Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• Strong AI Applied Researcher with experience building complex AI applications.

• Experience with NLP, ML algorithms

• Experience contributing to research projects from PoC stage to production

• Experience with LLMs, Agents and RAG - Advantage

• Experience using LLMs / Deep Learning models - Advantage

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Research and optimization agentic flows to solve complex problems

• Participate in PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• An incredibly strong AI Applied Researcher with experience building complex AI applications.

• Experience with LLMs, Agents, RAG, NLP, ML algorithms

• Strong experience of leading research projects from PoC stage to production.

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Lead the research and optimization of agentic flows to solve complex problems

• Perform PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Health, Dental, and Vision Insurance

• Stay Healthy subsidy (for gym and sports)

• Unlimited PTO

• Paid Paternity and Maternity Leave

Education Requirements:

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

Experience Requirements:

• Proven experience (5 years) in engineering management or a similar leadership role.

• Strong technical background.

• Excellent project management skills, with a track record of successful project delivery.

• Demonstrated ability to lead and inspire a team, fostering a positive and collaborative work environment.

Other Requirements:

• Strong communication skills, both written and verbal, in English and Portuguese.

• Problem-solving and critical-thinking skills with attention to detail.

• Familiarity with cybersecurity is a plus.

Responsibilities:

• Lead, mentor, and develop a high-performing engineering team.

• Foster a customer centric culture of collaboration and continuous improvement.

• Provide guidance and support to team members, promoting their professional growth.

• Oversee the planning, execution, and delivery of engineering projects.

• Develop project timelines, allocate resources effectively, and ensure project milestones are met.

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

• 401k

Experience Requirements:

• An incredibly strong engineer with years of experience building complex backend applications.

• Strong experience of distributed systems and techniques for building fault-tolerant, high-availability platforms.

• Experience with ML algorithms, Real-time Analytics or LLMs (AI experience not required)

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Integrate the LLMs against hundreds of external data sources (easily surpassing terabytes per customer).

• Scale out the data platform at all levels (ingest, search, storage, aggregation and reporting).

• Leverage retrieval-augmented generation (RAG) to improve the consistency of AI outcomes and avoid duplicate inference.

• Improve our Agentic AI services as well as the platform they run on

Benefits:

• Health Insurance (Safety Wing)

• Stay Healthy subsidy (for gym and sports)

• Unlimited PTO

• Paid Paternity and Maternity Leave

• Enjoy your local holidays in Brazil!

Experience Requirements:

• Experience with different sorts of integration methods like REST, Webhooks, etc.

• Solid programming skills in Python or Javascript (nodejs).

• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and their respective services (e.g., S3, SQS).

• Knowledge of distributed systems and techniques for building fault-tolerant, high-availability platforms.

• Strong understanding of various database and search technologies (e.g. SQL, ElasticSearch, MongoDB).

Other Requirements:

• Proficiency in English (at least advanced level) for effective communication and collaboration within the team.

Responsibilities:

• Build business logic for all connector types (e.g. webhook, polling, syslog, etc.) and contribute to various design patterns to make this easier.

• Monitor, troubleshoot, and enhance the performance of connectors, ensuring minimal downtime and high reliability.

• Collaborate with engineering and product teams to refine technical requirements for product asks and right-sizing engineering solutions to meet them.

Benefits:

• Working in a young and interdisciplinary start-up team

• Lots of responsibility and creative freedom right from the start

• clear career plan with defined goals

• Exploring the future fields of “artificial intelligence” and “circular economy”

• Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere

Education Requirements:

• Completed commercial training or comparable qualification

Experience Requirements:

• Experience in a comparable role, e.g. as Executive Assistant, Chief of Staff, Procurement Manager or Grant Manager

Responsibilities:

• Administrative & operational support for the management in day-to-day business

• Purchasing and procurement management: Research, selection, ordering and processing of products and services, as well as negotiations with suppliers

• Funding and application management: identification of relevant funding programs, application and follow-up Preparation of pitch decks, data rooms and relevant documents for financing rounds Process optimization: Support in improving internal processes and administrative structures Data & document management: Management of important documents, contracts and reports to support management Independent decision-making on administrative and operational issues

Benefits:

• Working in a young and interdisciplinary start-up team

• Lots of responsibility and creative freedom right from the start

• clear career plan with defined goals

• Exploring the future fields of “artificial intelligence” and “circular economy”

• Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere

Education Requirements:

• Master's degree or PhD in computer science, data science, artificial intelligence, mechanical engineering or a related field

Experience Requirements:

• 5 years of proven experience in the development of complex software projects

• At least 3 years of professional experience in the development and shipment of AI algorithms in the field of computer vision Experienced in the independent development of software projects

• Several years of professional experience in the development and implementation of AI models and algorithms.

