Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 2-3 Years

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 1-4 years

Experience Requirements:

• 3+ years experience in full-stack web development

• Proficient in developing web applications using React.js, Next.js, TypeScript, and Tailwind CSS

• Experience with backend API system development & deployment on cloud (e.g. AWS)

• Strong understanding of HTML, CSS, and JavaScript

• Experience in building ML applications or ML platforms

Responsibilities:

• Full-stack development in dev tooling and applications for GenAI copilots & agents

• Spearheading the development and maintenance of high-quality web front-end using React.js

• Contributing to the backend API system for cloud or on-prem deployment

• Staying updated on emerging technologies and best practices in web development

• Collaborating with Nexusflow.ai’s full team for product development, deployment and customer success

Experience Requirements:

• Research or industrial engineering experience in large language model or multi-modality models

• Experience in data curation for LLMs

• Experience in pre-training or instruction tuning for LLMs

• Experience in building copilots & agents

• Experience in capability study and benchmarking for LLMs

Responsibilities:

• Develop LLMs targeted at powering copilots and agents built for enterprise workflows

• Develop toolings to attain last-mile quality and robustness for copilot & agents applications

• Building copilot & agent application solutions for high value customer verticals

• Collaborate with the whole team for product development, deployment and customer success

Experience Requirements:

• Experience in ML model or ML data pipeline deployment (on-prem or on cloud)

• Experience in building backend for application or platform API systems

• Senior Level experience

• Experience in using or contributing to modern compute frameworks for LLMs (e.g. Deepspeed, Huggingface TGI, FSDP)

• Experience in projects involving LLMs

Responsibilities:

• API system development for copilot & agent quality tooling

• API system development for copilot serving and integration with enterprise-grade requirements

• Integration with on-prem & cloud compute vendors

• Integration with software tools required in customer oriented solutions

• Collaborate with the whole team for product development, deployment and customer success

Benefits:

• Flexible/unlimited vacation

• Medical coverage through BlueShield and Kaiser

• Dental and Vision coverage through Beam

• 401(k) Plan

• Life insurance

Experience Requirements:

• Strong technical acumen with experience in data analysis, AI-driven solutions, and an ability to effectively communicate complex technical topics.

• Familiarity with analytics tools, APIs, and AI/ML applications in business settings.

• Proven track record of exceeding sales targets and closing high-value deals.

• Excellent communication, negotiation, and relationship-building skills.

• Self-motivated, results-oriented, and adaptable in a fast-paced, high-growth environment眼里

Other Requirements:

• Experience with Salesforce, ZoomInfo, and other sales prospecting tools.

• Strong problem-solving skills and the ability to think strategically about customer needs.

• Coachable, open to feedback, and committed to continuous improvement.

• Previous experience in a startup environment.

• Experience selling AI-powered, data-driven, or analytics-based software solutions眼里

Responsibilities:

• Own and manage the entire sales cycle, from prospecting to contract negotiations and closing deals.

• Identify, qualify, and develop relationships with key decision-makers in target accounts.

• Conduct product demonstrations and sales presentations, effectively translating technical features into business value including answering in depth questions related to AI (artificial intelligence), NLP (natural language processing), and ML (machine learning)

• Collaborate with SDRs to optimize lead generation and pipeline development based on real time, AI (Artificial Intelligence) generated data pulled directly from data studio.

• Maintain a strong pipeline of qualified opportunities and accurately forecast sales performance眼里

Benefits:

• Stock Options

• Flexible Vacation Policy

• Medical coverage through BlueShield and Kaiser

• Dental and Vision coverage through Beam

• 401(k) Plan

Experience Requirements:

• At least three years in a customer-facing role

• High-energy and passionate about making customers successful and helping them exceed their business goals

• Program or project management experience ideally focused on onboarding or customer processes

• Clear written and verbal communication skills, along with the ability to craft compelling presentations for both technical and business audiences

• Customer empathy to listen and understand the unique needs of customers眼里

Other Requirements:

