AI Jobs

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

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

Experience Requirements:

• 3+ Years Exp.

• Technology Proficiency: Familiarity with CRM

• Research and Analytical Skills: Proficient in conducting market research

• AI and Automation Skills: Familiarity with AI tools and technologies for sales, such as AI-driven lead scoring and predictive analytics.

• Sales Acumen: Understanding of basic sales principles and strategies.Customer Focus: Ability to understand customer needs and tailor communication accordinglyTeam Collaboration | Self-Motivation | Communication Skills

Responsibilities:

• Fueling Growth Through Proactive Sales Outreach and Engagement

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:

• 0.1% - 0.5%

Experience Requirements:

• 3+ years

Benefits:

• 0.15% - 0.75%

Experience Requirements:

• 3+ years

Education Requirements:

• BS or MS in Computer Science or Electrical Engineering

Experience Requirements:

• 5 years of Design Verification experience

Other Requirements:

• Great debugging and problem-solving skills

• Deep knowledge of SystemVerilog testbench language, DPI and UVM

• Excellent programming skills and knowledge of software engineering practices including object-oriented design

• Experience developing scalable and portable testbenches and components

• Experience with verification methodologies and tools such as simulators, waveform viewers, build and run automation, coverage collection, gate level simulations

• Proficient in a scripting language such as Python or Perl

• Good interpersonal skills and ability & desire to work as a standout colleague are a must

• Extremely self-motivated and eager to solve problems

Responsibilities:

• Work with RTL designers and software engineers to ensure a high-quality design that works first silicon

• Develop detailed test and coverage plans based on the micro-architecture

• Create verification methodologies and reusable environments, including components such as stimulus, checkers, assertions, and coverage

• Write tests, manage regressions, gather coverage, and debug test failures

Experience Requirements:

• 5+ years of physical design/verification experience

Other Requirements:

• Strong knowledge of block level and full-chip physical verification methodology

• Expert at optimizing for the best power/performance and area

• Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus.

• Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues

• Expert with IR/EM analysis and resolution

• Good understanding of full chip floorplanning and integration

• Strong ability in scripting languages like Tcl and Python. Ability to make flow enhancements

• Demonstrated ability to work with RTL teams to optimize for physical design

Responsibilities:

• synthesis, place and route of our most critical processing element blocks

• all aspects of physical design and implementation

• work closely with the RTL team and with full-chip integration of these blocks

Education Requirements:

• B.S. degree

Experience Requirements:

• 5+ years of software development experience

• 3+ years of collaborative development in Python/SQL or similar languages

Other Requirements:

• Working with Git, Continuous Integration (Jenkins) and Agile development processes

• Writing high quality testable code and following good software practices

Responsibilities:

• Design and implement a robust framework for visualizing and analyzing complex datasets

• Generate insights from data and translate them into actionable recommendations

• Collaborate with cross-functional teams to understand their data needs and provide solutions

• Ensure data quality, integrity, and consistency throughout the analysis process

• Query time series data via SQL and post process using Python

Education Requirements:

• Bachelor's degree in computer science, mathematics, or related field

Experience Requirements:

• 2+ years of backend engineering experience, including advanced database operations with SQL

• 2+ years of software development experience with Python, including agile development practices (e.g. issue lifecycle management, change control, code review)

Other Requirements:

• Experience with a variety of technologies and ability to pick the right tool for the job

• Ability to communicate and collaborate with cross-functional partners on data processing and analysis projects

• Ability to bring thoughtful perspectives, creativity, and a positive attitude to solve problems at scale

Responsibilities:

• Develop and maintain highly reliable data processing pipelines using Python, SQL, and various technology platforms such as Airflow and the ELK stack

• Manage, analyze, and serve ever-increasing volumes of high-quality data using backend databases such as PostgreSQL and MySQL and frontend tools such as Grafana, Jupyter, and Redash

• Continuously improve the efficiency and effectiveness of Cerebras hardware manufacturing by taking ownership of data from end to end

• Partner with hardware and system engineers to translate data insights into effective decision making while identifying opportunities for automation

• Continually evaluate team processes to maintain an efficient and performant data-driven engineering culture

Experience Requirements:

• 4+ years

• 3+ years

• 8+ years

• 1-2

• 1 to 4 years

Experience Requirements:

• 8+ years

Experience Requirements:

• 1-2