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.

Benefits:

• Meaningful equity

• Fully paid health care

• Sweet off-sites

• Mobile phone service paid

• Unlimited PTO

Experience Requirements:

• At least 3 years of experience as a software engineer

Other Requirements:

• Fluent in computer science fundamentals and architecture design patterns

• Familiarity with React and Python

• Familiarity with JVM languages - Java, Scala, scripting languages - Node.js, Typescript

• Experience implementing and working with message queue systems (Redis, Kafka, MQTT)

• Experience with relational transactional databases (postgres, mysql), data warehouses (Google BigQuery, Snowflake, Databricks, Redshift, Clickhouse) and other analytical systems

• Some expectation of on-call platform support

Responsibilities:

• help implement and bring to market core features on Zing Data’s platform for GenAI business intelligence that is collaborative, easy, and works on iOS, Android and the web

• working on interesting features on our query intelligence, distribution engine that help our users get near instant response times.

• work with the latest GenAI models like OpenAI, Google Gemini, Meta's LLAMA and Anthropic to build amazing user experiences that make complex data analysis as easy as asking a question.

Benefits:

• competitive compensation

• sweet offsites

• company-provided health insurance

• mobile-phone reimbursement

• culture of learning and growth

Experience Requirements:

• 3+ years of experience designing mobile and web applications which are are used at scale

Other Requirements:

• Familiarity with responsive design

• Strong familiarity with Figma, Photoshop, CSS, HTML, and ideally After Effects

• Working knowledge of data (querying, visualization, SQL, etc.)

• A great portfolio

• Extreme ownership - you're driven to proactively solve problems, learn new things, and work hard to hit ambitious targets

• A great time player - you work well with others while productively pushing everybody to do their best work

Responsibilities:

• help re-imagine how people use and understand data on mobile and the web.

• design whole new ways for people to query data, create visualizations, and collaborate with data.

• create never-seen-before interactions that delight and inform users and take things that are hard (complex queries, joins, statistical significance) and make them simple and beautiful.

Experience Requirements:

• 5+ years’ experience in a client facing role - preferably at a SAAS organization. Gen AI experience a plus

• Renewal experience required, experience in a quota carrying role a plus.

Other Requirements:

• Positive attitude and remarkable ability to build rapport from initial conversation and throughout the client lifecycle: onboarding, implementation, support, and renewal.

• Hunger to work in a hyper-fast paced and ever-changing environment (progress in AI changes daily!). Startup experience a plus

• Superior organization and prioritization skills, along with focused attention to details

• Technical attitude, including general knowledge pertaining to web, analytics and tracking, CMS platforms such as Planhat/Churnzero, and APIs.

• Experience working with internationally distributed teams a must

• CS Operations experience a plus

• Digital/Scaled Customer Success experience a plus

• English - native level required, other language(s) proficiency is a plus

Responsibilities:

• Successfully and consistently deliver ROI and value for our customers, consulting their business while leveraging D-ID solutions.

• Build strong relationships with clients based on your ability to earn their trust and deliver. Your goal is to be a trusted advisor in the Gen AI space.

• Simultaneously and successfully manage multiple client relationships, fully owning a book of business representing 20+ enterprise accounts.

• Proactively identify business goals and pain points, and opportunities where you can deliver even greater value for our clients through regular meetings, QBR’s, and onsite meetings.

• Analyze key account statistics and performance metrics to identify pain points, while educating clients to drive performance. Use data to make strategic decisions, both internally and externally.

Experience Requirements:

• 5+ years of experience as a Product Manager in a SaaS company and additional experience focusing on Product-Led Growth (PLG) or B2C motions.

Other Requirements:

• Proficiency in analytics tools such as Mixpanel, Amplitude, or Heap.

• Experience with in-app communication platforms like Chameleon, Appcues, or Userflow.

• Strong understanding of A/B testing methodologies and experimentation frameworks.

• Data-driven decision-maker with strong analytical skills and problem-solving abilities.

• Strong communication skills to effectively collaborate with stakeholders and convey growth strategies.

• Hands-on, team-oriented mindset, with the ability to drive initiatives from ideation to execution.

• Familiarity with tools such as Stripe, HubSpot, Salesforce, or Auth0 (a plus).

• Experience in working on pricing and packaging (a plus).

Responsibilities:

• Conduct in-depth data analysis to identify user behavior patterns and uncover growth opportunities.

• Build and maintain a robust growth infrastructure to support scalable user acquisition, activation, engagement, and retention.

• Define and prioritize growth initiatives, collaborating with R&D, Marketing, Sales, and Support to implement effective strategies.

• Identify and implement in-product strategies to improve user activation, engagement, and retention.

• Develop and execute A/B testing plans to optimize user experiences and improve key performance indicators (KPIs). Oversee user communication channels, including emails, in-app messages, and notifications, ensuring consistent and engaging messaging.

