AI Jobs

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

Experience Requirements:

• 3+ Years Exp.

• DevOps Skills: CI/CD Pipeline | Terraform or CloudFormation | Ansible, Puppet, or Chef | Docker and Kubernetes | Git

• Big Data Technologies: HDFS, MapReduce, Hive, Pig, Spark | Cassandra, MongoDB, HBase | Apache Kafka

• Programming and Scripting: Java, Python, or Scala

• Cloud Platforms: AWS, Azure, or Google Cloud | AWS EMR, Azure HDInsightSecurity: Knowledge of security best practices for infrastructure and dataProblem-Solving and Troubleshooting

Responsibilities:

• Big Data DevOps Engineer specializing in data infrastructure and operations

Experience Requirements:

• 2+ Years Exp.

• AI and Machine Learning Expertise: TensorFlow, PyTorch, etc

• Engineering Leadership: Experience in a leadership role, preferably as an Engineering Manager.

• Technical Proficiency: Python, Java, or R | SDLC

• Platform Development: Knowledge of distributed systems and scalability considerations for AI applicationsAgile Methodology: Experience with Agile development methodologies.Communication Skills | Problem-solving and Innovation | Collaboration | Decision Making

Responsibilities:

• Manager leading AI Platform engineering for innovation and growth

Experience Requirements:

• 4+ Years Exp.

• AI Expertise: NLP, computer vision | AI, ML | TensorFlow, PyTorch, or scikit-learn

• Programming Languages: Python, Java, C++, and others relevant to systems engineering and AI development.

• Data Management: Hadoop, Spark, MongoDB, SQL

• Infrastructure and DevOps: Docker and container orchestration with Kubernetes.Problem-solving and Analytical Skills: Ability to troubleshoot complex technical issues and provide effective solutions.Communication and Collaboration | Security and Compliance | Adaptability and Learning

Responsibilities:

• Experienced professional in systems engineering, specializing in senior-level responsibilities

Benefits:

• Free gym benefit

• Free lunches and fancy espresso machine in the office

• Company events including happy hours, sauna/cold plunge wellness retreats, Barrys bootcamp, and snow trips

Experience Requirements:

• 3+ years

Responsibilities:

• Architect and build cutting-edge AI data extraction systems

• Work directly with customers to tackle their toughest data challenges often with creative solutions

• Push the boundaries of AI tech and stay on the cutting edge of LLM developments.

• Own projects end-to-end from working with founders or customers on the product proposal, architecting, building, evaluating and testing, shipping to prod, and integrating with customers