Responsibilities:

• ​Holistic and independent development and shipment of AI models to the customer using our existing data pipeline as well as improvement and extension of existing models Data acquisition, support in annotation processes Further development of data and training pipelines as well as our data workspace Design of AI algorithms (architectures, training procedures, etc.), hyperparameter optimization as well as measurement and implementation of performance-enhancing measures Software-side implementation of AI algorithms in Python with PyTorch Development of interfaces and integration of algorithms in real-time applications Management and maintenance of cloud training environment and data pipeline (Microsoft Azure) Technology stack: Python, PyTorch, PyTorch-Lightning, Azure-ML, Docker, Jupyter notebooks, etc. Technology scouting and active participation in technology decisions Work in autonomous Scrum teams in flat hierarchies with plenty of room to help shape things Collaboration in agile processes with colleagues as well as national and international partners and customers. Willingness to travel to customers and desire to develop the team on site

Benefits:

• Working in a young and interdisciplinary start-up team

• Lots of responsibility and creative freedom right from the start

• clear career plan with defined goals

• Exploring the future fields of “artificial intelligence” and “circular economy”

• Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere

Education Requirements:

• Master's degree or PhD in computer science, data science, artificial intelligence or a related field

Experience Requirements:

• 5 years of proven experience in the development of complex software projects

• Experience in building and maintaining data pipelines and cloud training environments, preferably with Microsoft Azure Experienced in the independent development of software projects

• Relevant professional experience in creating datasets

Responsibilities:

• ​Design and construction of data pipelines to automate the collection, processing, and provisioning of image and video data

• Implementation of data extraction methods from diverse sources such as sensors, cameras, and online databases

• Development of algorithms and routines for data cleaning and preprocessing, including normalization, scaling, noise reduction, contrast adjustment, and geometric transformations to optimize image quality

• Application of specific image preprocessing techniques, such as histogram equalization, sharpening, rectification, and color space conversion prior to data transmission to maximize visual data quality and enhance analytical accuracy Annotation and labeling of image and video data with precise tags to support object detection and segmentation models Creation and management of specialized datasets for validation and testing to assess model generalization and performance Automation of data cleaning and annotation processes using modern scripting languages to improve efficiency and accuracy Implementation of data transfer and storage processes for efficient handling of large datasets, including the application of image compression techniques to minimize storage requirements without compromising quality Monitoring and optimization of data pipeline performance to prevent bottlenecks and increase data processing speed Development of error-handling strategies and monitoring of data quality to ensure data integrity and system reliability Documentation of data processing workflows, methods, and tools to ensure transparency and traceability for all stakeholders

Benefits:

• Medical, dental, vision plans covered at 90%

• 401k Employer Contribution (nonelective contribution of 3% of your compensation)

• Flexible time off - take time off when you need it!

• Two approved remote work weeks per year

• Catered lunches & snacks in-office is available in the San Mateo office (not available for fully remote employees at this time). We are actively working on expanding benefits to all locations, especially on wellness support & team connectivity :raised_hands:. In the meantime, fully remote employees receive an additional stipend for their at-home office setup. :house:

Education Requirements:

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

Experience Requirements:

• 2-5 years of full-time product management or related industry experience

• Experience building AI products or deeply using LLMs

Responsibilities:

• Spearhead the strategy and development of AI agents for the use of investors and other users within the Financial Services industry

• Deeply understand the technology and psychology behind AI and agents

• Own the full lifecycle of products from inception and development to rollout and ongoing success

• Craft a narrative, define product requirements, and prioritize effectively

• Collaborate with leadership, engineers, and other stakeholders to deliver high-quality products

Benefits:

• Medical, dental, vision plans covered at 90%

• 401k Employer Contribution (nonelective contribution of 3% of your compensation)

• Flexible time off - take time off when you need it!

• Two approved remote work weeks per year

• Catered lunches & snacks in-office is available in the San Mateo office (not available for fully remote employees at this time). We are actively working on expanding benefits to all locations, especially on wellness support & team connectivity :raised_hands:. In the meantime, fully remote employees receive an additional stipend for their at-home office setup. :house:

Education Requirements:

• A degree in a deeply technical field (e.g. computer science, AI/ML, computational science) with a proven track record of applied AI research (e.g. significant journal or conference publication, lead on AI feature development, popular open source project)

Experience Requirements:

• 1+ years of software engineering experience in a production environment

• Experience with Python, PyTorch, LLM prompting

Responsibilities:

• Identify, prove out, and prototype impactful improvements to our core platform, leveraging novel AI solutions

• Collaborate with adjacent stakeholders - empathize and learn from customer needs, clearly communicate your findings to leadership, and pair with engineering on production implementation

• Stay curious on AI research at all levels of the stack

• Shape culture and research best practices for the team, and the rest of the org

Benefits:

• Medical, dental, vision plans covered at 90%

• 401k Employer Contribution (nonelective contribution of 3% of your compensation)

• Flexible time off - take time off when you need it!

