Benefits:

• Medical insurance

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 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:

• 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.

Benefits:

• Be part of a mission-driven team transforming the IP industry with AI-powered solutions.

• Work in a collaborative, entrepreneurial environment where your voice matters.

• Enjoy opportunities for professional growth and development as we scale.

• Make a tangible impact on our clients and the innovation ecosystem.

Education Requirements:

• Licensed patent attorney

Experience Requirements:

• > 3 years hands-on experience in patent drafting and prosecution.

• Proven track record in a client-facing role such as customer success, pre-sales, product management, or consulting.

Other Requirements:

• Deep expertise in intellectual property law and practice, with a strong understanding of client challenges in patent workflows.

• Entrepreneurial mindset; thrives in a fast-paced startup environment, managing multiple priorities with minimal supervision.

• Passion for leveraging technology and innovation to drive client success and business growth.

• Exceptional communication and presentation skills, able to engage technical and non-technical audiences effectively.

• Analytical mindset with a talent for translating client needs into actionable product and business insights.

Responsibilities:

• Drive client success by ensuring seamless onboarding and deep adoption of DeepIP’s tools, maximizing integration into their patent drafting and prosecution workflows.

• Foster strong, lasting relationships with clients to promote satisfaction and loyalty while positioning DeepIP as an indispensable partner.

• Partner with Account Executives to win more deals by demonstrating the business value of DeepIP’s solutions with credibility and expertise.

• Act as the bridge between pre-sales, post-sales, and product teams, leveraging your expertise as a patent attorney to deliver unique insights that fuel product innovation.

• Work with the marketing team to craft compelling narratives about the pains, solutions, and value DeepIP delivers.

Benefits:

• Be part of a mission-driven team transforming the IP industry with AI-powered solutions.

• Work in a collaborative, entrepreneurial environment where your voice matters.

• Enjoy opportunities for professional growth and development as we scale.

• Make a tangible impact on our clients and the innovation ecosystem.

Experience Requirements:

• at least 2 years as a BDR, demonstrating excellence in handcrafted, highly qualitative prospection on an educated and demanding persona.

• 2 to 3 years of experience as an AE in a demanding vertical SaaS environment, with a strong record of managing complex enterprise sales cycles.

• Proven successful track record of selling $50k to $250k ACV software solutions.

• Ability to lead complex, multi-threaded sales with stakeholders ranging from executives to daily users – especially the ability to convey technical concepts to non-technical audiences.

Other Requirements:

• True hunter profile

• Excited about prospecting, and capable of independently leading a full sales cycle from start to finish.

• Demonstrated passion for DeepIP’s mission and a strong understanding of AI and its potential applications in the IP sector.

• Understands DeepIP’s business model and implements sales strategies in order to capitalize on opportunities and reduce competitive threats.

• Team player who can collaborate effectively across functions.

Responsibilities:

• Create and oversee a targeted account list, handling every stage of the sales process from initial outreach, demonstrating the product, closing contracts, and nurturing the relationship.

• Master MEDDIC, maintain excellent pipeline documentation & hygiene in CRM, ensure a 3X pipeline coverage, and achieve your quota consistently.

• Establish and maintain strong, long-lasting relationships with key decision-makers and stakeholders, gaining a deep understanding of their challenges.

• Work collaboratively with different departments, particularly marketing and product teams, to represent market insights, enhance messaging, and drive the product roadmap forward.

• Deliver product demos and presentations to demonstrate the value of DeepIP

Benefits:

• Hybrid work model

• Budget to visit important conferences, read up on papers and develop skills

• Egym wellpass (qualitrain) membership

• Regular team events

• Public transport subsidy

Education Requirements:

• Master's degree in Computer Science, Mathematics, Statistics, Physics, or related technical field

• or Bachelor's degree with at least 2 years of experience in professional software engineering

Experience Requirements:

• Experience contributing to open-source projects

• Experience creating and deploying Machine Learning, Data Science or generative AI Projects

• Solid foundation in Python programming and professional software development principles (e.g. unit testing, code reviews, version control)

• Expert knowledge in Machine Learning, Statistics and Numerical Methods (Advantageous)

• Experience in creating and deploying production ready generative AI solutions, including RAG and Agentic Systems in Python (Advantageous)

Other Requirements:

• Team player with curiosity and eagerness to grow in AI/ML engineering, good problem solving skills, and a drive for excellence

• Experience in writing on technical topics for a general audience (e.g., blog posts, magazine articles) (Advantageous)

• Experience in teaching or creating teaching materials (Advantageous)

Responsibilities:

• Contribute to research projects by designing software that allows for quick experimentation and rigorous evaluation of research ideas

• Create and deploy GenAI Applications (from RAG to agentic systems) for internal or external use

• Support the creation of training materials and demos on GenAI, Machine Learning and Software Engineering

• Contribute to open-source Python packages

• Participate in hackathons and other events to solve challenges and stay engaged with the AI/ML community

Benefits:

