Benefits:

• A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.

• Difficult and interesting problems to solve.

• Pilot license subsidy.

• Hybrid work setting.

• Learning & Development budget: visit conferences of your choice.

Education Requirements:

• Master’s or PhD degree in computer science, physics, mathematics or a related technical field.

Responsibilities:

• Ensure that our neural networks perform strongly in all conditions, by combining work on data, model design, and training.

• Ensure that this performance can be guaranteed, through careful design and verification activities, under our ML certification framework developed in collaboration with regulators.

• Leverage transfer learning to massively increase the amount of training and evaluation data available, in particular through the use of simulation.

Education Requirements:

• Bachelor’s degree in Marketing, Business, Communications, or a related field

Experience Requirements:

• 1-3 years of marketing experience, preferably in the SaaS or technology sector

Responsibilities:

• Implement our account-based marketing (ABM) strategy by creating targeted campaigns and content for our priority customer stakeholders

• Develop positioning and messaging to clearly communicate the benefits and functionalities of our products to potential customers

• Write and curate engaging content that can be disseminated efficiently to multiple channels such as our blog, social media, email newsletters, etc. These include whitepapers, case studies, and other content as needed

• Manage and optimize social media accounts, including content scheduling, audience engagement, and targeted outreach to key accounts

• Collaborate with the sales and product teams to organize campaigns around accounts as well as product initiatives, as they arise Use various marketing and sales automation tools to promote, track and monitor content campaigns at all stages of the marketing funnel Create, monitor and analyze marketing performance metrics Research and monitor the market to identify trends, opportunities and risks Plan and execute virtual and in-person events, webinars, and conferences

Education Requirements:

• Bachelor's degree or Master’s Degree in Computer Science or a related field

Experience Requirements:

• Proven experience as a Full-Stack Software Engineer, preferably in a startup environment

Responsibilities:

• Design and develop scalable and efficient software solutions for our product

• Collaborate with cross-functional teams to define, design, and ship new features

• Build, deploy, and maintain web applications using modern tools and frameworks

• Optimize the performance and scalability of our applications

• Conduct code reviews to ensure high-quality and maintainable code Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives Stay up-to-date with the latest industry trends and technologies

Education Requirements:

• Bachelor's degree or Master’s Degree in Computer Science or a related field

Experience Requirements:

• Proven experience as a Backend Software Engineer, preferably in a startup environment

Responsibilities:

• Design and develop scalable and efficient software solutions for our product

• Collaborate with cross-functional teams to define, design, and ship new features

• Build, deploy, and maintain web applications using modern tools and frameworks

• Optimize the performance and scalability of our applications

• Conduct code reviews to ensure high-quality and maintainable code Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives Stay up-to-date with the latest industry trends and technologies

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Experience Requirements:

• 3+ years of experience in a technical implementation role, preferably in enterprise software, legal technology, search, document management, or related AI sectors.

Responsibilities:

• Manage complex cloud and on-premise deployments, setting up new deployments and optimizing existing deployments.

• Collaborate with customers to understand their technical requirements, provide solutions to complex challenges, and implement these requirements in collaboration with our engineering team.

• Plan, coordinate and execute implementation project plans from initiation through completion, ensuring timelines and customer expectations are met.

• Provide technical support during the sales process, including answering and resolving technical queries and assisting with the completion of security questionnaires.

• Assist in creating technical documentation, such as product manuals, FAQs, and integration guides. Stay abreast of industry trends, competitive landscape, and technological advancements in enterprise search and AI.

Experience Requirements:

• 7+ years of experience in marketing, of which at least 3 years must be in a managerial or leadership role in a B2B SaaS/software company.

Responsibilities:

• Team Leadership: Set priorities and goals for the marketing team, coaching and mentoring team members to achieve success. Manage a hiring plan and grow the team according to plan and budget.

• ABM Strategy: Collaborate with Sales to align ABM campaign priorities based on data and market insights. Oversee the development of targeted strategies for key accouts.