• The utmost integrity in your customer interactions and collaboration with unitQ team members

• Adaptability to try new ways of doing things with the ability to learn from failures and move on

• Experience working for a high-growth stage startup

• Will work in our SF office on Mondays, Tuesdays, Thursdays, Fridays unless at in-person customer meetings眼里

Responsibilities:

• Serve as the point of contact for customers and systematically track and address all customer questions and requests

• Lead new customer onboardings working in close conjunction with Sales and Operations teams

• Drive improvements for the onboarding process to reduce the time to onboard and improve the customer experience

• Proactively engage customers through regular touchpoints to deliver insights and help customers operationalize unitQ's data across their teams

• Deeply understand customers' perception of ROI and actively communicate ROI of the unitQ platform眼里

Benefits:

• Stock Options

• Flexible Vacation Policy

• Medical coverage through BlueShield and Kaiser

• Dental and Vision coverage through Beam

• 401(k) Plan

Experience Requirements:

• 3-5 years of customer support experience

• Experience in a high-tech SaaS industry

• Management or lead experience

• English - proficient in reading and writing

• Strong attention to detail

Other Requirements:

• Self-motivated with ability to work independently as well as thrive in a virtual team environment

• Strong commitment to working in a support role with a virtual team

• Constant communication with your team and other departments to keep an open dialogue going at all times

• Flexibility with special projects from time to time

• Ability to work to specified KPIs and performance expectations眼里

Responsibilities:

• You will learn and understand technical concepts and our platform and solutions

• You will perform problem analysis and deliver concise resolutions

• You will be the point of contact to help champion our customers and help to rally internal team members towards issue resolutions and data processing

• You will initiate creative solutions to resolve problems

• Ability to work to specified KPIs and performance expectations眼里

Benefits:

• Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.

• Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Experience Requirements:

• Operational Experience: A proven record in managing complex projects or strategic leadership roles, with demonstrable experience in client-facing positions within AI or technology integration.

Other Requirements:

• Exceptional Communication Skills: Capable of earning customer trust and liaising effectively between clients and internal teams.

• User Empathy and Customer Focus: A deep sense of user empathy and a customer-obsessed approach, ensuring solutions are technically sound and aligned with customer needs.

• Thrive in Ambiguity: Ability to identify critical problems in complex situations, define outcomes, and create structure among competing priorities.

• AI Passion: A passion for AI and optimism about its potential to impact the world.

• Coding Experience: Proficiency in programming, scripting, or statistical packages (e.g., Python, R, Matlab, SQL).

• Travel: Ability to travel 25-75%, varying by team.

Responsibilities:

• Earn Customer Trust: Demonstrate customer empathy and be the face of Distyl, managing relationships from end-users to executive stakeholders.

• End-to-end Workflow & Outcome Ownership: Identify the most valuable problems to solve. Embed yourself in the customer's workflow to understand it better than the users themselves. Ensure high accuracy and reliability to achieve the desired outcomes. Take ownership and accountability for the success of the customer engagement.

• Leadership: You and a technical lead will be jointly responsible for leading a team to deliver results to the customer.

• Data Analysis: Navigate noisy enterprise data to identify how AI can create reliable outcomes despite real-world constraints.

• User Adoption: Onboard users to our enterprise applications and platform, ensuring they realize value. Editorial Note: The original extract provided 6 distinct responsibilities. Given the schema limit of 5, the last responsibility, "Product Feedback", was omitted to adhere to the constraint.

Benefits:

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Experience Requirements:

• 3+ years of product design experience in SaaS or enterprise tech.

Other Requirements:

• Proficiency in Figma (or equivalent tools like Adobe XD, Sketch).

• Strong ability to balance execution with strategy - refine designs quickly while proposing broader, long term improvements.

• Experience working within brand guidelines.

• Clear communication & problem -solving skills - ability to justify design decisions and iterate quickly and effectively.

