Education Requirements:

• skills in foundational domains like math and computer science

Experience Requirements:

• minimal experience but provable learning capacity

• ability to learn

Other Requirements:

• share resume and profiles from GitHub, Stack Overflow, and Hacker News

Education Requirements:

• skills in foundational domains like math and computer science

Experience Requirements:

• minimal experience but provable learning capacity

• ability to learn

Other Requirements:

• share resume and profiles from GitHub, Stack Overflow, and Hacker News

Benefits:

• Opportunity to co-create meaningful technology and products that improve people's lives

• Culture of ownership, openness and trust

• Working with professionals in a small dream team

• Private healthcare

• Work equipment and tools of your choice

Education Requirements:

• MSc / PhD in Computer Science, Mathematics, Biomedical Engineering or similar

Experience Requirements:

• 3+ years of experience with data analysis and neural networks

Other Requirements:

• Strong knowledge of SOTA machine learning trends, new architectures and signal processing methods

• Experience with biosignal analysis (ECG, EEG, PPG or similar)

• Proficiency in Python and scientific libraries (Scikit-learn, Scipy, Numpy, Pandas and MatplotLib)

• Experience with PyTorch/Tensorflow

• Interest in human physiology, medicine, and wellness

• Previous c++ experience

• Knowledge of Computer Vision domain

• Data mining experience

Responsibilities:

• Develop deep learning models for biosignal analysis

• Conduct research on deep learning architectures for biomedical signals

• Provide feedback to data collection teams regarding experimental setups and procedures

• Perform exploratory data analysis, create visualizations and share data-informed insights with the team

• Process, clean, and prepare biosignal data

Benefits:

• Meaningful (double digit!) equity stake

• Competitive compensation

• Sweet offsites

• Company-provided health insurance

• Mobile-phone reimbursement

Experience Requirements:

• At least 3 years of experience as a software engineer

• Fluent in computer science fundamentals and architecture design patterns

• Familiarity with React and Python

• Familiarity with JVM languages - Java, Scala, scripting languages - Node.js, Typescript

• Experience implementing and working with message queue systems (Redis, Kafka, MQTT)

Other Requirements:

• Some expectation of on-call platform support

• Bonus points if you've been a founder or built 0 to 1 before

• SF / Bay Area based candidates only, 3 days/week in SF

Responsibilities:

• Help implement and bring to market core features on Zing Data’s platform for GenAI business intelligence

• Work on interesting features on our query intelligence, distribution engine that help our users get near instant response times

• Work with the latest GenAI models like OpenAI, Google Gemini, Meta's LLAMA, Deepseek and Anthropic to build amazing user experiences

• Work on how AI models enable powerful automated workflows

• Own technical execution across a team of three engineers

Benefits:

• Competitive salary

• 25 vacation days and 8% holiday pay

• NS-Business Card

• Good pension scheme

• Hybrid work model

Education Requirements:

• Minimum higher professional education (HBO) work and thinking level

Experience Requirements:

• Minimum 1 year of experience as Front-end Developer or UI/UX Designer

Other Requirements:

• Experience with Angular, JavaScript, HTML5, CSS3

• Knowledge of Git version control

• Experience with building scalable design systems

• Experience with .NET is a plus (nice-to-have)

• Affinity with AI, SaaS and innovative technologies

Responsibilities:

• Design and realize a user-friendly and modern frontend in Angular, JavaScript, HTML5 and CSS3

• Work on a large re-design project of our web application

• Collaborate with product management and UX designers to translate customer wishes into design concepts and interactive prototypes

• Build scalable design systems and improve our UI components

• Integrate APIs and collaborate with back-end developers for smooth data flow

Experience Requirements:

• How many years of hands-on experience do you have with Python scripting?

• Have worked with API integrations?

Other Requirements:

• interested in AI/ML space

• good with communication

• enjoy tasks with quick wins and love solving a diverse set of problems

• understand Nanonets’ product really well

• understand customer requirements/goals

• build machine learning models on the Nanonets platform to demo capabilities to customers on their own data

Responsibilities:

• Accompanying salespeople on client calls to answer technical questions, understand their current processes and goals with Nanonets, and suggest improvements.

• Building solutions/demos based on their requirements using Nanonets product

• Write code to solve user requirements that the product doesn’t support completely

• Solving challenges potential customers might be facing with the product

• Researching about customers current tools/stack and building technical architecture for end solution we are proposing that will solve their problem

Experience Requirements:

• 1–3 years of experience in Machine Learning / AI Engineering/ Deep Learning

• 1-3 years of experience with the latest semi-supervised, unsupervised and few shot architectures in Deep Learning methods in NLP/CV domain.

