Benefits:

• Health, dental & vision benefits

• Flexible work environment

• Unlimited vacation

• Stock option grants

Experience Requirements:

• Confidence in building new products

• Experience mentoring others

• Excellent verbal and written communication skills

• Passion for learning new things

• Proven Experience with Language Models and NLP Techniques: Applicants must demonstrate experience working with large language models (such as Llama 2, Mistral, or similar architectures), including fine-tuning, and deploying models for various applications. Expertise in NLP techniques for text analysis, generation, and understanding is required.Experience with Vector Databases: Candidates must have experience with vector databases such as Pinecone, or PGVector, and possess familiarity with techniques for efficient vector search and similarity scoring. Knowledge of integrating these databases into applications in semantic search, recommendation systems, or content discovery using embeddings from language models is required.Strong Programming Skills: Proficiency in programming languages such as Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) is essential. Experience with software development best practices, including version control (Git), code review, and CI/CD pipelines, is also necessary.Data Handling and Model Optimization: Experience in handling large datasets, preprocessing data, feature engineering, and optimizing models for performance and efficiency. Knowledge of parallel computing, GPUs, and cloud services (AWS, Google Cloud, Azure) for scalable model training and deployment is a plus.Collaboration and Problem-Solving Skills: Ability to work effectively in a team, collaborating with data scientists, software engineers, and product managers to integrate LLMs into products and services. Strong analytical and problem-solving skills, with the capability to tackle complex challenges and drive innovation in LLM technology

Responsibilities:

• Help build out our real-time LLM solutions

• Scale vector databases

• Productize and provision solutions from our research team

• Bring inventions into production

• Design and measure AI quality and evaluation metrics

Benefits:

• Diversity

• Appreciation

• Equality

• Numerous training and development opportunities

• Flexible working hours (some positions)

Education Requirements:

• PhD in physics, mathematics, material sciences, electrical engineering or a related natural or technical science

• Master's/Diploma in natural sciences (e.g. Computer Science, Mathematics, Physics) or related field

• Bachelor's or Master's degree in informatics, mathematics, physics or engineering science

• currently enrolled in university scientific studies in aerospace/electrical engineering, computer science, or a comparable field

• advanced studies in Mechanical Engineering, Aerospace Engineering, Industrial Engineering, Data Sciences, or comparable programs

Experience Requirements:

• practical research experience (at least 3 years) in (Cyber) Security, e.g. through a doctorate or other demonstrable research activities

• experience in machine learning

• Experience with Front-End development

• 3D-Finite Element Modeling and Multiphysics Simulation

• extensive experience in programming a common language (Python, MATLAB, C/C++, etc.)

Other Requirements:

• good communication and cooperation skills

• proficiency in English (spoken and written)

• enthusiasm, motivation and creativity

• good expertise in object-oriented software development with C++ and Python

• previous contact with machine-learning frameworks (e.g., PyTorch, Tensorflow, Caffe, …)

• experience with image processing methods (e.g., OpenCV)

• good knowledge in creating 3D assets with Blender

• basic programming skills in Python, C++ or C#

• Initial practical experience developing applications in VR/AR environments

• Knowledge in software engineering

• Experience with Typescript or REST API

• Basic knowledge of modern cryptography, preferably with initial exposure to homomorphic encryption

• Good programming skills in languages such as Python and JavaScript

• Interest in cryptographic issues and working in security-critical areas

• Teamwork skills, independent working style, and commitment

• Fluent in German and English (spoken and written)

• very good Python skills (LangChain, Ollama, embeddings, Chroma, …)

• understanding of general aviation technology and flight operations

• knowledge and experience in the area of machine learning

• knowledge and experience in software engineering (e.g., Git, Unit Tests)

• travel readiness

• willingness for security check (if necessary)

Responsibilities:

• Development of new ML-models for pose estimation

• Evaluation of the robustness and reliability of ML-models

• Development and optimization of front-end components for managing data spaces

• Integration of interfaces for seamless data integration and presentation

• Development and implementation of user-centered UX/UI designs for data spaces

Benefits:

• Hybrid & flexible work culture

• Globally distributed team

• Health, Dental, Vision, and a 401k program

• Opportunities for professional development

Benefits:

• 20 vacation days

• Day one health benefits

• Unlimited sick days

• Stock options

• Free lunch once a week

Education Requirements:

• Computer Science, Engineering or related degree, preferably MS or PhD

Experience Requirements:

• 2+ years of related experience

Other Requirements:

• Thorough understanding of deep neural nets

• Experience developing the internals of modern optimizing compilers

• Understanding of advanced optimization techniques

Responsibilities:

• Build software that maps a neural net onto our hardware

• Devise and implement multiple data layout strategies

• Build a tool that will solve a network layout for a set of constraints within the hardware given the available strategies

• Implement efficient mappings between data layouts

• Evaluate current and proposed hardware architecture for future products

Benefits:

• Flexibility in work location and schedules

• Work in a committed team

• Be part of an international team (30+ nationalities)

• Be your whole self in an inclusive environment

Benefits:

• Workforce development

• Volunteer days off

• Wellness programs

• Personal and holiday time off

• Equal pay and annual pay assessment

Benefits:

• Competitive salary and equity packages

• Health, dental, and vision insurance

• Flexible working hours and remote work opportunities

• Generous vacation and leave policies

• Professional development and career growth opportunities

Benefits:

• Comprehensive health, dental, and vision insurance

• Company-sponsored retirement plan and competitive 401(k) match

• Paid parental leave

• Flexible time off

• Growth and development opportunities, including an annual professional development stipend

Education Requirements:

• Bachelor's degree in Human Resources, Business Administration, or a related field

Experience Requirements:

• 4+ years of experience as an executive assistant in a fast-paced environment.

