Experience Requirements:

• minimum of 5+ years of hands-on experience in Data Analytics & Supply Chain.

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

Experience Requirements:

• 3+ years of experience in GRC, Audit, Information Security, or similar roles

• 3+ years working in a SaaS environment (AWS)

Other Requirements:

• English native speaker

Responsibilities:

• Own the development and implementation of GRC frameworks, policies, and procedures

• Ensure compliance with key regulations and standards (ISO 27001, SOC2, HIPAA, GDPR)

• Handle security questionnaires and InfoSec documentation for prospects and customers

• Lead internal and external audit processes across multiple security frameworks

• Design and deliver comprehensive security awareness training programs

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience).

Responsibilities:

• Develop and maintain web scraping scripts to extract data from a variety of sources.

• Collaborate with the data team to understand data requirements and implement effective scraping strategies.

• Conduct data quality assessments to ensure the accuracy and reliability of scraped data.

• Optimize scraping processes for efficiency and performance.

• Troubleshoot and resolve issues related to data extraction and scraping. Implement data storage and management solutions using SQL databases, Git, Redis, and Elasticsearch.

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:

• 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

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

Experience Requirements:

• 4+ Years Exp.

• Product Management Skills: Experience in product management, preferably in a technology or AI-related field.

• Decision Science Expertise: Experience in designing algorithms and models to support decision-making processes.

• AI and Machine Learning Knowledge: TensorFlow, PyTorch, or scikit-learn

• Data Analysis and Statistics:Technical Proficiency: Python, R, or JavaCommunication and Leadership | Business Acumen | Problem-solving and Critical Thinking

Responsibilities:

• Product Manager specializing in Decision Science for data-driven innovation

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