Education Requirements:

• Bachelor's degree in a quantitative field (e.g., Computer Science, Math, Physics) or equivalent, extraordinary practical experience

Experience Requirements:

• Demonstrated history of exceptional talent and achievement in a rigorous field

• Proven ability to build complex systems from scratch and a strong portfolio of projects that showcase this skill

• Expert-level proficiency in Python and deep familiarity with at least one major ML framework (e.g., PyTorch, TensorFlow, JAX)

• Strong software engineering fundamentals, including data structures, algorithms, and writing clean, maintainable code

• A "ship it" mentality and a deep-seated drive to build things that work

Other Requirements:

• Contributions to open-source projects, research tools, or datasets

• Experience building and deploying full-stack AI applications

• Familiarity with modern cloud infrastructure (GCP, AWS, etc.) and MLOps tools (Docker, Kubernetes)

• Experience with large-scale data processing and model optimization

• A public portfolio of projects (e.g., on GitHub) that demonstrates your building skills

Responsibilities:

• Design, build, and ship end-to-end AI prototypes and features with a high sense of urgency

• Own the entire development lifecycle: from understanding a vague problem statement to producing clean, scalable, production-level code

• Rapidly survey, select, and implement the most effective state-of-the-art models and techniques to solve immediate business problems

• Work independently to architect and build robust systems, making pragmatic trade-offs between perfection and speed

• Quickly ramp up on new domains, frameworks, and technologies as needed to get the job done

Education Requirements:

• Degree in Computer Science, Engineering, or a related field

Experience Requirements:

• 5-10 years of backend engineering experience

• Strong proficiency in backend languages (Python and alike)

• Proven track record in a high-paced startup environment

• Experience with unmanaged backend microservices environments including Docker, Kubernetes, and message queues

• Experience with databases, APIs, and web services

Other Requirements:

• Background in B2C Product-Led Growth (PLG) products

• Expertise in NLP, AI, LLMS

• Experience with Elasticsearch

Responsibilities:

• Develop high-quality, scalable, and secure backend services

• Collaborate with frontend developers and product teams to integrate AI capabilities

• Engage in all technical aspects without reliance on DevOps support

• Uphold a culture of high efficiency, creativity, and quality

• Make fast, data-driven decisions and demonstrate ownership

Education Requirements:

• Bachelor’s degree in Computer Science, Data Engineering, or a related technical field

Experience Requirements:

• 4+ years of experience in software engineering or data engineering roles

• Proficiency in Python (or another high-level language), and experience with backend frameworks (e.g., FastAPI, Flask)

• Strong experience with data engineering tools and systems such as Airflow, Spark, dbt, or similar

• Hands-on experience with cloud platforms (GCP, AWS, or Azure), especially in data infrastructure

• Solid understanding of ETL/ELT pipelines, APIs, and microservices

Other Requirements:

• Experience building systems that interact with LLMs, RAG pipelines, or agentic architectures

• Familiarity with graph databases, vector stores, or semantic search technologies

• Experience working in startups or fast-moving product teams

• Exposure to DevOps and CI/CD practices in cloud-native environments

• Understanding of real-time data streaming technologies (Kafka, Pub/Sub, etc.)

Responsibilities:

• Design, build, and maintain scalable data pipelines and systems that support agentic applications

• Develop backend services and APIs that handle data ingestion, transformation, and access

• Work closely with the Data Engineering lead to define architecture and technical direction

• Integrate structured and unstructured data sources into agent workflows

• Ensure high performance and reliability of data systems in production environments

Experience Requirements:

• 5+ years managing software teams (people + projects) in remote, globally distributed environments

• Proven track record of leading high-performing teams in fast-paced, product-driven environments

• Strong technical judgment; comfortable reviewing PRs at a high level, scoping tickets, and challenging estimates

• Understanding of scalable architectures, APIs, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure)

• Excellent communication skills — able to provide clarity, context, and motivation across remote teams

Other Requirements:

• Experience in Agentic AI, or LLM-based product development

• Background in enterprise SaaS, platform engineering, or SRE

• Exposure to early-stage, VC-backed startups or global remote teams

• Familiarity with modern frameworks: FastAPI, React, Next.js, or similar

• Experience scaling engineering orgs (hiring, process, and mentorship)

Responsibilities:

• Lead a cross-functional team of software engineers, ensuring clarity in goals, timelines, and ownership

• Mentor engineers through code reviews, career growth plans, and performance feedback

• Own delivery — ensuring projects are shipped on time with high quality and measurable impact

