AI Jobs

Benefits:

• Equity packages - we want our success to be yours too

• Inclusive parental leave policy that supports all parents & carers

• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more

• Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Experience Requirements:

• You are experienced in technical and people leadership, making sound decisions and delivering outcomes on technical projects

• Passion for design. This team works at the intersection of engineering and design so a genuine desire or proven experience in this would be a huge bonus

• Commercial experience in Machine Learning or as a Backend Engineer in a related domain

• The ability to support the team to balance exploratory/innovative work with high priority feature delivery

• You can effectively communicate (inside the team and outside) the value of short- and long-term features, translating technical details to the business value, building support and trust from team members.

Responsibilities:

• Design, develop and deploy solutions to challenging Design AI problems – working closely with MLE's, backend engineers, frontend engineers, designers, and product managers to deliver features and experiments to our users

• Coach, mentor, and strengthen the team through project selection, knowledge sharing and balancing delivery expectations

• Nurture and grow skills in the team including machine learning, colour science, computational geometry, meta heuristics, design principles and related skills

• You will give meaningful input into the engineering direction and strategy for the team

• You will resource plan effectively as the feasibility of our projects are very tightly linked to the skills and strengths of specific engineers

Experience Requirements:

• 10+ years experience shipping AAA, casual or mobile games, with high complexity innovations (vs solely iterative or pure sequels), in a technical director type role.

• High comfort with technical complexity and ambiguity, and an interest to pioneer

• Exceptional communication, cross discipline collaboration and leadership skills

Responsibilities:

• Games technology strategy, development and prototyping

• Team Leadership

• Creative

Education Requirements:

• Bachelor’s in computer engineering, electronics engineering, or related field.

Experience Requirements:

• 5+ years hands-on experience with focus on front-end complex RTL Verilog design.

• Highly motivated and skillful at solving difficult technical problems.

Responsibilities:

• RTL Design and verification

• FPGA prototyping, Benchmark using EDA tool

• Chip integration, simulation, synthesis, power analysis

Education Requirements:

• Master’s Degree or Ph.D. in computer science or equivalent field.

• Master’s Degree or Ph.D. in artificial intelligence, machine learning, computer vision, image processing, natural language processing, signal processing, computer graphics, or equivalent field.

• Bachelor’s Degree

Experience Requirements:

• Knowledge and hands-on experience with high level programming languages, such as C/C++, Python.

• Knowledge and hands-on experience with ML-based image object classification, object detection, and NLP.

Responsibilities:

• Design and develop SDK for a proprietary NeuroMorphic Processor in the AI/ML field.

• Analyze, troubleshoot, design, and develop tests and test-automation suites.

• Perform quantitative analysis on the performance of the developed solutions.

• Provide ongoing maintenance, support, and enhancements in existing software.

Experience Requirements:

• Prior experience (full-time or internship) as software tester / QA Analyst

Other Requirements:

• Must be willing to join as full-time employee

• Knowledge of defect tracking tools such as Jira

• Must know one programming language (Java, Python or JavaScript)

• Database knowledge (Relational or no-sql)

• Good understanding of web and mobile technologies

• Good communication skills

• Abilty to spend time late in the night to match the timing with the other team members

Responsibilities:

• Learn existing platform (LMS)

• Test code changes in each sprint (2 weeks sprint)

• Write test cases

• Work with other team members including development and product teams

Benefits:

• Multisport card

• private health care

• home office equipment budget

• hybrid work model

• unlimited paid days off and sick days policy

Responsibilities:

• Own the core

• Collaborate across teams

• Test planning and risk assessment

• Automate testing

• Collaborate cross-functionally

Benefits:

• Multisport card

• private health care

• home office equipment budget

• hybrid work model

• unlimited paid days off and sick days policy

Experience Requirements:

• 4+ years of experience in backend development, focusing on scalable systems.

Responsibilities:

• Develop scalable and efficient backend systems to support our LLM-based applications.

• Articulate complex AI and backend concepts clearly to both technical and non-technical team members.

• Continuously learn and apply the latest technologies and best practices in AI and backend development.

• Collaborate with AI researchers, data scientists, and engineering teams to achieve shared goals.