Responsibilities:

• Demonstrate UX Process Contribution - Able to clearly articulate design process, problem solving approach and contributions to the process.

• Lead End-to-End Design - Own the design process from concept to execution, working across interaction models, user flows, prototypes, and visual design to create seamless user experience.

• Enhance Product & UX Strategy - Balance short-term design execution with long-term product improvements Work in a Fast-Paced Environment - Adapt quickly to evolving requirements, refine in-flight designs, and make impactful decisions on tight timelines.

• Collaborate & Advocate for Design - Work cross-functionally with Engineers, Strategists, Researchers, and other stakeholders to ensure alignment while advocating for the best user experience.

• Maintain & Evolve Design Systems - Ensure consistency across the product by leveraging and refining existing design systems while contributing to future improvements.

Benefits:

• Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.

• Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Education Requirements:

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

Experience Requirements:

• 3+ years of experience as a software or machine learning engineer.

• Strong programming skills and experience with production software development.

• Expertise in machine learning frameworks (e.g., PyTorch, Transformers, Scikit-learn), data libraries (e.g., NumPy, Pandas), and ML operations.

• Experience with cloud infrastructure and modern deployment practices (e.g., CI/CD, Git, Docker, AWS/GCP/Azure).

Other Requirements:

• Strong understanding of AI/ML evaluation and how to operationalize responsible, reliable systems.

• Strong communication and collaboration skills, with the ability to work cross-functionally with customers and internal teams.

• Passion for AI and a pragmatic approach to solving real-world problems.

Responsibilities:

• LLM Systems Engineering: Design and implement robust LLM-powered systems that deliver real business value. This includes model evaluation, prompt design, agent logic, pilot development, and production deployment.

• Customer Collaboration: Work closely with customer stakeholders to understand business pain points and technical constraints, then translate these into technical architectures and applications.

• Platform Development: Contribute to the development of Distillery, our internal platform for LLM application development, by building reusable components, tools, and infrastructure to support the broader engineering team.

• Production Quality: Ensure that deployed systems are observable, maintainable, and meet rigorous performance and reliability standards.

• AI Evaluation: Apply a scientific and thoughtful approach to model vetting and evaluation, accounting for accuracy, explainability, cost, latency, and robustness. Editorial Note: The original extract provided 7 distinct responsibilities. Given the schema limit of 5, the responsibilities

Benefits:

• Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.

• Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Education Requirements:

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

Experience Requirements:

• 3+ years of experience as a software or machine learning engineer.

• Strong programming skills and experience with production software development.

• Expertise in machine learning frameworks (e.g., PyTorch, Transformers, Scikit-learn), data libraries (e.g., NumPy, Pandas), and ML operations.

• Experience with cloud infrastructure and modern deployment practices (e.g., CI/CD, Git, Docker, AWS/GCP/Azure).

Other Requirements:

• Strong understanding of AI/ML evaluation and how to operationalize responsible, reliable systems.

• Strong communication and collaboration skills, with the ability to work cross-functionally with customers and internal teams.

• Passion for AI and a pragmatic approach to solving real-world problems.

Responsibilities:

• LLM Systems Engineering: Design and implement robust LLM-powered systems that deliver real business value. This includes model evaluation, prompt design, agent logic, pilot development, and production deployment.

• Customer Collaboration: Work closely with customer stakeholders to understand business pain points and technical constraints, then translate these into technical architectures and applications.

• Platform Development: Contribute to the development of Distillery, our internal platform for LLM application development, by building reusable components, tools, and infrastructure to support the broader engineering team.

• Production Quality: Ensure that deployed systems are observable, maintainable, and meet rigorous performance and reliability standards.

• AI Evaluation: Apply a scientific and thoughtful approach to model vetting and evaluation, accounting for accuracy, explainability, cost, latency, and robustness. Editorial Note: The original extract provided 7 distinct responsibilities. Given the schema limit of 5, the responsibilities

Benefits:

• An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.

• Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.

• Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. Editorial Note: The original extract provided 6 distinct benefits. Given the schema limit of 5, the last benefit, "A collaborative and intellectually stimulating environment that encourages innovation and personal growth.", was omitted to adhere to the constraint.

Experience Requirements:

• Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.

• Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you'll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.

Other Requirements:

• Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.

• Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer's environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.

• Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

Responsibilities:

• Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.

• Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.

• Earn Our Customer's Trust: AI's power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.

Benefits:

• An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.

• Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.

• Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. Editorial Note: The original extract provided 6 distinct benefits. Given the schema limit of 5, the last benefit, "A collaborative and intellectually stimulating environment that encourages innovation and personal growth.", was omitted to adhere to the constraint.

Experience Requirements:

• Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.

• Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you'll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.

Other Requirements:

• Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.

• Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer's environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.

• Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

Responsibilities:

• Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.

• Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.

• Earn Our Customers' Trust: AI's power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.

Benefits:

• Competitive salary and benefits package, including equity options and healthcare.

• The opportunity to work at a mission-driven AI startup that is transforming how Fortune 500 companies operate.

• A fast-paced, dynamic work environment where your contributions will directly impact the company’s success.

• A collaborative culture that values professional growth and encourages taking on new responsibilities.

• Exposure to cutting-edge AI technologies and the opportunity to support a world-class team.

Experience Requirements:

• Experience: 1-3 years in a role focused on office management or administrative support, ideally in a startup or fast-paced environment.

Other Requirements:

• Skills: Strong organizational and time-management skills, with the ability to manage competing priorities and handle confidential information.

• Attention to Detail: Exceptional attention to detail, ensuring precision in all tasks and processes.

• Communication: Excellent verbal and written communication skills, with the ability to collaborate effectively across teams.

• Problem-Solving: A proactive and resourceful mindset, with a knack for identifying and resolving operational challenges efficiently.

• Logistics: This is a hands-on role where you'll be

Responsibilities:

• NY Office Management – 20% - Ensure the New York office is clean, stocked, and operational. Own office logistics, supplies, visitor experience, and support an upcoming office move.

• Culture & Engagement – 10% - Coordinate team events, celebrations, swag, and engagement programs that foster connection across offices. Support internal communications and feedback loops to continuously improve the employee experience.

• Onboarding Support – 10% - Deliver a smooth onboarding experience for new hires across NY and SF, including Day 1 logistics, scheduling, and in-person support. Coordinate onboarding communications, account setup, and monthly onboarding cohorts.

• Recruiting Coordination – 30% - Manage interview scheduling and candidate logistics across phone, video, and onsite interviews. Partner with recruiters and hiring managers to ensure a seamless, timely, and positive candidate experience. Own onsite interview operations for the NY office and help resolve scheduling changes efficiently.

• Administrative Operations – 30% - Support day-to-day operational needs, including recurring admin tasks, internal tracking, and IT coordination. Assist with planning and logistics for team offsites, colocations, and cross-functional projects.

Benefits:

• Flexible PTO to facilitate strong work-life balance

• Paid parental leave

• Extensive benefit options including healthy lifestyle reimbursement, 401(k) matching, HSA/FSA, dental, vision, and mental health coverage

• Daily catered lunches from locally-owned restaurants and diverse snack offerings

• Employee-led groups (run club, disc golf club, and book club)

Experience Requirements:

• Previous management experience preferred

• At least 1 year of experience in SaaS sales, AE experience preferred

• Understanding of B2B software is required

• Experience selling through cold calling required

• Track record of leading a team that consistently meets and exceeds goals

Other Requirements:

• Naturally curious, empathetic, accountable and analytical

• Strong passion for leading individuals

• Ability to clearly set and communicate expectations for each member of your team

Responsibilities:

• Train a team of SDRs responsible for cold calling prospects and setting appointments

• Achieve daily, weekly, and monthly sales goals, compare performance to goals, and adjust goals as needed