• competitive compensation package

• pension contributions

• flexible holiday allowances

Education Requirements:

• PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Demonstrated expertise applying deep learning to omics data at scale

• Proficiency in Python and modern deep‑learning frameworks (PyTorch, JAX, or similar)

• Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics

• Solid grasp of causal inference, experimental design, and statistics

• Familiarity with software engineering best practices, version control, code review, and continuous integration

Responsibilities:

• Identify, prioritize, and acquire multi-omics datasets

• Build, maintain, and document data pipelines that ingest, quality‑control, and harmonize large multi‑omics datasets

• Design schemes for pretraining and finetuning Enchant on multi-omics data

• Define benchmarks for target‑selection and biomarker tasks; source or assemble reference datasets to measure progress

• Apply causal‑inference principles to propose experiments that disambiguate biological mechanisms and validate model outputs

Benefits:

• competitive compensation package

• pension contributions

• flexible holiday allowances

Education Requirements:

• Bachelor's degree

• Master's degree

• PhD

Experience Requirements:

• Minimum of 8 years of related experience with a Bachelor's degree

• 6 years and a Master's degree

• PhD with 3 years experience

Other Requirements:

• Technical acumen to develop and maintain ML systems used by the ML team

• Experience with ML systems that are cloud-based and frequently process TBs of data

• Experience working with scientific computing/lab environments (e.g. has used or administered SLURM)

• Demonstrated competence and rigor in software development

• Strong python software skills

Responsibilities:

• Work in a cross-functional team that spans the full domain of drug discovery

• Support a software system that performs biomolecular simulation

• Provide software development support to the ML model life cycle, working in the design and development of: efficient and maintainable data pipelines

• Benchmarking systems of models

• Deployments to AWS and use of Kubernetes (in collaboration with our cloud engineers)

Education Requirements:

• BS or MS in Computer Science or a related field

Experience Requirements:

• 5+ years of Software Engineering experience

• Extensive experience with programming, system design and algorithm design

• Expert in C/C++ and CUDA

• Excellent debugging expertise on Linux

• Robotics/AV experience

Other Requirements:

• Interest and passion for developing and hardening novel, ground-breaking technology

• Proficient in Python

• Experience with deployment of AI models on physical robots

• Experience with Nvidia Jetson or Nvidia Drive platforms

• Experience with real-time system development

• Experience with distributed systems design and architecture

• Experience with troubleshooting and tuning systems

Responsibilities:

• Develop, test, and maintain an assigned section of our autonomous vehicle software stack

Benefits:

• Stipend to support research training of £2,000 for 4 years

• Tuition fees waived up to the overseas rate for 4 years

Education Requirements:

• Academic or professional background in Computer Science, Mathematics, Statistics, Econometrics, or related disciplines

• Academic or professional background in Law, Information Systems, or Computer Science

• Academic or professional background in Computer Science, Mathematics, Statistics, Econometrics, Industrial Engineering, or any related disciplines

Responsibilities:

• Research on AI for Fairness, Transparency, and Inclusive Growth in Financial Services

• Research on ethical, legal, and social implications of integrating AI

• Developing policies and strategies for human-AI coexistence

• Research on AI to enhance sustainability and efficiency in supply chain networks

Benefits:

• Coaching

• Amazon Kindle

• Amazon free library

• English lessons

• SZÉP Card Medicover insurance Bicycle Nursery support Eyeglass allowance Sport tickets

Experience Requirements:

• 3+ years of PM experience

Responsibilities:

• Analyze product data and session recordings to uncover pain points, identify opportunities, drive product adoption.

• Lead agile rituals (standups, planning, reviews, retrospectives).

• Coordinate product discovery, delivery, and GTM with design, engineering, QA and success teams.

• Document product requirements, user stories, and QA issues.

• Collaborate with leadership on planning and strategy. Own and prioritize the product backlog and roadmap. Participate in English and Hungarian language customer meetings. Stay up-to-date on competitors, industry trends, and PM practices

Benefits:

• Training budget

• Medicover-White card

• Glasses

• SZÉP card

• ESOP Phone support Awsomeness awards Flexible work hours Win a StarCraft game & get a MacBook

Experience Requirements:

• Customer Success Experience

• L1 support experience

Responsibilities:

• Client Communication: Build strong relationships with B2B clients, ensuring their success and satisfaction

• Technical Support: Provide Level 1 support, resolving customer issues efficiently

• CRO Enthusiasm: Help enhance clients’ online performance with conversion optimization insights

• Sales Skills: Spot upsell and cross-sell opportunities to drive business growth

Benefits:

• Training budget

• Medicover-White card

• Glasses

• SZÉP card

• ESOP Phone support Awsomeness awards Flexible work hours Win a StarCraft game & get a MacBook

Experience Requirements:

• Marketing experience

Responsibilities:

• Implement CRO-focused ecommerce campaigns using OptiMonk to enhance website performance and increase conversion rates for our clients Execute A/B and multivariate tests to optimize conversion funnels Monitor and analyze website performance using web analytics tools Generate reports and present findings to clients on the impact of our optimization efforts Work closely with marketing, design, and development teams to implement optimization strategies Provide data-driven recommendations to continuously improve conversion rates

Benefits:

• Reduced working year scheme

• Parental leave provisions

• Study support encompassing leave and financial assistance

• Comprehensive professional development

• Salary Packaging

Education Requirements:

• Completion of a doctoral qualification in engineering, computer science, or related discipline.