Benefits:

• Multisport card

• private health care

• home office equipment budget

• hybrid work model

• unlimited paid days off and sick days policy

Responsibilities:

• Building and Integrating Data-Driven Solutions

• Data Operations and Analysis

• Customer-Centered Innovation

• Intuitive Dashboards and Interfaces

Benefits:

• Multisport card

• private health care

• home office equipment budget

• hybrid work model

• unlimited paid days off and sick days policy

Responsibilities:

• Own the core

• Collaborate across teams

• Optimize for performance

• Set the standard

• Ensure reliability through testing

Benefits:

• Multisport card

• private health care

• home office equipment budget

• hybrid work model

• unlimited paid days off and sick days policy

Responsibilities:

• Develop and refine backend services that power our product while keeping performance, scalability, and reliability top of mind.

• Optimize and maintain backend services that power our product and delight our users.

• Participate in shaping the product and decision-making about its backend architecture.

• Collaborate with other backend developers to get to know the product and discuss tech requirements.

Experience Requirements:

• +3 years of professional work experience

Responsibilities:

• Develop user-facing internal and external applications using Black Forest Labs models and API for various purposes.

• Reason about and develop new user-experiences for next generation AI media models. Build these amazing experiences and neat interfaces in close collaboration with ML research & engineering colleagues.

• Instrument our products with developer-centric tools (e.g. dashboards, evaluation interfaces).

• Maintain and enhance our company website, ensuring it effectively communicates our vision and capabilities; ensure that the website is optimized for performance; testing and debugging the website

Responsibilities:

• Develop and maintain scalable infrastructure for large-scale image and video data acquisition

• Manage and coordinate data transfers from various licensing partners

• Implement and deploy state-of-the-art ML models for data cleaning, processing, and preparation

• Implement scalable and efficient tools to visualize, cluster, and deeply understand the data

• Optimize and parallelize data processing workflows to handle billion-scale datasets efficientlyEnsure data quality, diversity, and proper annotation (including captioning) for training readinessGetting training data from alternative sources such as user preferences into trainable formatWork closely in the model development loop to update data as necessitated by the training trajectory

Responsibilities:

• Design, deploy, and maintain cloud-based ML training (Slurm) and inference (Kubernetes) clusters

• Implement and manage network-based cloud file systems and blob/S3 storage solutions

• Develop and maintain Infrastructure as Code (IaC) for resource provisioning

• Implement and optimize CI/CD pipelines for ML workflows

• Design and implement custom autoscaling solutions for ML workloadsEnsure security best practices across the ML infrastructureProvide developer-friendly tools and practices for efficient ML operations

Responsibilities:

• Develop and maintain robust APIs for serving machine learning models

• Transform research models into production-ready demos and MVPs

• Optimize model inference for improved performance and scalability

• Implement and manage user preference data acquisition systems

• Ensure high availability and reliability of model serving infrastructureCollaborate with ML researchers to rapidly prototype and deploy new models

Responsibilities:

• Finding ideal training strategies (parallelism, precision trade-offs) for a variety of model sizes and compute loads

• Profiling, debugging, and optimizing single and multi-GPU operations using tools such as Nsight or stack trace viewers

• Reasoning about the speed and quality trade-offs of quantization for model inference

• Developing and improving low-level kernel optimizations for state-of-the-art inference and trainingInnovating new ideas that bring us closer to the limits of a GPU

Benefits:

• Early Stock Options

• Growth Opportunities

• Exciting Challenges

Experience Requirements:

• 5+ years in software engineering with a focus on implementing and maintaining secure systems at scale

Other Requirements:

• In-depth knowledge of cloud-native security including AWS/GCP/Azure, IAM, container security, and microservices architecture

• Ability to write maintainable and secure code in Python and other languages such as C#, Java, or JavaScript/TypeScript

• Familiarity with security and compliance frameworks and standards, such as OWASP, PCI-DSS, ISO 27001, SOC 2 Type 2 and GDPR

• Strong ability to identify and mitigate risks in complex environments and systems design

• Outstanding skills in translating technical security concepts across all organizational levels

Responsibilities:

• Safeguard Innovation: Build security for large-scale AI clusters, implementing robust cloud security architecture including IAM, network segmentation, and encryption controls

• Develop Secure Infrastructure: Design secure-by-design workflows across our services and cloud infrastructure, leveraging your expertise in AWS/GCP/Azure security services, Kubernetes security, and container orchestration

• Integrate Security Practices: Embed security into our software development lifecycle, developing security automation tools and performing static and dynamic code analysis to detect vulnerabilities

• Lead Threat Mitigation: Conduct threat modeling to identify potential security threats and vulnerabilities, providing insights and guidance to prioritize remediation efforts

• Mentor and Educate: Provide security training, guidance, and mentorship to engineering teams, fostering a culture of security awareness and excellence

Experience Requirements:

• very good knowledge of Web APIs

• solid as a rock to develop full-stack applications in TypeScript