Experience Requirements:

• Strong public technical videos available for review

• Solid Python skills

• Practical understanding of machine learning concepts

• Strong working level understanding of ML

Other Requirements:

• Native or fully fluent English speaker

• Comfortable and engaging on camera

• Ability to build demo applications independently

Responsibilities:

• Create high-quality, polished technical video content

• Build demo applications in Python to showcase Kumo

• Explain Relational Foundation Models using analogies

• Explain how Kumo differs from LLM-based approaches

• Produce podcast-quality technical videos

Other Requirements:

• Driven and innovative

• Talented individuals whose background doesn't fit existing roles

Education Requirements:

• Bachelor’s, Master’s or PhD in a STEM field

Experience Requirements:

• Strong fundamentals in machine learning, statistics, and data science

• Proven ability to improve ML systems end-to-end

• Proficient developing safe and correct code

• Expertise in Fraud, Risk, or Forecasting (Preferred)

Other Requirements:

• Highly technical with a research mindset

• Strong engineering instincts

• Willingness to travel for strategic customer workshops

Responsibilities:

• Own a domain like fraud/AML, credit risk, or forecasting

• Design and execute rigorous model validation

• Partner with engineering and research to ship platform improvements

• Deliver demos and technical diligence during deal cycles

• Translate customer needs into modeling workflows

Experience Requirements:

• 1+ years in ML/AI product development or software engineering

• Hands-on with embeddings, vector databases, and RAG

• Strong background in deep learning/transformers/foundation models

• Experience with relational data & SQL

• Proficiency in Python and familiarity with data wrangling

Other Requirements:

• Comfortable in an innovation pod or startup environment

• A tinkerer at heart who’s built full‑stack apps

• Collaborative and easy to work with

• Founding Engineer experience (Bonus)

Responsibilities:

• Design, implement, and deploy AI agents for relational/SQL data

• Build user-centric APIs and product surfaces

• Integrate Kumo’s Relational Foundation Model with enterprise data systems

• Develop adaptive, multi-step workflows

• Ensure interpretability and evaluation

Benefits:

• Technically challenging environment

• High-trust role with Nasdaq listed tech company

Experience Requirements:

• 2+ years offensive security / pentesting experience

• Entry level

Other Requirements:

• Strong web & API security fundamentals (OWASP)

• Cloud experience (AWS / Azure / GCP)

• Clear technical reporting

• OSCP or similar (Nice to have)

Responsibilities:

• Manual and automated pentesting of web apps, APIs, cloud and internal systems

• Identify real-world risk and work directly with engineers on fixes

• Support threat modelling and red-team activities

Benefits:

• Competitive salary and benefits

• Flexible and fun work environment

• Global team

• Holiday options based on published company-wide policies

Experience Requirements:

• 3+ years of professional blockchain development experience

• Demonstrated portfolio of deployed smart contracts on mainnet

• Track record of shipping production blockchain applications

• Entry level

Other Requirements:

• Rust and Solidity programming proficiency

• Understanding of smart contract security patterns

• Pass employment background checks

• Experience with version control (Git)

• Kotlin Multiplatform (KMP) programming (Desired)

Responsibilities:

• Lead development and maintenance of smart contract infrastructure

• Architect and implement blockchain solutions across multiple chains

• Conduct code reviews and provide technical guidance

• Collaborate with mobile teams to integrate blockchain functionality

• Research and evaluate blockchain platforms for strategic decisions

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD or equivalent degree in chemistry or another physical science

• PhD or equivalent degree in computational chemistry or machine learning in chemistry (preferred)

Experience Requirements:

• 3+ years of experience

• Familiarity with using statistical analysis techniques to adapt models

• 3+ years of experience working in a drug discovery project (preferred)

Other Requirements:

• Python programming skills

• Knowledge of statistics and drug discovery

• Excellent written and verbal communication skills

Responsibilities:

• Train, fine-tune, and evaluate machine learning models

• Partner with computational and medicinal chemists for decision-making

• Generate value from machine learning models for internal and partner use

• Communicate results with internal drug discovery teams

• Support the evolution of machine learning models with analytical feedback

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• Bachelor’s degree in Accounting, Finance, or a relevant field

• Master’s degree in Accounting, Finance, or a relevant field

Experience Requirements:

• 9–12 years of progressive experience for Bachelor holders

• 6-8 years of progressive experience for Master holders

• Experience with clinical trial accounting and R&D cost tracking (preferred)

• Prior experience overseeing month-end close and financial statement preparation

• Experience with NetSuite (highly desired)

Other Requirements:

• CPA certification required

• Strong working knowledge of U.S. GAAP

• Proficiency in Microsoft Office with advanced knowledge of Excel

Responsibilities:

• Lead and oversee monthly, quarterly and annual close processes

• Conduct complex account reconciliations and oversee the general ledger

• Research and manage technical accounting matters

• Develop, implement and maintain internal controls and SOX compliance

• Lead the preparation of annual audits

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD or equivalent degree in computational chemistry (or related field)

Experience Requirements:

• 5+ years of experience working in an industry drug discovery environment

• Experience supporting active small molecule drug discovery programs

• Experience with ligand and structure based design tools

• Experience with MD simulation and advanced binding affinity prediction methods (preferred)

• Experience with ML-augmented small molecule discovery (preferred)

Other Requirements:

• Python programming skills

• Familiarity with MOE molecular modeling package (preferred)

• Proactive drug-hunter mindset

Responsibilities:

• Apply ligand and structure-based approaches across hit identification and lead optimization

• Guide design cycles through SAR identification and bioactivity data integration

• Partner with medicinal chemists to prioritize virtual libraries

• Partner with ML scientists to integrate SBDD methods with property prediction technology

• Leverage and evolve proprietary protein-ligand co-folding technology

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• BS in Chemistry with 5+ years experience (pharma/biotech)

• MS in Chemistry with 3+ years experience (pharma/biotech)

Experience Requirements:

• Proven skills in multi-step organic synthesis and reaction optimization

• Experience in SAR analysis and scientific presentation

• Prior exposure to high-throughput experimentation (preferred)

• Familiarity with ADME-PK principles (preferred)

• Experience with molecular modeling and structure-based drug design (preferred)

Other Requirements:

• Ability to thrive in a fast-paced, highly collaborative research environment

• Availability to work onsite in San Diego

Responsibilities:

• Design, synthesize, purify, and characterize chemical compounds (10 mg–5 g scale)

• Identify and optimize reaction conditions using screening kits

• Collaborate with the high-throughput experimentation team

• Analyze biological and ADME-PK data using cheminformatics tools

• Partner with computational chemists to leverage machine learning insights

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD in biochemistry, cell biology, cancer biology, pharmacology, or related discipline

• MS with 7+ years of experience

• BS with 9+ years of experience

Experience Requirements:

• At least 2 - 8 years of relevant academic or industry experience for PhD holders

• Experience in cancer research, mechanism of action/resistance, or translational biomarker development

• Hands-on experience in in vivo pharmacology (PK/PD, efficacy studies)

• Oversight and coordination of in vivo studies at CROs

• Proficiency in cell and molecular biology (cell culture, ELISA, Western blotting, qPCR, flow cytometry)

Other Requirements:

• Excellent communication skills

• Ability to work collaboratively across teams

• Highly motivated to learn new technologies

Responsibilities:

• Design and develop translational studies for various programs

• Design and manage in vivo pharmacology studies at CROs

• Design and execute hands-on experiments in cell and molecular biology

• Analyze and interpret data from internal experiments and CRO deliverables

• Conduct literature reviews to support mechanism of action and biomarker strategies

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• Ph.D., M.D., or equivalent advanced degree in cancer biology, molecular biology, pharmacology, computational biology, or a related discipline

Experience Requirements:

• Typically 12–20+ years of relevant experience in biotech or pharma

• Success advancing at least one oncology program into clinical development

• Deep expertise in translational science (biomarkers, MoA, resistance, combination biology)

• Experience working with large, complex translational and/or clinical datasets

• Track record of leading cross-functional teams

Other Requirements:

• Strong working knowledge of AI/ML concepts as applied to drug discovery

• Excellent scientific storytelling and communication skills

Responsibilities:

• Lead Portfolio-Level Translational Strategy

• Define Biomarker & Patient Selection Strategy

• Direct Mechanism of Action, Resistance & Combination Biology

• AI/ML-Enabled Translational & Clinical Prediction

• Build and Lead a High-Impact Organization

Benefits:

• Dedicated training budget

• Flexible work locations

• Team events and celebrations

• Virtual Stock Option Plans (VSOPs)

• Office dogs

Experience Requirements:

• Minimum 3 years in growth marketing

• Experience with landing page creation

• Experience in SaaS marketing

• Fluent in English and German

• Comfortable with data visualization

Other Requirements:

• Resident in the European Union and authorized to work

• Strong knowledge of AI and emerging marketing trends

• Proactive and adaptable personality

Responsibilities:

• Own end-to-end conversion funnel

• Design lead-nurturing sequences

• Develop and analyze A/B tests

• Monitor paid acquisition channels

• Build high-converting landing pages

Benefits:

• bonus

• equity

• medical benefits

• dental benefits

• vision benefits

Education Requirements:

• Masters in Computer Science, Robotics or equivalent with practical experience in robotics and machine learning.

Experience Requirements:

• At least 2 years of experience in motion planning for robotics or classical robot motion planning.

• Solid Experience programming in C++, Python, and ideally Jax.

• Research experience in a related field and at least one high-quality publication in a peer-reviewed academic journal/conference.

Other Requirements:

• PhD in Robotics, Computer Science or a similar technical field.

• Experience with the design and implementation of large, complex machine learning algorithms.

• 4 years of applied experience in machine learning for robotics motion planning.

• Knowledgeable and comfortable in working with physical simulations (e.g., Gazebo, Bullet, MuJoCo, IsaacSim).

Responsibilities:

• Develop new motion planning approaches for single and multi-robot planning, starting from existing prototypes.

• Exploit advances in machine learning for developing novel data-driven motion planning systems.