• Growth Strategy: Define and execute a comprehensive marketing strategy to drive funnel and pipeline growth, customer acquisition, and brand awareness.

• Cross-Functional Collaboration: Serve as the primary interface with Sales and Customer Success, ensuring alignment on campaign goals, priorities, and outcomes. Partner with Product to understand and refine messaging and positioning.

• Campaign Oversight: Guide the team in executing focused and high-impact multichannel content marketing campaigns, spanning paid and earned media, PR, blogs, social, events, partners, etc. Data-Driven Decision Making: Use analytics and reporting to optimize marketing performance, measure ROI, and make informed decisions about budget allocation. Hands-On Execution: Contribute directly to strategic initiatives, such as creating campaign strategies, refining messaging, and launching key projects. This could include drafting a LinkedIn post one day and working on an overall target account analysis the next day. You will do whatever needs to be done without ego.

Experience Requirements:

• 5+ years of experience in B2B sales. Sales in legaltech is a plus

Responsibilities:

• Identify and engage potential clients, strategically qualifying leads to build a robust sales pipeline

• Close business to exceed monthly, quarterly, and annual bookings objectives through effective sales strategies and client relationship management

• Cultivate strong and enduring relationships with clients, uncovering growth opportunities and ensuring customer satisfaction

• Work closely with the Marketing team to organize seminars, trade shows, and other events, ensuring alignment with sales objectives

• Travel to both existing and prospective clients, fostering market share growth and effectively promoting and selling our tools Plan, coordinate and execute sales presentations to inform, persuade, educate and ultimately close business Learn, develop and evangelize new ways for DeepJudge to differentiate itself in the marketplace

Benefits:

• Competitive salary

• Generous equity stake in the company

• Wide range of benefits and career progression opportunities

Experience Requirements:

• 5+ years of experience developing user interfaces with TypeScript, React

• Demonstrated experience in front-end architecture

• Strong proficiency in translating design mockups

• Experience with state management solutions

• Solid understanding of accessibility standards

Responsibilities:

• Architect, design, and develop front-end systems

• Rapidly translate Figma mockups into fully functional user interfaces

• Lead the design reviews

• Optimize applications for speed, scalability, and cross-browser compatibility

• Implement and manage state management solutions

Experience Requirements:

• Deep research domain knowledge in LLM safety techniques

• Extensive research experience in aligning, training, and/or attacking multiple different types of LLM models and architectures

• Adaptability and flexibility

Responsibilities:

• Spearhead an LLM research domain with a focus on safety, quality, explainability, evaluation, and/or adversarial attacks

• Push the envelope by developing novel techniques and research

• Co-author papers, patents, and presentations

• Lead research projects end-to-end

• Deliver generalizable, scalable, and reproducible algorithms

Experience Requirements:

• Deep domain knowledge in Natural Language Processing

• Extensive experience in designing, implementing, and maintaining production-ready ML code

• Past experience in leading an end-to-end NLP feature

• Adaptability and flexibility

Responsibilities:

• Be responsible of a vertical for Dynamo AI’s state-of-the-art safety guardrails

• Perform rigorous testing of the product features

• Push the envelope by implementing novel techniques

• Work closely with our policy, product, and engineering teams

Experience Requirements:

• Deep domain knowledge in LLM safety techniques

• Extensive experience in designing, training, and implementing multiple different types of LLM models and architectures

• Adaptability and flexibility

Responsibilities:

• Own an LLM vertical with a focus on a specific safety domain

• Generate high quality synthetic data, train LLMs, and conduct rigorous benchmarking

• Deliver robust, scalable, and reproducible production code

• Push the envelope by developing novel techniques and research

• Co-author papers, patents, and presentations

Experience Requirements:

• Deep domain knowledge in privacy-preserving ML

• Practical experience in techniques to attack or defend ML models

• Extensive experience in implementing multiple different types of LLM models and architectures

• Adaptability and flexibility

Responsibilities:

• Own an ML privacy vertical

• Collaborate with our engineering team to deliver real-world applications

• Generate high quality synthetic training data, train LLMs, and conduct rigorous evaluation and benchmarking

Experience Requirements:

• Domain knowledge in LLM evaluation and data curation techniques

• Extensive experience in designing and implementing LLM benchmarking

• Adaptability and flexibility

Responsibilities:

• Own LLM evaluation processes and methods

• Generate high quality synthetic data, curate labels, and conduct rigorous benchmarking

• Deliver robust, scalable, and reproducible production code

• Push the envelope by developing methods for benchmarking

• Co-author papers, patents, and presentations

Experience Requirements:

• Deep domain knowledge in LLM safety and/or evaluation techniques

• Extensive experience in designing, implementing, and maintaining production-ready ML code

• Comfortability with leading end-to-end projects and collaborating with researchers and engineers

• Adaptability and flexibility

Responsibilities:

• Work at the intersection of ML and Engineering

• Perform rigorous testing of the product features

• Push the envelope by implementing novel techniques

• Work closely with our policy, product, and engineering teams

Experience Requirements:

• Significant experience deploying and securing production AI/ML infrastructure

• Deep understanding of popular security posture management tools and practices

• Strong familiarity with AI/ML concepts

• Previous experience in security services setup or at a large SaaS security company is highly desirable

Responsibilities:

• Work directly with customers to assess and enhance their AI/ML security posture

• Design and implement architectural patterns and proof of concepts

• Collaborate with cross-functional teams

Education Requirements:

• electronic engineering, computer science, AI, or mathematics or related fields

Other Requirements:

• Familiarity with programming languages like C and C++, Python

• Knowledge and experience with RISC-V processor architecture and SystemVerilog/UVM is preferable

Responsibilities:

• Design a customizable and extendable SystemVerilog UVM-based model of a RISC-V processor, along with the development of a UVM testbench environment to ensure comprehensive integration and functionality

• Ensure the model can support the verification of CV32E20

• Ensure the model can support custom ISA instructions

• Identify and overcome challenges associated with interrupt handling within the RISC-V core

• Integrate the developed SystemVerilog model into an RTL simulator environment

Benefits:

• Be at the forefront of cutting-edge semiconductor technology development

• Work in a collaborative, innovative, and dynamic startup culture

• Opportunity for professional growth and career advancement

• Competitive compensation package and benefits

Experience Requirements:

• 7+ years of experience

Other Requirements:

• Experience in team management

• Experience in development planning

• Experience in embedded systems or compiler design

• Experience in embedded systems/Linux/Windows driver design

• Experience with high-performance computing, e.g. DirectML/OpenCL

• Knowledge of Deep Learning

• Knowledge of Tensorflow/Pytorch

Responsibilities:

• Lead part of the software engineering team

• Plan the development of our software

• Design and supervise the implementation of drivers for embedded systems

• Design and supervise the implementation of model compilers

• Design and supervise the implementation of software API

Benefits:

• Be at the forefront in cutting edge, low power semiconductor development

• Work in a collaborative, dynamic, and flexible startup culture

• Great opportunities for professional growth and career advancement

Education Requirements:

• BS / MS in Electrical or Computer Engineering or equivalent

Experience Requirements:

• 7+ years of experience

Other Requirements:

• Proven experience completing design cycles on delivered SRAM designs

• Skill in bitcell stability analysis

• Good understanding of high-performance and low power circuit designs with FinFet technologies

• Proven experience as the designated responsible individual for a memory design, leading a small team of designers

• Proficiency in scripting language: Python, Tcl

• Experience in <22nm CMOS processes

• Experience in Synopsys custom compiler

• Independent, self-motivated, well-structured, creative

• Good communication skills in English

Responsibilities:

• Lead end to end design team for high-performance, low-power embedded SRAMs on advanced technologies

• Memory compiler development, characterization, and verification

Benefits:

• Meaningful work

• Fair compensation & serious equity

• Time off (minimum 25 days paid vacation)

• Company retreats (twice a year)

• Personal development budget