• Help create a fun, high energy environment where people love coming to work

• Coach, mentor, and provide feedback to team members

• Foster a competitive yet collaborative team environment

Benefits:

• Flexible PTO to facilitate strong work-life balance

• Paid parental leave

• Extensive benefit options including healthy lifestyle reimbursement, 401(k) matching, HSA/FSA, dental, vision, and mental health coverage

• Daily catered lunches from locally-owned restaurants and diverse snack offerings

• Employee-led groups (run club, disc golf club, and book club)

Experience Requirements:

• Previous cold calling experience a plus, but not required

Other Requirements:

• Strong desire to succeed and build a career in sales

• Ability to self-motivate and succeed in a fast-paced role

• Willingness to ask for help and an openness to being coached

• Ability to multitask, organize, and prioritize work

Responsibilities:

• Focus on outbound prospecting small businesses across the U.S. (130 cold calls) with leads that are provided to you

• Book demos for your Senior Account Executives and ramp up to 3 demos/day over time and with training

• Reach out and confirm their attendance at their scheduled demo

• Help drive strategic, top-of-the-funnel lead generation through targeted cold-calling

• Consistently update your activities, opportunities, and account information in our CRM

Education Requirements:

• BSc in Computer Science or equivalent

Experience Requirements:

• 7+ years of experience in software development

• 5+ years of experience with Node.js

• Expert knowledge of Python capabilities and limitations

• Understanding of front-end concepts and technology (React, TypeScript)

• Experience with relational databases (such as PostgreSQL)

Other Requirements:

• Excellent communication skills

• Organized and self-driven

• Familiarity with Agile development methodologies

• Ability to work in high-paced and dynamic start-up environments

• An all-star team player with a “can do” attitude

Responsibilities:

• Design and build our scalable enterprise-grade control plane using industry best practices focusing on quality, performance, and delivery.

• Write well-crafted, tested, readable, and maintainable code.

• Participate in code design, code review, and distribution knowledge.

• Develop distribution and deployment tools for different platforms.

• Collaborate with data-scientists, product managers and other team members to ensure high-quality and timely deliverables.

Experience Requirements:

• Proven experience building enterprise products and delivering solutions to large organizations.

• Experience in cybersecurity is highly preferred.

• Hands-on leadership

• Startup-savvy

• Strategic mindset

Other Requirements:

• Based in Israel with the flexibility to work across time zones.

• Excellent collaboration skills with experience working closely with founders, engineers, and stakeholders.

• A doer who can roll up their sleeves and execute on product strategy.

• Comfortable navigating uncertainty, leading cross-functional teams, and switching contexts efficiently.

• Able to think big while staying tactical to achieve immediate results.

Responsibilities:

• Collaborate with founders and engineers to shape the product vision and roadmap.

• Build enterprise-grade solutions, ensuring the product meets the needs of large, complex organizations.

• Own the product lifecycle, from early development to market release and scale.

• Lead efforts to align product development with customer needs, focusing on cybersecurity and AI.

• Design and implement a strategic roadmap with both short-term wins and long-term goals.

Education Requirements:

• At least a B.Sc. in Computer Science, Data Science, Engineering, or a related field

Experience Requirements:

• 3+ years of hands-on experience in data science or applied ML

• Strong Python skills and experience with ML/NLP libraries (e.g., pandas, scikit-learn, Hugging Face, PyTorch)

• Solid understanding of NLP tasks, especially document-level classification and reasoning

• Experience working with production-level data and noisy datasets

Other Requirements:

• Comfortable working in a fast-paced, early-stage startup environment

• Bonus: experience with sensitive data detection, document parsing, or vector databases

Responsibilities:

• Develop and refine various types of models for extracting and interpreting information.

• Work with a range of data formats to uncover meaningful insights.

• Utilize modern machine learning techniques and representations for data understanding.

• Continuously test and enhance approaches to improve practical outcomes.

• Partner with different teams to integrate intelligent systems into workflows.