• Have previously shipped something of significance, either implemented some paper or made significant changes in an existing architecture etc.

Other Requirements:

• Strong Machine Learning concepts

• Strong command in low-level operations involved in building architectures like Transformers, Efficientnet, ViT, Faster-rcnn, etc., and experience in implementing those in pytorch/jax/tensorflow

• Strong command in probability and statistics

• Strong programming skills in Python and familiarity with PyTorch or TensorFlow.

• Experience with data preprocessing, training, and evaluation for vision or NLP tasks.

• Experience working with LLMs or multimodal models (Hugging Face transformers, Nanonets-OCR-S, Qwen-VL, LLaMa).

• Knowledge of REST APIs, Docker, Git, Kubernetes and basic cloud deployment (AWS/GCP/Azure).

• Good understanding of ML fundamentals (supervised learning, evaluation metrics, error analysis)

• Basic understanding of agentic AI workflows (document reasoning, confidence scoring, grounding).

• Strong problem-solving and analytical skills

Responsibilities:

• Understand specific customer requirements, develop and apply SOTA GenAI solutions to their workflows

• Develop and fine-tune OCR and Vision Language Models (text detection, recognition, entity extraction, layout understanding).

• Build and maintain data pipelines for documents, including cleaning, augmentation, and annotation.

• Implement and evaluate document parsing solutions for invoices, receipts, IDs, contracts, forms, etc.

• Work with LLMs/VLMs to enhance document understanding and enable intelligent reasoning over documents.

Education Requirements:

• B.E./B.Tech from top-tier engineering colleges

Experience Requirements:

• 3+ years of hands-on deep learning experience with production deployments

• Proven track record of taking models from research to production

Other Requirements:

• Strong PyTorch expertise – ability to implement custom architectures, loss functions, and training loops from scratch

• Experience with distributed training and large-scale model optimization

• Solid understanding of transformer architectures, attention mechanisms, and modern training techniques

• Experience with model serving frameworks (TorchServe, Triton, Ray Serve, vLLM)

• Knowledge of efficient inference techniques (ONNX, TensorRT, quantization)

• Contributions to open-source ML projects

Responsibilities:

• Train & Fine-tune SOTA Architectures: Adapt and optimize transformer-based models, vision-language models, and custom architectures for document understanding at scale

• Production ML Infrastructure: Design high-performance serving systems handling millions of requests daily using frameworks like TorchServe, Triton Inference Server, and vLLM

• Agentic AI Systems: Build reasoning-capable OCR that goes beyond extraction – models that understand context, chain operations, and provide confidence-grounded outputs

• Optimization at Scale: Implement quantization, distillation, and hardware acceleration techniques to achieve fast inference while maintaining accuracy

• Multi-modal Innovation: Tackle alignment challenges between vision and language models, reduce hallucinations, and improve cross-modal understanding using techniques like RLHF and PEFT

Benefits:

• Offers Equity

Other Requirements:

• Based in the Bay Area or willing to re-locate

Benefits:

• Offers Equity

• medical

• 401(k)

Other Requirements:

• Are you authorized to work in the location(s) you selected in your previous response?

• Will you require Centari to sponsor you for a work permit now or in the future for the location(s) you selected in in your previous response?

• Are you willing to travel 1 week per quarter within the United States for onsite meetings?

• What is your experience with AI coding tools?

Benefits:

• Work directly with industry veterans from Spotify, Soundcloud, Twitch, and YouTube.

• Be part of a passionate, innovative team redefining music creation and interaction - we love music!

• Small, dynamic team backed by leading investors including Amazon’s Alexa Fund, Khosla Ventures, BITKRAFT Ventures and King River Capital.

• Flexible work arrangements, working remotely with a global team with regular trips to our HQ in Brisbane Australia

• The opportunity to contribute to cutting-edge music technology.

Experience Requirements:

• Proven software development experience, ideally in Python (other languages a plus).

• Experience implementing and deploying ML models, using PyTorch framework.

• Familiarity with AWS cloud environment for deploying and scaling ML solutions.

• Ability to preprocess and model unstructured data, especially audio.

• A strong focus on applied problem-solving, with a practical approach to integrating existing tools and systems. Additionally, familiarity with GenAI architectures like transformers, LLMs, or diffusion models.