• Establish and refine team processes for sprint planning, documentation, and release cycles

• Partner with recruiting to attract and onboard top engineering talent

Education Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field

Experience Requirements:

• 4+ years of experience in software QA engineering

• Strong knowledge of automated testing frameworks (e.g., Cypress, Playwright, Selenium, or similar)

• Experience testing modern web applications and RESTful APIs

• Familiarity with Git, CI/CD pipelines, and test environments

• Proficient in writing clear, concise bug reports and documentation

Other Requirements:

• Exposure to governance, access control, or identity systems

• Experience with performance/load testing

• Knowledge of cloud infrastructure (e.g., AWS, GCP) and containerized environments

Responsibilities:

• Develop and maintain comprehensive test strategies across backend services, APIs, and data pipelines

• Build, maintain, and improve test automation frameworks (integration, regression, E2E, performance)

• Perform manual testing to validate new features, edge cases, and user scenarios

• Identify, isolate, and document bugs thoroughly—work closely with engineers to resolve them

• Collaborate with developers during planning and design to establish clear acceptance criteria and test coverage

Education Requirements:

• Bachelor’s degree or higher in Human-Computer Interaction (HCI), Interaction Design, Psychology, Cognitive Science, Graphic Design, or a related field

Experience Requirements:

• 4+ years of hands-on experience in UX design and research roles

• Strong understanding of UX principles, usability heuristics, and design thinking methodology

• Proficiency in tools such as Figma, Miro, and wireframing/prototyping software

• Experience with user research techniques (interviews, usability tests, surveys) and synthesis methods

• Ability to translate complex problems into simple, intuitive solutions

Other Requirements:

• Experience designing B2B or SaaS products in a startup or agile environment

• Familiarity with tools like Hotjar, FullStory, Mixpanel, or Google Analytics

• Exposure to AI-driven or LLM-integrated product environments

• Understanding of accessibility standards (WCAG) and inclusive design

• Experience working with remote and globally distributed teams

Responsibilities:

• Conduct in-depth user research through interviews, surveys, usability testing, and data analysis

• Map and analyze end-to-end user journeys to identify friction points and opportunities

• Zoom into critical interaction points such as how a user completes a single action or interprets a single screen and refine usability at the micro level for maximum clarity and efficiency

• Create user personas, journey maps, user flows, wireframes, and prototypes to communicate design intent

• Collaborate closely with product managers, designers, and developers to translate insights into product improvements

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience

Experience Requirements:

• 7+ years in enterprise/B2B Sales Engineering, Solutions Architecture, or Technical Consulting, with at least 2 years in a leadership, principal or founding capacity

• Experience leading consultative solution cycles (e.g., custom integrations, professional services, or enterprise prototypes). Experience translating unstructured customer goals into working demos and technical success criteria

• Demonstrated experience leading strategic POCs, RFPs, or enterprise onboarding

• Deep understanding of AI/ML systems and integration patterns. Proficiency in Python, interacting with APIs, and agent orchestration

• Ability to communicate compellingly in both technical deep-dives and executive-level storytelling situations

Other Requirements:

• Track record of building scalable demo systems, reusable solution assets, and pre-sales processes

Responsibilities:

• Lead technical pre-sales engagements

• Design and deliver lightweight, believable prototypes that prove Wand’s unique capabilities

• Own the “Proof-to-Contract” motion

• Act as a consultative discovery partner

• Build reusable demo systems and technical frameworks

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 the 5 most recent papers you read and one common assumption you think may be wrong

Responsibilities:

• image generation

• image personalization

• image matting

• super-resolution

• colorization

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 the 5 most recent papers you read and one common assumption you think may be wrong

Responsibilities:

• LLM datasets and benchmarks

• named-entity recognition (NER) & information retrieval (IR)

• reasoning systems

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 the 5 most recent papers you read and one common assumption you think may be wrong

Responsibilities:

• developing datasets, benchmarks, and models in pursuit of AI doctors and curing cancer

Education Requirements:

• skills in foundational domains like math and computer science

Experience Requirements:

• minimal experience but provable learning capacity

• ability to learn

• no ML experience required

Other Requirements:

• passion for data and programming

• 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

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

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

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 portfolio and resume

• send proposals on how to make Hotpot look amazing

Responsibilities:

• teach AI how to draw oil paintings

• charcoal sketches

• fantasy art

• app icons

Experience Requirements:

• Previous or current experience in a Customer Onboarding / Implementation role

Other Requirements:

• Located in Mexico City, MX

• Ok with the posted comp range of $25 - $40 per hour

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.