Cantina, founded by Sean Parker, is a new social platform with the most advanced AI character creator. Build, share, and interact with AI bots and your friends directly in the Cantina or across the internet. Cantina bots are lifelike, social creatures, capable of interacting wherever humans go on the internet. Recreate yourself using powerful AI, imagine someone new, or choose from thousands of existing characters. Bots are a new media type that offer a way for creators to share infinitely scalable and personalized content experiences combined with seamless group chat across voice, video, and text.

Catina

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Cantina Labs is a social AI company, developing advanced real-time models that push the boundaries of expression, personality, and realism. We are looking for an Applied ML Engineer to build and scale the data pipelines behind our large video generation models. This role focuses on collecting large amounts of relevant video data, preparing high-quality training samples, and developing robust preprocessing, filtering, and parsing workflows. You'll orchestrate annotation pipelines and own the full lifecycle of training data, from raw ingestion to clean, model-ready samples that directly drive quality improvements.

Community Ambassador (Contract, 3-Month Term)

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About Cantina:</h3>Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About the Role:</h3>We are looking for an Applied ML Engineer to build and scale the data pipelines behind our large video generation models. This role is focused on collecting large amounts of relevant video data, preparing high-quality training samples, and developing robust preprocessing, filtering, and parsing workflows. You'll orchestrate annotation pipelines across platforms such as MTurk and own the full lifecycle of training data, from raw ingestion to clean, model-ready samples that directly drive quality improvements. This role sits at the intersection of data engineering and ML research, making it central to how we turn messy real-world data into the fuel that moves our models forward.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You’ll Do:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Build and maintain data pipelines for large video generation models, including data ingestion, parsing, filtering, preprocessing, and dataset curation at scale, using tools such as AWS S3 and DynamoDB.</li><li class="leading-relaxed">Design and run annotation workflows across platforms such as MTurk, Prolific, and Mechanical Turk, including task design, quality control, and label validation.</li><li class="leading-relaxed">Train, evaluate, and improve smaller supporting models used for data filtering, quality assessment, preprocessing, or other parts of the ML pipeline.</li><li class="leading-relaxed">Partner closely with research and engineering teams to turn experimental workflows into scalable, repeatable systems that support model training and evaluation.</li><li class="leading-relaxed">Own data quality across the pipeline by identifying bottlenecks, failure modes, and low-quality sources, and continuously improving tooling and processes.</li><li class="leading-relaxed">Build internal tools and automation that make it easier to prepare datasets, launch annotation jobs, monitor outputs, and support model development end to end.</li><li class="leading-relaxed">Drive larger pipeline projects from start to finish, such as new dataset creation efforts or upgrades to labeling and preprocessing infrastructure.</li><li class="leading-relaxed">Work within a Kubernetes-based training infrastructure, ensuring datasets are properly prepared, formatted, and delivered to training clusters.</li><li class="leading-relaxed">Profile and optimize research model inference scripts used in preprocessing steps, ensuring that model-driven filtering and transformation stages run within practical time and cost constraints when applied to large-scale raw data.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You’ll Bring:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">3+ years of experience in machine learning, applied ML, data pipelines, or related engineering roles, ideally working on large-scale multimodal, video, or vision-based systems.</li><li class="leading-relaxed">Strong programming skills in Python and solid experience building reliable data processing and preprocessing pipelines for ML workflows.</li><li class="leading-relaxed">Hands-on experience preparing training data for ML models, including parsing, filtering, dataset curation, quality control, and large-scale data handling using tools such as AWS S3 and DynamoDB.</li><li class="leading-relaxed">Familiarity with annotation and labeling workflows, including task design, vendor or crowd-platform orchestration such as MTurk or Prolific, and methods for ensuring label quality.</li><li class="leading-relaxed">Experience working with Kubernetes for orchestrating distributed workloads, including data preprocessing, pipeline execution, and dataset delivery to training clusters.</li><li class="leading-relaxed">Comfort working across cloud and on-demand compute environments such as AWS and RunPod, with the ability to port and optimize pipelines across infrastructure.</li><li class="leading-relaxed">Familiarity with distributed data processing frameworks and experience designing systems that operate reliably at scale across many nodes or workers.</li><li class="leading-relaxed">Working knowledge of PyTorch and the broader deep learning stack, with the ability to read, debug, and optimize research model inference code for use in production preprocessing pipelines.</li><li class="leading-relaxed">Ability to work cross-functionally with research and engineering teams and translate experimental ideas into robust, scalable systems.</li><li class="leading-relaxed">Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related technical field; experience in generative video, computer vision, or multimodal ML is strongly preferred.</li><li class="leading-relaxed">Bonus: Experience training, evaluating, or fine-tuning smaller ML models used for classification, filtering, ranking, quality assessment, or other supporting tasks in an ML pipeline.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Compensation:</h3>The anticipated annual base salary range for this role is between $200,000-$260,000 (€170,000-€225,000). When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Benefits for U.S.-based roles:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Competitive salary and generous company equity</li><li class="leading-relaxed">Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina</li><li class="leading-relaxed">42 days of paid time off, including:</li><li class="leading-relaxed">15 PTO days</li><li class="leading-relaxed">10 sick days</li><li class="leading-relaxed">15 company holidays</li><li class="leading-relaxed">2 floating holidays</li><li class="leading-relaxed">Generous parental leave & fertility support</li><li class="leading-relaxed">401(k) retirement savings plan</li><li class="leading-relaxed">Lifestyle spending account – $500/month to use however you’d like</li><li class="leading-relaxed">Complimentary lunch and snacks for in-office employees</li><li class="leading-relaxed">One Medical membership, and more!</li></ul>