• Two approved remote work weeks per year

• Catered lunches & snacks in-office is available in the San Mateo office (not available for fully remote employees at this time). We are actively working on expanding benefits to all locations, especially on wellness support & team connectivity :raised_hands:. In the meantime, fully remote employees receive an additional stipend for their at-home office setup. :house:

Experience Requirements:

• Have 4+ years of full-time software engineering experience in a production environment

• Are experienced with web development and fluent with React, Typescript, and Python

Responsibilities:

• Drive projects end-to-end, from scoping and design to implementation and rollout

• Design and build delightful user-facing products from the ground up, including working hands-on with customers to demonstrate and communicate the value of Gradient technology, from demos to proofs of concept to full productionization

• Collaborate closely with leadership, applied scientists, and other engineers to ensure alignment on decisions

• Stay up-to-date with the AI landscape and technologies, ensuring we are using the best tool at hand for our platform

• Help uplevel the engineering team and shape culture and technical best practices

Benefits:

• Medical, dental, vision plans covered at 90%

• 401k Employer Contribution (nonelective contribution of 3% of your compensation)

• Flexible time off - take time off when you need it!

• Two approved remote work weeks per year

• Catered lunches & snacks in-office is available in the San Mateo office (not available for fully remote employees at this time). We are actively working on expanding benefits to all locations, especially on wellness support & team connectivity :raised_hands:. In the meantime, fully remote employees receive an additional stipend for their at-home office setup. :house:

Experience Requirements:

• Have 5+ years of full-time software engineering experience in a production environment

• Are experienced with web development and fluent with React, Typescript, and Python

Responsibilities:

• Drive projects end-to-end, from scoping and design to implementation and rollout

• Help formulate technical roadmap by collaborating closely with leadership, applied scientists, and other engineers

• Design and build delightful user-facing products from the ground up, including working hands-on with customers to demonstrate and communicate the value of Gradient technology, from demos to proofs of concept to full productionization

• Stay up-to-date with the AI landscape and technologies, ensuring we are using the best tool at hand for our platform

• Help uplevel the engineering team and shape culture and technical best practices

Benefits:

• Coaching

• Amazon Kindle

• Amazon free library

• English lessons

• SZÉP Card Medicover insurance Bicycle Nursery support Eyeglass allowance Sport tickets

Experience Requirements:

• 3+ years of PM experience

Responsibilities:

• Analyze product data and session recordings to uncover pain points, identify opportunities, drive product adoption.

• Lead agile rituals (standups, planning, reviews, retrospectives).

• Coordinate product discovery, delivery, and GTM with design, engineering, QA and success teams.

• Document product requirements, user stories, and QA issues.

• Collaborate with leadership on planning and strategy. Own and prioritize the product backlog and roadmap. Participate in English and Hungarian language customer meetings. Stay up-to-date on competitors, industry trends, and PM practices

Benefits:

• Training budget

• Medicover-White card

• Glasses

• SZÉP card

• ESOP Phone support Awsomeness awards Flexible work hours Win a StarCraft game & get a MacBook

Experience Requirements:

• Customer Success Experience

• L1 support experience

Responsibilities:

• Client Communication: Build strong relationships with B2B clients, ensuring their success and satisfaction

• Technical Support: Provide Level 1 support, resolving customer issues efficiently

• CRO Enthusiasm: Help enhance clients’ online performance with conversion optimization insights

• Sales Skills: Spot upsell and cross-sell opportunities to drive business growth

Benefits:

• Training budget

• Medicover-White card

• Glasses

• SZÉP card

• ESOP Phone support Awsomeness awards Flexible work hours Win a StarCraft game & get a MacBook

Experience Requirements:

• Marketing experience

Responsibilities:

• Implement CRO-focused ecommerce campaigns using OptiMonk to enhance website performance and increase conversion rates for our clients Execute A/B and multivariate tests to optimize conversion funnels Monitor and analyze website performance using web analytics tools Generate reports and present findings to clients on the impact of our optimization efforts Work closely with marketing, design, and development teams to implement optimization strategies Provide data-driven recommendations to continuously improve conversion rates

Education Requirements:

• Ph.D. or Masters Degree in Computer Science, Machine Learning, or a related field.

Experience Requirements:

• At least 3 years of industry experience in a software engineering role

• Experience in AI infrastructure: building scalable data pipelines, inference servers, monitoring services, and more

• Deep understanding of ML pipelines, algorithms, and best practices for model development, deployment, and monitoring

• Strong background in deep learning concepts, architectures (e.g., Transformers, LLMs, GANs, etc.), and training techniques (e.g., Fine-tuning, self-supervised learning, transfer learning, etc.)

