR.

we are looking for a Head of AI to drive the strategic adoption and integration of AI across our B2B SaaS product and organization. In this role, you will set and execute the strategic AI agenda, ensuring alignment with business goals while identifying and prioritizing AI opportunities that drive innovation and efficiency.

This is a high-impact leadership role where you will take end-to-end ownership of AI strategy, guiding its development from initial research to full deployment. If you thrive on tackling real-world challenges, leading high-performing teams, and shaping the future of AI in B2B SaaS, wed love to hear from you.

Responsibilities

Strategic Leadership
Develop and execute the strategic vision for AI across the organization
Identify and help prioritize AI opportunities that align with business goals and drive innovation
With Product
With other stakeholders
Influence company-wide decisions and integrate AI into the product and the various business units.
Research and Development
Manage the AI research team and the AI development team
Drive teams execution and lead creative thinking to reach innovative solutions
Stay ahead of industry trends and emerging technologies to keep the organization at the forefront of AI advancements
Encourage and facilitate continuous learning and experimentation within the team
Management & Project Oversight
Oversee the planning, execution, and delivery of AI projects.
Ensure projects are completed on time, within budget, and meet the desired outcomes
Work closely with product and other stakeholders to gather requirements and build a plan
Manage the execution of the group, ensure productive relationship between the different disciplines within the team and with external stakeholders

Required AI team Backend Engineer
As a Backend Engineer on the AI team, youll have a key role in developing our AI features, working with generative AI models.
working closely with our Product team. You should be passionate about software engineering and building a product end-to-end and will be responsible for owning the dev cycle from the technical design, through coding and testing, to deployment and monitoring. We work in a true continuous delivery environment with fully automated QA processes on a microservices architecture, deploying to production dozens of times every day.

The Senior AI Software Engineer designs and develops the infrastructure required within the entire lifecycle of an AI algorithm. It is a critical role for the companys growth and velocity. You will work in a unique professional culture in which software engineering is a core part of making A.I. excellent.
Responsibilities:
Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging.
Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features.
Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems
Develop and maintain high-quality, scalable, and efficient code.
Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems)

As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
Responsibilities:
Lead the design, development, and implementation of accurate and robust AI algorithms for medical data with a hands-on approach.
Collaborate with cross-functional teams, including data scientists, software engineers, product managers and clinical data experts, to ensure AI considerations have a profound impact on R&D and Product decisions across the projects.
Design and conduct research and experimentation to improve algorithm performance and accuracy.
Stay at the forefront of the latest advancements in AI and machine learning, particularly in the medical domain, and drive their adoption within the team.
Oversee multiple projects, ensuring successful execution, timely delivery and alignment with product and business objectives.
Provide strategic direction and technical mentoring to elevate the capabilities of the AI team.

We are looking for an exceptional MLOps Team Lead to own, build, and scale the infrastructure and automation that powers state-of-the-art Large Language Models (LLMs) and AI systems.

This is a technical leadership role that blends hands-on engineering with strategic vision. You will define MLOps best practices, build high-performance ML infrastructure, and lead a world-class team working at the intersection of AI research and production-grade ML systems.

You will work closely with LLM Algorithm Researchers, ML Engineers, and Data Scientists to enable fast, scalable, and reliable ML workflows covering everything from distributed training to real-time inference optimization.

If you have deep technical expertise, thrive in high-scale AI environments, and want to lead the next generation of MLOps, we want to hear from you.

Role and Responsibilities
MLOps Infrastructure & Automation

Architect and maintain scalable, self-service ML pipelines, CI/CD workflows, and orchestration frameworks (Kubeflow, MLflow, Airflow).
Design high-scale distributed training environments, leveraging multi-GPU/TPU clusters and parallelization strategies.
Optimize ML workflows for speed, scalability, and cost efficiency across cloud (AWS/GCP) and on-prem environments.
Model Deployment & Real-Time Inference

Build ultra-low-latency, high-throughput inference architectures optimized for LLMs at scale.
Implement A/B testing, canary releases, and rollback mechanisms for model deployment.
Develop robust monitoring, logging, and alerting solutions for model performance, drift detection, and reliability.
Cloud & Compute Optimization

Lead the design and scaling of multi-cloud ML infrastructure using Kubernetes, Terraform, and ArgoCD.
Optimize GPU/TPU utilization, autoscaling, and resource allocation to maximize efficiency.
Build and manage feature stores, data pipelines, and large-scale storage solutions.
Leadership & Cross-Team Collaboration

Work closely with LLM researchers, ML engineers, and platform teams to align MLOps infrastructure with cutting-edge AI research and real-world deployment needs.
Define and enforce best practices for model governance, security, and compliance.

We are seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world.
We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. The mission of our CodeGen research is to advance the state of AI through open science innovations. We explore, design, and conduct fundamental research on Code Generation and Computational World Modeling at scale with usability, efficiency, and sustainability as design principles.
Research Engineer, CodeGen - FAIR Responsibilities
Perform research to advance the science and technology of intelligent machines. Specifically, Contribute research that leads to innovations in Code Generation, Code World Modeling, Agentic Code Generation, Math Reasoning, etc.
Perform research that enables learning the code data (images, video, text, code, audio, and other modalities).
Devise better data-driven models of AI code generation systems.
Work towards long-term research goals, while identifying immediate milestones.
Influence progress of relevant research communities by producing publications.
Open source high quality code and produce reproducible research.
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.