Experience Requirements:

• A well-formulated research agenda and the willingness or demonstrated capability to independently conduct high-quality research.

• Demonstrated ability to publish research outcomes in top conferences or journals in robotics, computer vision, or machine learning.

• Demonstrated knowledge and expertise in the foundations of robotics, computer vision, machine learning.

• Demonstrated proficiency in Python and experience with ROS, deep learning frameworks such as PyTorch, Linux.

• Excellent communication skills.

Responsibilities:

• Contribute to the research in QCR’s Visual Learning and Understanding Program

• Work closely with a team of academics, research fellow, engineers, PhD students and undergraduates

• Co-supervise PhD students and undergraduate students

• Publish in high-quality conferences and journals in robotics, computer vision, machine learning

• Actively participate and contribute to our collaborative culture within the Centre, including visits to Centre partners and joint publications

Benefits:

• Cycle to work scheme

• Social events

• Share Options

Education Requirements:

• degree in maths, science or engineering

Experience Requirements:

• At least 3 years experience in selling technical solutions

Responsibilities:

• be responsible for targeting new business and growing key assigned accounts.

• engage with research and innovation professionals, who are keen to understand the business impact of applying AI and machine learning, and demonstrate the key advantages of our technology and products in the real world.

• contributing towards the company’s growth and scale.

Benefits:

• Potential for stock options

• A dynamic, agile work environment

• A chance to be at the forefront of cybersecurity innovation

• Flexible remote work arrangement and a healthy work-life balance

• Provided MacBook, monitor, and other essential tools

Experience Requirements:

• Experience in Product Management, preferably in SaaS and/or Security

• Strong ability to translate technical concepts into user-friendly features

• Excellent communication and collaboration skills

• Familiarity with Agile methodologies, roadmaps, and backlog management

Responsibilities:

• Help define and oversee the execution of the product roadmap, aligning with business goals and customer needs.

• Conduct market research, meet with customers, collect user feedback, and perform analysis to drive product decisions.

• Collaborate with engineering, design, and security teams to bring features to life and simplify the product.

• Prioritize features and improvements, ensuring both the best user experience and business impact.

• Communicate product vision and progress across teams and stakeholders.

Benefits:

• Competitive Compensation

• Flexible Vacation

• Personal Days

• Flex Days

• Comprehensive Health Benefits: Full coverage for dental, vision, prescription medication, alternative health therapies, and life insurance (after 3 months). Parental Leave Top-Up: Supplemental financial support for up to 15 weeks of parental leave, in addition to EI benefits. Professional Growth: Access to leadership training and role-specific development opportunities for continuous learning. Company Phone Plan: Optional company phone plan available after 3 months. Team Retreats & Celebrations: Join us for company retreats, live events, and celebrations throughout the year. Retirement Savings: RRSP contribution plan with employer matching (optional after 3 months).

Education Requirements:

• Bachelor’s degree in Business, Marketing, or a related field; MBA or equivalent is a plus.

Other Requirements:

• Must pass a background check to maintain SOC 2 compliance and uphold company security standards.

Responsibilities:

• Develop using React/Vue (front-end) and Python/PHP (back-end).

• Integrate AI models (LLMs, GPT, AI Agents) to deliver seamless, cutting-edge user experiences.

• Utilize AI-assisted IDEs like Windsurf, Cursor, and other AI-driven development tools to boost efficiency.

• Leverage AI coding assistants and automation to write, debug, and optimize code faster.

• Stay ahead of advancements in AI-driven software engineering workflows.

Benefits:

• Flexible, Hybrid Workplace: Enjoy the autonomy to choose between working remotely or in the office, with the flexibility to create a work environment that suits your needs. Flexible Vacation: Start with 3 weeks of vacation in your first year, and enjoy unlimited vacation starting your second year. Personal Days: Unlimited personal days for planned time off (booked in advance). Flex Days: 10 flex days for last-minute personal or sick days, giving you added flexibility when unexpected events arise. Comprehensive Health Benefits: Full coverage for dental, vision, prescription medication, alternative health therapies, and life insurance (after 3 months). Professional Growth: Access to leadership training and role-specific development opportunities for continuous learning. Company Phone Plan: Optional company phone plan available after 3 months. Team Retreats & Celebrations: Join us for company retreats, live events, and celebrations throughout the year. Retirement Savings: RRSP contribution plan with employer matching (optional after 3 months).

Other Requirements:

• To maintain SOC2 compliance, Employment is contingent on passing a background check.