• You’re a multi-tasker, detail-oriented, and have strong problem-solving skills.

• You are a team player and are ready to jump in when needed.

• You consider yourself calm, helpful, and can be creative in stressful situations.

• You have a great deal of discretion and understand what information is confidential.

Other Requirements:

• You possess strong communication skills and a high level of EQ.

• You are passionate about building strong relationships with your executive and the broader Harvey team

Responsibilities:

• Provide support to the executives in administrative functions including calendaring, schedule management, email management, travel coordination, expenses, and other high-priority items.

• Coordinate internal and external meetings including interviews, customer meetings, all-hands, off-site events, etc.

• Proactively manage calendar priorities based on customer meetings, fiscal calendars, current projects, etc.

• Take notes, manage action items, and assist in running meetings when needed.

• Effectively interface with internal and external stakeholders to prioritize the executives needs.

Benefits:

• Comprehensive health, dental and vision coverage

• retirement benefits (401k match up to 4%)

• flexible PTO

Experience Requirements:

• 3-9 years of experience in an analytics focused role - analytics engineer, data engineer or analyst / consultant with a strong engineering background

• Expert at answering product questions & crafting narratives with data

• Expert with SQL, dbt, Python, and other common analytics tools

• Eager to move fast & drive impact — you’d rather build an imperfect data model quickly that is used by many people than a perfect data model that collects dust

• Expertise at both defining the right metrics as well as diagnosing and understanding data inconsistencies

Other Requirements:

• Strong communication with the ability to build meaningful stakeholder relationships

• Ability to thrive in ambiguous cross-functional projects across Product, GTM, and Finance

• Big picture thinking while still delivering on the details

• Experience in a B2B / commercial environment

Responsibilities:

• Establish the data & process foundation for product and general analytics at Harvey

• Partner with Product, Exec Team, GTM, & Finance to create and maintain standard dashboards that measure business health

• Collaborate with cross-functional teams to understand their business needs and formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations

• Deliver effective presentations of findings and recommendations to multiple levels of stakeholders

• Partner with engineering to define data schemas, data models, and make technology decisions

Benefits:

• Comprehensive health, dental and vision coverage

• retirement benefits (401k match up to 4%)

• flexible PTO

Education Requirements:

• JD or equivalent legal qualification

Experience Requirements:

• At least 2 years of experience practicing law, preferably with experience in legal technology or knowledge management

• Strong understanding of legal processes and challenges faced by legal professionals

• A “roll up your sleeves” mentality, and an ability to collaborate effectively across internal functions (GTM, legal, product, etc.) to achieve common goals

• An entrepreneurial spirit - ability to work well under pressure, with a high degree of adaptability and flexibility in a fast paced, rapidly changing environment

• Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels

Other Requirements:

• Curiosity about AI’s potential to transform the legal industry

• Experience in education or enablement, with a track record in building successful training, development, and enablement programs at scale, including legal and product content creation and delivery

• Experience in marketing or sales, with a proven ability to communicate value propositions, craft compelling messages, and leverage data and insights to drive growth and customer satisfaction

• Familiarity with AI technologies, large language models, or related fields is advantageous

Responsibilities:

• Use your legal expertise to become an expert in Harvey’s range of products, helping to uncover and refine use cases across practice areas that meet prospect and customer needs

• Partner closely with the GTM Enablement team to build product and legal subject matter expertise across GTM. This includes: Being responsible for empowering GTM with legal and product knowledge, tools, and other resources that they need to deliver exceptional value to Harvey’s prospects and customers Creating specialized playbooks tailored to specific practice areas and based on prospect and customer needs Leading legal and product onboarding by designing product and legal-specific curriculum and training sessions, ensuring that GTM teams are up to date on new product features and legal workflows Identifying product and legal learning needs of GTM, and partnering with leaders to increase expertise and impact

• Partner with Customer Enablement, Product, and Marketing teams to develop GTM collateral and enablement content that resonates with Harvey’s target customers and reflects the Harvey brand

• Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens

Benefits:

• Comprehensive health, dental and vision coverage

• retirement benefits (401k match up to 4%)

• flexible PTO

Experience Requirements:

• Experienced professionals with a background in Enterprise SaaS, legal (big law) or top tier management consulting firms and direct experience managing large-scale technology projects.

• Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels.

• Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly

• Team players described as empathetic, committed, structured, motivated, and collaborative with a team-first mentality

Responsibilities:

• Strategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions.

• Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product.

• Client Relationship Management: Serve as the primary contact for clients with a prescriptive and consultative approach and delivering a superior customer experience.

• Success Metrics Management: Utilize adoption rates, NPS, and other key metrics to drive strategies ensuring client satisfaction and high ROI.

• Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations.

Benefits:

• Competitive Compensation + Equity

• 401k Plan

• Medical, Dental, Vision Insurance

• Gear Stipend

• Professional Development Stipend

Benefits:

• Competitive Compensation + Equity

• 401k Plan

• Medical, Dental, Vision Insurance

• Gear Stipend

• Professional Development Stipend

Benefits:

• Competitive Compensation + Equity

• 401k Plan

• Medical, Dental, Vision Insurance

• Gear Stipend

• Professional Development Stipend

Benefits:

• Competitive Compensation + Equity

• 401k Plan

• Medical, Dental, Vision Insurance

• Gear Stipend

• Professional Development Stipend

Experience Requirements:

• Any (new grads ok)

Experience Requirements:

• Any (new grads ok)

Experience Requirements:

• 3+ years

Experience Requirements:

• Any (new grads ok)

Experience Requirements:

• 6+ years