AI Jobs

Experience Requirements:

• 1+ years

Experience Requirements:

• 3+ years

Education Requirements:

• B.Sc. or M.Sc. in Computer Science or a related engineering field from a recognized institution.

Experience Requirements:

• 5+ years of experience delivering impactful and complex software projects.

• Advanced expertise in JavaScript.

Responsibilities:

• Lead architectural decisions and define the technical vision for our SDKs.

• Own the end-to-end product lifecycle of complex JavaScript libraries that interface with test frameworks, user applications, and server APIs.

• Design APIs and protocols with a focus on asynchronous flows and performance optimization.

• Research and integrate with popular test automation frameworks (e.g., Playwright, Cypress, Puppeteer, WebDriver.io, Selenium, TestCafe, Mocha, Jest).

• Innovate with browser and DOM hacking using Chrome DevTools Protocol (CDP) and WebDriver.

Education Requirements:

• BSc/ Eng level or higher qualification or above in mechatronics engineering from a respected organisation

Experience Requirements:

• 2+ years’ experience in the field.

Responsibilities:

• Awareness and knowledge of sensors, communication technologies, or control devices for various automation solutions

• Design, develop, or implement control circuits or algorithms for electromechanical or pneumatic devices or systems

• PLC programming for embedded logic programming

Education Requirements:

• ITE/Diploma level qualification in Robotics/ Computing/ electrical/mechanical or any other related subject

Experience Requirements:

• 1+ years proven professional hands-on experience.

Responsibilities:

• Support team lead with integration, calibration, and verification test

• Perform continues tests / data collection as per test plans.

• Monitor system behavior during tests and recording observations and issues.

• Perform trouble shooting and root cause analysis for observation

Education Requirements:

• Relevant certifications, Degree or Diploma in Operations Management or Office administration or related fields

Experience Requirements:

• 2-3 years’ experience in procurement, office administration, operation coordination or a similar role or experience

Responsibilities:

• Plan and organise internal meetings, conferences and client visits including securing meeting rooms, arranging catering and ensuring all equipment’s is ready and operational

• Responsible for day to day operations of office activities such as handling of office supplies, managing mail and deliveries and supporting colleagues with general administrative tasks

• Manage the asset and equipment tracking, organisation and replenishment of supplies, ensuring accurate inventory tracker for effective asset governing

Education Requirements:

• Bachelor’s Degree or above

Experience Requirements:

• 3+ years of enterprise software sales experience

• Demonstrated track record in achieving sales targets

Other Requirements:

• Good presentation & written skills in English

• Able to demonstrate good understanding of operational as well as sales closing processes

• Self-motivated, energetic, and organized

• Flexible and able to work under pressure

Responsibilities:

• Drive sales cycles to achieve sales targets

• Develop and nurture relationships with customers

• Engage prospects to understand their requirements and recommend suitable solutions

• Perform presentations, demos, proposal development and other sales activities

• Work closely with partners when necessary to align solution designs with client’s business requirements Keep up to date on relevant competitive products & solutions

Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development, with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups.

Experience Requirements:

• 8+ years of hands-on experience with PySpark and strong knowledge in Python programming language.

Responsibilities:

• Strong proficiency in developing data solutions using Python (OOP).

• Solid understanding of distributed computing concepts and hands-on experience with PySpark.

• Familiarity with PySpark performance tuning will be an added advantage.

• Familiarity with data warehousing solutions and best practices.

• Proficient in SQL with the ability to optimize queries for performance & proficient in database management and data modelling.

Benefits:

• 식대지원

• 장비지원

• 스톡옵션

• 자기계발지원

Experience Requirements:

• 2-5 years

Benefits:

• Flexible Work – Hybrid or fully remote options based on location

• Team Gatherings – Annual company-wide kickoff events and ongoing team activities

• Career Growth – Training bonuses for AWS certifications and other learning opportunities

• Performance Bonuses – Company-wide annual bonus program

• Referral Rewards – Earn up to €1,000 for referring new hires

Experience Requirements:

• Experience with backend development using Python

• Deep knowledge of AWS cloud services and infrastructure

• Proficiency in monitoring and observability tools (Prometheus, Grafana, CloudWatch, ELK stack)

• Hands-on experience with Apache Kafka (MSK) and NoSQL databases (DynamoDB)

• Background in Site Reliability Engineering (SRE) or a similar role

Other Requirements:

• Strong problem-solving skills and attention to detail

• Fluent English (spoken and written) to collaborate with an international team

Responsibilities:

• Ensure reliability, performance, and scalability of large-scale production systems

• Troubleshoot complex issues and manage monitoring and alerting systems

• Develop backend solutions in Python to improve system efficiency

• Implement automation to optimize operations and reduce manual intervention

• Work extensively with AWS services, Apache Kafka, and NoSQL databases

Experience Requirements:

• 3+ years in a testing organization/ department with experience in functional, automation, and performance testing

Responsibilities:

• Review system requirements and track quality assurance metrics

• Implement tests, debug, and define corrective actions

• Understand customer’s project and implement the same scenario using the Appvance platform

• Architect and design complex testing scripts in a short time frame

• Document new processes and keep existing documents updated

Education Requirements:

• Currently enrolled in a PhD program in Computer Science, Machine Learning, or related fields.

Responsibilities:

• Lead a research project, which will be broadly focused on a problem related to generative or predictive modeling of molecular systems.