Other Requirements:

• A good understanding of music, production, or audio technology processes (or a strong interest in music)

• Proactive nature, ability to creatively solve problems you face and bring new ideas to the team.

• Clear and effective communication with technical and non-technical stakeholders.

• Ability to work independently and remotely while collaborating closely with cross-functional teams.

Responsibilities:

• Design and implement ML algorithms to enhance music creation tools and solve various user problems in line with product goals.

• Identify and implement off-the-shelf ML and AI tools to solve practical problems efficiently.

• Understand the requirements of running models in production, including domain shift testing, QA, A/B testing and so on.

• Maintain production-ready code with considerations for how solutions fit the product and enhance the user experience.

• Build scalable, maintainable data pipelines to handle audio and other unstructured data.Collaborate with Product and Engineering teams to ensure seamless integration of ML solutions into production systems. Additionally, evaluate, deploy, and fine-tune pre-trained models for tasks like audio analysis, melody generation, and process automation.

Benefits:

• Work alongside a small but powerful team of experts from companies like Spotify, SoundCloud, Twitch, Amazon, and Apple.

• Gain hands-on experience in a startup environment where your contributions directly impact our products.

• Learn best practices in software engineering, AI tools, and product development from experienced mentors.

• Collaborate in a dynamic, multidisciplinary team of engineers, musicians, designers, and product experts.

• Access to flexible remote work options or our Brisbane office hub in Fortitude Valley.

Education Requirements:

• Students, recent graduates, and those early in their careers.

Experience Requirements:

• Experience with one or more programming languages (ideally Python and JavaScript frameworks React and Typescript).

• A passion for music tech, gaming, and product-led development.

• A problem-solving mindset - you enjoy debugging, troubleshooting, and finding creative solutions.

• Interest in full stack product development - design, frontend and backend

• A strong desire to work in a fast-paced startup environment.

Other Requirements:

• Cross-over hours with US and Australia is a requirement for this role.

• US West Coast is preferred.

Responsibilities:

• Contribute to the development of Splash’s web and gaming-based music tools, improving usability and scalability.

• Work across the full stack - frontend (React, TypeScript), backend (Python, Node.js), and databases.

• Learn and apply AI-powered development tools to optimize coding efficiency and problem-solving.

• Debug, troubleshoot, and optimize applications for performance and security.

• Assist with UX/UI improvements, making our products more intuitive and engaging. Additionally, work closely with senior engineers to implement product features while also taking ownership of independent tasks.

Benefits:

• Our team is remote-first; you will be working with colleagues on Australian timezone and some degree of overlap with this team is expected.

• Work alongside our senior executives, who bring a wealth of knowledge from previous roles at SoundCloud, Spotify, Twitch, and YouTube.

• Work within a small, dynamic team backed by leading investors including Amazon’s Alexa Fund, Khosla Ventures, BITKRAFT Ventures, and King River Capital.

• Be part of a talented group of creatives, musicians, engineers that value initiative and imagination – we also love music and gaming.

Experience Requirements:

• Working experience with Roblox Studio using Lua (similar programming and scripting languages may be considered with the right mix and gaming and technical development experience and ability to pick up new languages).

• Professional experience in game development.

• Shipped one or more games, apps or digital products.

• Experience with modern development practices such as continuous integration, continuous delivery, version control and testing.

• Excellent verbal and written communication skills. Additionally, strong problem solving skills with a high attention to detail.

Other Requirements:

• Working rights in Australia.

• Passion for music, we have a lot of musicians and music aficionados here at Splash!

• Organised with an ability to deliver tasks within tight deadlines.

• Persistent self-motivation, initiative, and drive.

Responsibilities:

• Understand consumer needs and ensure that the elements developed by the team will contribute to player satisfaction and enjoyment.

• Work closely with the Lead Game Designer to ideate, design and plan new game content and features based on player feedback and data.

• Collaborate with other developers and designers to bring gameplay to life, including prototyping and refining features.

• Review and balance game economies for sustainability, engagement, and monetisation.

• General troubleshooting with technical aspects. Additionally, remain current on industry trends.

Benefits:

• Work alongside our CTO, CPO and CEO who together bring a wealth of knowledge from previous roles at Soundcloud, Spotify, Twitch and YouTube!

• Work with a small but powerful team backed by leading investors including Amazon’s Alexa Fund, Khosla Ventures, BITKRAFT Ventures and King River Capital

• Be part of a talented and highly-dynamic team that values initiative and imagination - we also love music.