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- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

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Toast is seeking a highly organized and detail-oriented Interview Scheduler to join their Candidate Experience Team. This role involves coordinating interviews between candidates and hiring managers, ensuring a smooth and efficient process. The specialist will be crucial in providing an exceptional candidate experience and supporting overall recruiting efforts for Toast, a company that provides technology solutions for restaurants.

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<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">People & Places</h3><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Candidate Experience Specialist</h3>Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.We are looking for a highly organised and detail oriented Interview Scheduler to join our Candidate Experience Team. In this role, you will be responsible for co-ordinating interviews between candidates and hiring managers, ensuring a smooth and efficient interview process. You will play a key part in providing an exceptional experience for our candidates while supporting our recruiting efforts.Work Mode: Hybrid (at least 2-3 days in office per week however to be flexible for more WFO days considering the nature of the work)About this roll\* (Responsibilities)<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Recruitment Coordination: Assist with the coordination of recruitment activities, including scheduling interviews, assessments, and pre-employment checks. Coordinate travel arrangements and logistics for candidates, as needed. Ensure a smooth and efficient recruitment process by maintaining communication with candidates, recruiters, hiring managers, and other stakeholders.</li><li class="leading-relaxed">Candidate Experience: Serve as a point of contact for candidates throughout the recruitment process. Provide timely and professional communication to candidates, responding to inquiries, providing updates, and ensuring a positive candidate experience at every touchpoint. Collect feedback from candidates to identify areas for improvement and enhance the overall candidate experience.</li><li class="leading-relaxed">Interview Support: Coordinate interview schedules, reserve interview rooms, and arrange necessary resources. Provide candidates with interview details, including logistics, interviewers' information, and interview formats. Ensure a smooth interview experience for candidates by addressing any questions or concerns.</li><li class="leading-relaxed">Employer Branding: Support employer branding initiatives by ensuring a positive and consistent candidate experience. Contribute to the development of recruitment marketing materials, such as job descriptions, job advertisements, and company profiles.</li><li class="leading-relaxed">Compliance and Documentation: Stay updated on relevant employment laws, regulations, and compliance requirements. Ensure recruitment processes align with legal and ethical standards. Maintain accurate and organized recruitment documentation, including candidate records, consent forms, and recruitment-related communications.</li></ul>Do you have the right ingredients\*? (Requirements)<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">2 to 3 years experience as a Recruitment Coordinator, Candidate Experience Specialist, or a similar role within a recruitment team.</li><li class="leading-relaxed">Familiarity with Applicant Tracking Systems (ATS) and other Interview Scheduling Tools (e.g. Greenhouse/GoodTime or any other scheduling tool)</li><li class="leading-relaxed">Proven ability on handling virtual interview platforms (e.g. Zoom/BrightHire)</li><li class="leading-relaxed">Exceptional organizational and time management skills, with the ability to manage multiple priorities and meet deadlines.</li><li class="leading-relaxed">Strong attention to detail and accuracy in data management with an ability to handle confidential information.</li><li class="leading-relaxed">Excellent communication skills both written and verbal, with a focus on providing a positive candidate experience and an ability to engage with a wide variety of stakeholders.</li><li class="leading-relaxed">Customer service mindset with a commitment to delivering exceptional service to candidates and internal stakeholders.</li><li class="leading-relaxed">Strong interpersonal skills and the ability to build relationships with candidates, recruiters, and hiring managers.</li><li class="leading-relaxed">Understanding of employment laws, regulations, and best practices related to recruitment and candidate management</li></ul>If you are a pro-active, detail-oriented individual who thrives in a fast paced environment and enjoys coordinating logistics, we encourage you to apply for this position in our Candidate Experience Team.AI at ToastAt Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.Our Total Rewards PhilosophyWe strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at <a href="https://careers.toasttab.com/toast-benefits" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">https://careers.toasttab.com/toast-benefits</a>.How Toast Uses AI in its Hiring ProcessThroughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people.Diversity, Equity, and Inclusion is Baked into our Recipe for SuccessAt Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.We Thrive TogetherWe embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: <a href="https://careers.toasttab.com/locations-toast" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">https://careers.toasttab.com/locations-toast</a>.Apply today!Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact <a href="mailto:candidateaccommodations@toasttab.com" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">candidateaccommodations@toasttab.com</a>.------For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Bready\* for a change?</h3><a href="https://careers.toasttab.com/jobs/candidate-experience-specialist-bengaluru-karnataka-india-3c1c0d02-26fa-4bd0-b0b7-1095c7aed9a7?ghjid=7784325#applynow" target="blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Apply now</a>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

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Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

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Object Oriented Programming

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