• Navigate the latest deep learning literature, extracting insights from generative modeling in adjacent domains (language, images, 3D graphics, etc.), develop novel models and training techniques for molecular data, and communicate your findings to the team.

• Carefully design and run experiments at scale to validate most promising approaches and hypotheses.

Benefits:

• Competitive compensation package that includes salary and equity.

• Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees).

• 401(k) plan.

• Open (unlimited) PTO policy.

• Free lunches and dinners at our offices.

Responsibilities:

• Lead transformative research projects that enhance the Genesis AI platform's capabilities, focusing on generative models for molecular systems.

• Navigate the latest deep learning literature, extracting insights from generative modeling in adjacent domains (language, images, 3D graphics, etc.), develop novel models and training techniques for molecular data, and communicate your findings to the team.

• Carefully design and run experiments at scale to validate most promising approaches and work closely with engineers to ship state-of-the-art models to production.

• Contribute to the research community by publishing some of our findings in the form of research papers and blog posts at top tier AI/ML venues (NeurIPS, ICML, ICLR, etc.), attending conferences and workshops, and engaging in continuous learning and knowledge exchange.

Education Requirements:

• PhD in Computer Science, Machine Learning, Physics, or a related field.

Experience Requirements:

• 4+ years of professional experience in machine learning research, with at least 1+ years in a tech or people leadership role.

Responsibilities:

• Develop and implement the strategic vision for the ML Research group, ensuring alignment with company goals.

• Serve as a thought leader in state-of-the art ML research, using the latest approaches in diffusion models, equivariant neural nets and predictive ML

• Guide the team in designing, implementing, and validating novel machine learning models tailored to drug discovery challenges, including molecular property prediction, generative modeling, and protein-ligand interactions.

• Prioritize and balance short-term project deliverables with long-term foundational research initiatives.

• Ensure high standards of scientific rigor and reproducibility in research outputs.

Education Requirements:

• PhD in Computer Science, Machine Learning, Physics, or a related field.

Experience Requirements:

• 4+ years of professional experience in machine learning research, with at least 1+ years in a tech or people leadership role.

Responsibilities:

• Develop and implement the strategic vision for an ML Research team, ensuring alignment with company goals.

• Serve as a thought leader in state-of-the art ML research, using the latest approaches in diffusion models, equivariant neural nets and predictive ML

• Guide the team in designing, implementing, and validating novel machine learning models tailored to drug discovery challenges, including molecular property prediction, generative modeling, and protein-ligand interactions.

• Prioritize and balance short-term project deliverables with long-term foundational research initiatives.

• Ensure high standards of scientific rigor and reproducibility in research outputs.

Education Requirements:

• Bachelor's degree in Business Administration, Marketing, or related field preferred.

Experience Requirements:

• 2+ years of experience in inside sales or related fields.

• Must have worked with SAAS companies selling to the US market

Responsibilities:

• Reach out to potential customers via phone, email, and other digital channels to sell our products or services.

• Develop and maintain relationships with customers to build long-term partnerships.

• Conduct research to identify potential customers and understand their needs.

• Explain the features and benefits of our products or services to customers and address any questions or concerns they may have.

• Close sales and achieve weekly and monthly sales targets.

Benefits:

• A competitive salary based on your experience.

• Above the market stock options—we give generous equity rewards to employees who buy into our mission and think long-term.

• We will invest in what you need to be at your best—whether it’s a standing desk, an ergonomic chair, or continuing education.

• The chance to tackle the most interesting and impactful problems and build everything from zero to one—there’s absolutely no boredom!

Experience Requirements:

• Proficient in React / Typescript with 6+ years of experience

• Extensive experience with collaborative editor tools or similar productivity tools

• Experience with CI/CD pipelines

• Familiar with CRDT and Yjs

Other Requirements:

• Plus: experience with Rust / Go / C++

• Plus: experience with backend development

• You are mission-driven. You are a great team player and a self-starter. You dream big, start small, and move fast.

• You are passionate about AppFlowy and open-source.

• Great communication skills. We work asynchronously by default.

Responsibilities:

• You’ll be building features from scratch and have full ownership over the whole process.

• You’ll wear many hats and jump between frontend, backend, product, operations and developer advocate.

• You’ll write high quality and well-documented code.

• You’ll perform code reviews and collaborate with others in the wider community.

• You’ll receive feedback from the best developers from all over the world.You’ll become an expert on collaborative software and a leader in open source.

Experience Requirements:

• Prior experience as an Office Manager in a startup environment

Responsibilities:

• Lead all aspects of office management, serving as the primary point of contact for the BFL HQ in Freiburg, Germany

• Create and nurture a positive work environment that embodies our company culture and transforms our office into a hub of productivity

• Coordinate with various teams and stakeholders, including our CEO, Chief of Staff, our research team, and the business teams

• Manage vendor relationships (food services, maintenance, cleaning) and office access

• Streamline office logistics, oversee office inventory, shipping, mailing, and delivery operationsSupport with the organization of company events and activities to strengthen our community

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:

• 4+ Years Exp.

• Programming Languages: Python, R, or Java

• Data Analysis and Modeling: sci-kit-learn, TensorFlow, PyTorch

• Database and Data Manipulation: Big data technologies like Apache Spark

• Data Visualization: Tableau, Matplotlib, or Seaborn.Data Engineering: Understanding of data pipeline architecture and development.Machine Learning Deployment: Knowledge of deploying machine learning models into production. | Docker

Responsibilities:

• Data Science Engineer I - Analyze data, drive insights, and innovate solutions