• We offer a competitive salary and remote/flexible work options.

Experience Requirements:

• 5+ years of experience as a Full Stack Engineer, with expertise in both backend and frontend development.

• Expert in AWS cloud services and tooling, including EC2, S3, Lambda, RDS, API Gateway, CloudFormation, Terraform, AWS CDK, and AWS monitoring tools.

• Strong experience with microservices architectures, designing scalable, maintainable, and secure applications.

• Skilled in Python, JavaScript, or similar languages, with a solid understanding of modern frameworks and tools.

• Experience with frontend technologies such as React, TypeScript, or similar, with the ability and willingness to contribute when needed.

Other Requirements:

• A background in music, play an instrument, or have a passion for all things music

• A passion for/understanding of gaming is an added bonus

• For this position we strongly prefer Aussie East Coast timezone

• Ability to share knowledge and set best practice within our team.

• Experience deploying and maintaining ML-powered applications, with exposure to AWS ML services like SageMaker, Bedrock, or integrating ML models into cloud architectures.

• Experience with DevOps and automation, including CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and containerization (Docker, Kubernetes).

• A passion for mentoring and knowledge sharing, helping the team level up their AWS and ML expertise.

• Interest in ML and AI-driven applications, with a curiosity for how off the shelf ML models can be tailored, deployed and integrated into scalable systems.

• Comfortable working in fast-paced environments, with an iterative mindset and a willingness to adapt to changing requirements.

• Deep understanding of software engineering best practices, including performance optimization, security, and testing strategies.

• Excellent communication skills, able to explain technical concepts to both technical and non-technical audiences.

• A self-driven, proactive mindset, comfortable working in distributed teams with a strong sense of ownership.

Responsibilities:

• Architect, build, and scale full-stack applications, ensuring seamless integration between frontend, backend, and cloud services.

• Lead AWS best practices within the team, helping improve infrastructure, security, and scalability while mentoring others on AWS capabilities.

• Design and develop cloud-native architectures using AWS services (EC2, S3, Lambda, RDS, API Gateway, etc.), ensuring high availability, performance, and security.

• Leverage AWS tooling (CloudFormation, Terraform, CDK, AWS CodePipeline, CloudWatch, etc.) to automate infrastructure management, deployment, and monitoring.

• Work closely with our small team of engineers to ensure smooth communication between backend services and client-facing applications, taking on front-end tickets where applicable. Additionally, support and enhance ML-driven applications, deploying and managing ML models in production using AWS services such as SageMaker, Bedrock, or other ML-related tooling.

Benefits:

• Work alongside our senior executives, who bring a wealth of knowledge from previous roles at SoundCloud, Spotify, Twitch, and YouTube.

• Work within a small, dynamic team backed by leading investors including Amazon’s Alexa Fund, Khosla Ventures, BITKRAFT Ventures, and King River Capital.

• Be part of a talented group of creatives, musicians, engineers that value initiative and imagination – we also love music and gaming.

Experience Requirements:

• 3+ years experienced as software engineer with strong generalist skills across game and non-game systems.

• Working experience with Lua or similar programming (Unity, Unreal, or custom engines).

• Professional experience in game development.

• Shipped one or more games, apps or digital products.

• Experience with modern development practices including continuous integration, continuous delivery, version control and testing.

Other Requirements:

• Working rights in Australia.

• Passion for music , we have a lot of musicians and music aficionados here at Splash!

• Pragmatic and fast-moving—you know how to balance quality, performance, and timelines.

• Excellent verbal and written communication skills.

• Strong problem solving skills with a high attention to detail.

• Organised with an ability to deliver tasks within tight deadlines.

• Persistent self-motivation, initiative, and drive.

Responsibilities:

• Build, maintain, and modernize game systems inside our Roblox experience.

• Work across the stack—from gameplay mechanics to infrastructure tools.

• Bring a game designer's mindset to problem solving: user-focused, creative, and iterative.

• Collaborate on cross-platform integrations between our web and in-game systems.

• Contribute to the development of SDKs, internal tools, and pipelines. Additionally, assist with architecture and best practices that scale as the game grows.