• Implement state of the art algorithms and libraries in Python, C++, and Jax.

• Bring problems from industrial partners to functional new solutions with very high reliability and performance.

• Distill recent robotics/ML research publications for target problems and implement promising solutions.

Benefits:

• Competitive compensation package including equity and biannual bonuses

• Excellent Medical, Dental, and Vision plans

• Flexible PTO

• Free catered lunch and fully stocked kitchen

• Fidelity 401(k)

Education Requirements:

• BS, MS, or equivalent experience in Electrical, Mechanical, or Computer Engineering

Experience Requirements:

• 5+ years of hardware development experience

• 5+ years of experience designing PCBAs

Other Requirements:

• Deep understanding of mixed analog and digital circuits

• Experience with low-level hardware buses (I2C, CAN, SPI, UART)

• Experience with high-speed hardware communication interfaces

• Great communicator

• Passion for autonomous vehicles

Responsibilities:

• Design circuits at the schematic level

• Collaborate on power conditioning and regulation circuits

• Design and test standard vehicle communication harnessing

• Design and validate harnessing for low and high speed components

• Validation testing for EMI/EMC

Benefits:

• Competitive compensation package including equity and annual bonuses

• Excellent Medical, Dental, and Vision plans

• Flexible PTO and 10 paid holidays

• Free catered lunch and fully stocked kitchen

• Fidelity 401(k)

Other Requirements:

• Understanding of network protocols (TCP, UDP, PTP)

• Experience with lidars, cameras and radars

• Familiarity with high throughput storage and database systems

• Knowledge of performance optimization tools

• Experience using Bazel

Responsibilities:

• Collaborate to build Kodiak real-time operating system

• Design and implement core infrastructure and libraries using modern C++

• Build highly reliable and performant compute and network systems

• Work closely with next generation sensors

• Gather metrics and optimize operation of autonomous systems

Benefits:

• Competitive compensation package including equity and annual bonuses

• Excellent Medical, Dental, and Vision plans

• Flexible PTO and 10 paid holidays

• Free catered lunch and fully stocked kitchen

• Fidelity 401(k)

Education Requirements:

• BS or MS in Computer Science, Electrical Engineering, or Computer Engineering

Experience Requirements:

• 8+ years of software development experience

• Extensive programming experience in C++

Other Requirements:

• Deep knowledge of embedded programming platforms

• Understanding of networking fundamentals

• Experience with low level hardware buses

• Experience with high speed hardware communication

• Hands on ability

Responsibilities:

• Collaborate with hardware EE on design and test

• Collaborate on software architecture, optimizations and reviews

• Contribute to hardware specifications

• Participate in hands-on hardware bring-up

• Debug common truck functions on vehicles

Benefits:

• Competitive compensation package including equity and annual bonuses

• Excellent Medical, Dental, and Vision plans

• Flexible PTO and 10 paid holidays

• Free catered lunch and fully stocked kitchen

• Fidelity 401(k)

Education Requirements:

• BS or MS in Mechanical or Electrical Engineering

Experience Requirements:

• 6+ years of experience in autonomous vehicle or automotive industry

Other Requirements:

• Strong system analysis and problem solving skills

• Hands on with wrenches and automotive electronics

• Experience with Python or Matlab

• Understanding of Linux and computer networking

• CAD experience

Responsibilities:

• Own integration, troubleshooting and build events

• Coordinate and execute builds with cross functional teams

• Provide Design-For-Manufacturing and Serviceability feedback

• Inspect hardware quality and resolve issues

• Collaborate to develop vehicle and subsystem BOMs

Benefits:

• Competitive compensation package including equity and annual bonuses

• Excellent Medical, Dental, and Vision plans

• Accrued PTO and 10 paid holidays

• Free catered lunch and fully stocked kitchen

• Fidelity 401(k)

Experience Requirements:

• 5+ years of experience working in an R&D or development lab environment

• Experience with prototype builds and testing

• Experience reading and building harnesses from drawings

Other Requirements:

• Comfortable using soldering iron, multimeter, and crimping tools

• Good interpersonal skills

• Self-motivated

• Ability to make timely decisions

Responsibilities:

• Build high quality harness assemblies

• Perform incoming quality inspection for CM harness builds

• Organize and manage prototype test setups/fixtures

• Perform testing on electrical components and assemblies

• Perform soldering, mechanical assemblies, and subsystem builds

Benefits:

• Competitive compensation package including equity and annual bonuses

• Excellent Medical, Dental, and Vision plans

• Flexible PTO and 10 paid holidays

• Free catered lunch and fully stocked kitchen

• Fidelity 401(k)

Experience Requirements:

• New grad or early career

Other Requirements:

• Strong C++ skills

• Problem-solver and critical thinker

• Flexibility to work across domains

• Ability to write clear and concise documentation

• Team player

Responsibilities:

• Write modern C++ in a production environment

• Collaborate with engineers across perception, ML, planning, controls, and simulation

• Develop new features and behaviors for driverless trucks

• Optimize performance and reliability for real-time applications

• Think creatively and resourcefully to solve problems