• Understanding of cloud platforms like GCP and infrastructure-as-code tools like Terraform and MLOps platforms like Kubeflow.

Responsibilities:

• Build and scale robust AI/ML cloud infrastructure for training, validation, and inference

• Create a smooth, efficient MLOps flow for staging, deploying and monitoring AI pipelines

• Create data pipelines, clean data, and generate synthetic datasets

• Train and validate models, using modern approaches including supervised fine tuning, retrieval augmented generation, parameter efficient fine-tuning, and more

• Actively collaborate with cross-functional teams, domain experts, and end users to refine product needs and ensure impactful technology solutions.

Education Requirements:

• Ph.D. or Masters Degree in Computer Science, Machine Learning, or a related field or equivalent applied research experience.

Experience Requirements:

• At least 3 years of industry experience in a software engineering role

• Deep understanding of ML pipelines, algorithms, and best practices for model development, deployment, and monitoring

• Strong background in deep learning concepts, architectures (e.g., Transformers, LLMs, GANs, etc.), and training techniques (e.g., Fine-tuning, self-supervised learning, transfer learning, etc.).

• Expertise and hands on experience with generative AI approaches: SFT, RAG, DPO, RLHF, etc.

• Experience in AI infrastructure: building scalable data pipelines, inference servers, monitoring services, and more

Responsibilities:

• Develop cutting edge generative AI approaches for challenging 3D data types

• Create data pipelines, clean data, and generate synthetic datasets

• Train and validate models, using modern approaches including supervised fine tuning, retrieval augmented generation, parameter efficient fine-tuning, and more

• Deploy, monitor and iterate!

• Actively collaborate with cross-functional teams, domain experts, and end users to refine product needs and ensure impactful technology solutions.

Benefits:

• Health insurance

• Career growth opportunities

• Access to training, events, and conferences

• Free coffee

• Arcade machines

Education Requirements:

• Bachelor’s degree in Computer Science, Business, Engineering, or equivalent experience.

Experience Requirements:

• 5+ years in pre-sales, business development, or similar roles in tech.

• Technical expertise in at least one of Visor.ai’s core areas: AI, data science, software engineering.

• Strong knowledge of cloud contact centers and automation software.

• Experience with API integrations, web services, and AWS Cloud.

Other Requirements:

• Native in Portuguese and fluent in English & Spanish.

Responsibilities:

• Define & optimize the pre-sales process for efficiency and accuracy.

• Understand client needs, identify potential challenges, and propose solutions.

• Collaborate with engineering teams to tailor products to customer requirements.

• Provide technical expertise and support in demonstrations of new products.

• Assist in proposal preparation, aligning solutions with client needs.

Benefits:

• Bezpłatne 3-miesięczne praktyki studenckie z możliwością zatrudnienia po tym okresie

• Elastyczny czas pracy

• Współpraca z biura (Gdańsk, Wrzeszcz) z możliwością częściowej pracy zdalnej

• Służbowy laptop

• Dostęp do narzędzi niezbędnych do pracy * check_circle Wewnętrzne szkolenia * check_circle Pracę u boku doświadczonych specjalistów, którzy chętnie dzielą się swoją wiedzą i doświadczeniem

Education Requirements:

• Status studenta (preferowane kierunki: dziennikarstwo, marketing lub pokrewne)

Responsibilities:

• Prowadzenie mediów społecznościowych firmy (komunikacja w j. angielskim)

• Pomoc w tworzeniu artykułów na firmowego bloga

• Tworzenie grafik i prezentacji

• Wsparcie zespołu marketingu w codziennych działaniach

Benefits:

• Great Company Culture

• Bring your whole self to work

• Rest and Relaxation

• Health Benefits

• Keep learning

Experience Requirements:

• 10+ years of experience in product management, with a strong background in analytics, data platforms, or enterprise SaaS.

• Experience leading customer-facing analytics products for enterprise customers, with a focus on data visualization, reporting, and AI-driven insights.

Responsibilities:

• Define the product vision, strategy, and roadmap for analytics solutions, ensuring alignment with business objectives.

• Identify market opportunities, customer pain points, and emerging trends in enterprise analytics to shape Ushur’s analytics capabilities.

• Develop and execute a roadmap that balances innovation with scalability, ensuring analytics solutions drive value for enterprise customers.

• Own the customer-facing analytics experience, ensuring insights are actionable, intuitive, and embedded in our platform.

• Work closely with the Director of Engineering - Analytics to translate product requirements into technical architectures, solutions, and implementation plans.