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.

Benefits:

• Offers Equity

Benefits:

• Offers Equity

Benefits:

• Offers Equity

Education Requirements:

• MS in Computer Science, Electrical Engineering, or related field

Experience Requirements:

• 3+ years of software engineering experience.

Responsibilities:

• Develop and deploy scalable web applications including front-end and back-end services.

• Design and implement data analytics and reporting tools for R&D as well as business uses.

• Design and implement high-performance, high-availability distributed data pipelines and services in cloud environments.

• Build and maintain distributed systems that can handle large volumes of data in real-time.

Education Requirements:

• MS in Computer Science, Electrical Engineering, or related field

Experience Requirements:

• 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems.

Responsibilities:

• Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale.

• Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks.

• Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability.

Education Requirements:

• Degree in CS, ME, EE, Mechatronics or related field.

Experience Requirements:

• 3+ years experience developing safety critical embedded systems.

• 5+ years experience in automotive systems development or similar

Responsibilities:

• Work in coordination with global engineering teams to define vehicle-level self-driving requirements.

• Define system reliability and robustness requirements for the autonomous ECU, sensor set and electrical interfaces.

• Conduct Hazard Analysis & Risk Assessment (HARA) reviews of autonomous systems/features.

• Conduct Failure Mode and Effect Analysis (FMEA) reviews of autonomous systems/features.

Education Requirements:

• Masters Degree in Computer Science, Mechatronics, Electrical Engineering, or a related field.

Experience Requirements:

• At least 3 years of hands-on experience in RTOS, including AUTOSAR and FreeRTOS.

Responsibilities:

• Implement requirements and designs for automotive software components related to communication, diagnostics, cybersecurity, operating systems, or bootloaders or AUTOSAR.

• Work in RTOS, linux kernel, and C/C++ SW stack layers responsible for our functional safety and security concept.

• Integrate RTOS components, conduct profiling, tracing, and systematic error analysis.

• Configure, generate, and integrate AUTOSAR modules on different microcontroller platforms.

Education Requirements:

• MS (with 5+ years of relevant experience) or PhD (with 2+ years) in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.

Experience Requirements:

• Extensive experience applying deep learning techniques to time series forecasting and data analysis.

• Strong understanding of conventional vehicle dynamics modeling.

Responsibilities:

• Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques.

• Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy.

• Integrate the data-driven models into simulation pipelines with seamless compatibility.

• Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates.

Education Requirements:

• MS or PhD in Computer Science or equivalent practical experience

Experience Requirements:

• 7-10 years of experience building data-driven, fault-tolerant systems

• Proven record of delivering a DL based system

Responsibilities:

• Develop safety-critical software for self-driving vehicles by leading, managing, and expanding a team focused on the motion forecasting & planning.

• Assume responsibility for the overall planning, execution, and success of autonomous driving related projects Actively code and develop prototypes to test novel algorithms and ideas.

• Foster a culture of experimentation and innovation, while promoting technical excellence and accountability within the team.

Education Requirements:

• BS, MS, or PhD in Software, Robotics, or related field

Experience Requirements:

• 4+ years of machine learning engineering experience for robotics applications

Responsibilities:

• Use complex map and perception sensor output to develop novel deep learning models for our planning stack.

• Design critical safety checks to ensure driving trajectories are feasible and follow rules of road.

• Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments.

• Track and incorporate the latest multidisciplinary research advancements in a fast-moving field.

Education Requirements:

• MS or PhD in Computer Science, Electrical Engineering, Robotics, similar technical field of study, or equivalent practical experience

Responsibilities:

• Develop 3D visual reconstruction of highway and urban driving scenarios including static scenes and dynamic objects

• Identify unique and high-value driving scenes to maximize data labeling efficiency, class distribution imbalance (long-tail) challenges in autonomous driving

• Develop a distributed and automated pipeline for large scale scene reconstruction and automatic label generation

• Curate high-quality dataset for autonomous driving scenarios and design robust evaluation metrics

Education Requirements:

• BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering or related fields

Experience Requirements:

• 3+ years of industry experience

• Experience with AI inference computing optimization, quantization, model pruning techniques

Responsibilities:

• Deploy, optimize and accelerate machine learning models on various computing platforms from e.g. Nvidia, TI, Ambarella etc

• Implement compiler support to maximize inference performance

Experience Requirements:

• Experience with multi-modal detection fusion and tracking algorithms

• Strong understanding of computer vision and perception systems

Responsibilities:

• Design and implement detection fusion and tracking algorithms to improve perception performance in real time and offline pseudo-label generation using a combination of camera, radar and lidar data

• Benchmark and evaluate perception performance using quantitative metrics and testing methodologies

• Identify, troubleshoot, and resolve real-world perception issues encountered in autonomous driving scenarios