Benefits:

• Stock options

• MacBook + 34″ Monitor

• Budget for online courses, books, and conferences

• 5 weeks of vacation + 9 sick days

• 1 Volunteer Day per year for you to help causes close to your heart

Education Requirements:

• Bachelors or above in quantitative field

Experience Requirements:

• 5+ years of experience in developing, and maintaining robust data models from structured and unstructured sources

• 5+ years of experience writing accurate and effective code in SQL (Python is a plus)

• Experience with modern data storage and processing technologies (i.e, Snowflake, Looker, Airflow, and dbt or similar)

• Experience proactively identifying opportunities to improve ETL & dashboard performance and cost

• Experience leveraging your excellent communication skills to thrive in ambiguous environments where problems are not well-defined and evolve quickly

Other Requirements:

• A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord

• Last but not least - a collaborative attitude and a healthy dose of natural curiosity!

Responsibilities:

• Collaborate with Product, Engineering, GTM, and Data Analysts to build and scale a world-class data infrastructure

• Design, develop, and own core data models and pipelines that power analytics and drive product insights

• Work cross-functionally with Product Management, Engineering, Finance, and IT to unlock opportunities and improve internal systems

• Partner with Compliance, IT, and Engineering teams to ensure we meet data governance and privacy standards

• Solve complex, often unstructured data challenges with creative and scalable solutions

Experience Requirements:

• Professional expertise in building Python applications

• Proficiency in designing, executing, and maintaining ML systems and solutions in a production environment

• Familiarity with the management of performance and testing of ML systems

• Practical experience with message queue systems and a grasp of event-driven architecture

• A background in data science and LLMs would be highly advantageous

Responsibilities:

• Building AI-powered product features

• Enhancing and sustaining our internal tech stack, while identifying and incorporating new state-of-the-art technologies

• Discovering and experimenting across different domains, creating MVPs and POCs, engaging in discussions about findings with fellow engineers and the product team, and planning the execution

• Collaborating with other engineers, introducing fresh concepts and methodologies to the team

Benefits:

• Stock options

• MacBook + 34″ monitor

• Budget for online courses, books, and conferences

• 5 weeks of vacation + 9 sick days

• Volunteer Days for you to help causes close to your heart

Experience Requirements:

• 5+ years of experience building web apps

• Experience with single page applications built with JavaScript required

• Experience with our favorite approaches and frameworks preferred (TypeScript, React, Continuous and Progressive Delivery with Feature Flags)

• You have a track record of taking ownership for public-facing features through the entire discovery, design, and delivery process, coordinating the successful outcome for your team under the guidance of your manager

• You've worked on teams where you've owned and operated your own services, and you've had direct responsibility for some or all of Production Debugging and Incident Resolution CI/Deployment pipelines Progressive Delivery with Feature Flags Tooling and Developer Experience Automated Testing Analytics

Other Requirements:

• A solid understanding of functional programming principles

• Bonus points if you’re passionate about AI technologies and have a strong curiosity about their potential impact.

• Confident designing frontend architecture and passionate about performance

• Experience mentoring and helping teammates, doing code reviews and pair-programming

• Drive to have the editor and tooling set up perfectly

Responsibilities:

• Develop features with real value for a one-of-a-kind product management system.

• Work across the whole stack and touching all domains to ensure smooth customer collaboration.

• Own and maintain a variety of horizontal domains from navigation, through editor experience to history.

• Be part of the whole feature development lifecycle, with direct access to a wealth of customer feedback.

• Drive some of the big decisions and foundational platforms that help our whole engineering organization accomplish that.

Education Requirements:

• Graduate in Engineering OR Master's in Computer Application

Experience Requirements:

• Minimum 2-5 plus years of solid development experience

• Should have worked on open source Platforms

Other Requirements:

• Skillset should have few of the following Node.js, jQuery, Backbone, Underscore, Redis / CouchDB / MongoDB, Web Sockets

• Knowledge on Linux / Unix flavours

• Candidate must have hands-on experience in server-side programming, independent of technology

• Strong knowledge of code documentation and handover

• Experience with the git version control system

• Experience in open source contribution

Responsibilities:

• Analyzing business requirements

• Interacting with different business teams

• Being a part of the solution design process

• Developing server APIs/components

• Being a part of scaling applications and database infrastructure processes

Experience Requirements:

• Commercial construction experience, preferably for 5 years or more.

Other Requirements:

• Excellent communication and project management skills.

• Full fluency in industry-specific engineering software.

• Ability to work as part of a flexible and adaptable team.

Responsibilities:

• You will monitor the whole construction cycle and ensure that firstly, the construction modeling is done to the highest standards.

• Secondly, you identify potential risks associated with particular architectural features and carry out a detailed assessment of the desired design functions and their real-life implications.