Education Requirements:

• Bachelors/Masters in Computer Science, or equivalent practical experience

Experience Requirements:

• Experience applying machine learning for computer vision/image processing or time-series forecasting; will also consider DL experience with geospatial data, graph data

• 5-8 years of experience with developing ML models, or a PhD degree in a relevant field with 2+ years of industry experience

• 3 years of experience with Python, Golang, or other equivalent languages

Responsibilities:

• Explore, apply, and innovate state-of-the-art machine learning techniques to solve real-world problems on the electric grid

• Explore and de-risk novel technologies to extract data from unlikely sources

• Lead the design and implementation of ML data platforms and service frameworks

• Design and implement robust, automated, production-level software using horizontally scalable components

• Work effectively with cross-functional teams of engineers, product managers, and domain experts

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.

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:

• BA/BS

• Masters

• PhD or equivalent practical experience

Experience Requirements:

• 10+ years experience playing a key role in the successful development and launch of a deep tech product

• Experience building innovative technologies in cross-functional & cross-technology settings

• Both startup experience during various stages of the company’s growth (or lifecycle) while also having an understanding around the complexities and nuances of operating within a large corporation

• Comfort and experience with ambiguous, early-stage projects. Ability to create and grow ideas into viable businesses from the chaotic ground up

• Able to effectively communicate both technical and non-technical information to mixed audiences.

Responsibilities:

• Proposing, assessing, and synthesising new X moonshot investigations

• Develop and evolve project strategy, including offering definition / roadmap, team priorities, and go-to-market plans.

• Perform techno-economic analysis and feasibility analysis

• Craft moonshot proposals with technical experts

• Lead small technical teams composed of internal or external experts to further the state of the art and build proof of concepts

Education Requirements:

• Bachelor's degree in Supply Chain Management, Business Administration, Engineering, or related field.

Experience Requirements:

• Proven experience in capital equipment procurement within a manufacturing environment.

Responsibilities:

• Manage the procurement process from initial purchase requisition to delivery and installation.

• Identify, evaluate, and select suppliers for capital equipment purchases.

• Negotiate pricing, terms, & contracts to ensure cost-effectiveness & quality standards.

• Collaborate with all stakeholders to determine equipment specifications and requirements.

Benefits:

• Competitive salary

• equity

• benefits

Responsibilities:

• Develop key features for the Diagon Marketplace, focusing on both front-end and back-end development.

• Collaborate with cross-functional teams, including product, design, and operations, to deliver user-centric solutions.

• Optimize and integrate AI-powered tools to improve product listings and marketplace efficiency.

• Take ownership of technical decisions, balancing performance, usability, and long-term maintainability.

• Work across the stack, from interactive UI components (React/Next.js) to server-side logic (Server Actions, PostgreSQL, Prisma).

Experience Requirements:

• 3 years of experience/knowledge in device modeling and TCAD simulation

Other Requirements:

• Understanding of semiconductor device physics

• Knowledge in Synopsys TCAD tools

• Willingness to learn new technologies and tools, and apply them quickly

• Knowledge in Verilog-A and Spectre simulations

• Semiconductor process/fabrication knowledge

• Process simulation in TCAD tools

Responsibilities:

• TCAD simulation

• Setting up Verilog-A & Spectre models, and simulation of these

• Simplification of mathematical device models for faster simulation

• Process engineering to fabricate these devices in R&D and volume fabs

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.

Experience Requirements:

• 3년 미만 Sales Operation 또는 Inside Sales 경력

Responsibilities:

• 영업 데이터 관리 및 분석

• 영업 프로세스 최적화

• 계약 및 자산관리 지원

Experience Requirements:

• 경력 0~3년

Responsibilities:

• 기술 문제 발생 시 신속한 분석 및 해결

• 의료기관 및 파트너와의 기술 요구사항 조율 및 협업

• 사용자 피드백 수집 및 분석을 통한 제품 개선

• DICOM 프로토콜을 활용한 PACS 연동 등 설치 프로세스 설계 및 최적화

• 기술 문서 작성 및 관리 (예: 설치 매뉴얼, H/W & S/W 스펙, DICOM conformance statement 등)

Experience Requirements:

• 3년 이상의 SW 개발 경력을 갖추신 분

• 컴퓨터 공학 전공자 혹은 이에 준하는 이론 지식을 갖추신 분

Responsibilities:

• AI Solution 을 활용한 Inference 서비스 개발

• PACS 연동 및 Gateway 개발

• Worklist GUI 개발

Experience Requirements:

• 경력 3~8년

Responsibilities:

• 제품 기능 요구사항 기반 테스트 시나리오 작성 및 수행

• 자동화 테스트 도구를 활용한 반복 검증 프로세스 설계

• 다국어(Localization) 기능 테스트

• 의료 영상 기반 UI 및 워크플로우에 대한 검증

• 테스트 결과 문서화 및 결함 리포팅

Benefits:

• Competitive pay with benefits: employment contract or B2B co-operation

• Fully remote working environment

• A continuous improvement environment, with 10% of your time dedicated to self-development and professional growth activities

• Exceptional conditions for growth: regular brown-bag meetings, workshops, hackathons, trainings and conferences (with a dedicated budget)

• Unique company culture based on mutual trust, honest feedback and autonomy

Responsibilities:

• primarily work on designing and building integrations with EHR systems for the US market

• collaborate with teammates on integration setups

• work closely with external providers and customers to integrate their systems smoothly

Education Requirements:

• Bachelor's or Master's degree in a relevant field (e.g., Environmental Science, Computer Science, Data Science, Engineering, or related field).

Experience Requirements:

• Proven experience in a solutions architect, technical sales, and/or technical account management roles in enterprise software companies (AI, geospatial, data infrastructure preferred).

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid paternity leave, work-life balance support, flexible hours

Education Requirements:

• Chemistry, engineering or other related science degree

Experience Requirements:

• A self-starter with proven critical thinking, problem solving skills and attention to detail

Other Requirements:

• Proficiency in MS Office

• Strong communication skills both written and verbal

• Quick learner, coachable and adaptable; must be able to retain and apply new information quickly

• Strong demonstrated ability to research

Responsibilities:

• Develop formulas, product specifications, processing parameters and create functionality studies for new maintenance chemicals.

• Conduct field trials and collaborate with internal and external customers to evaluate new products/system performance, assist in preparation of reports/presentations.

• Develop standard operating procedures, compatibility studies and evaluation of new equipment.

• Oversee the testing of physical attributes, stability, and performance of products.

• Recognize early failures and discuss with program leader.

Responsibilities:

• Lead Mechanical Engineering workstreams for electromechanical sensor integration onto wearable hardware, ensuring all mechanical aspects of development, performance and reliability are met ensuring program success.

• Work across a full technology and product development cycle to deliver robust mechanical designs from concept to production.

• Partner with cross-functional researchers and engineers develop wearable architectures for AR/VR interaction.

• Engage with Contract Manufacturers and Joint Development Manufacturers to produce high-quality devices meeting yield and specification targets.

Responsibilities:

• Contribute to the development of complex subsystems, own the development of moderately complex subsystems, or own the development of simple systems under the direction of a technical lead

• Design schematics, evaluate components, direct board layout, conduct design reviews and draft design documentations

• Manage bring up and debug, support manufacturing and assembly build

• Collaborate in a team environment and work across engineering disciplines to develop systems and manage trade offs across electronics, mechanics, sensors, haptics, firmware and software

• Evaluate vendor reference design and transform these into custom solutions which meet product and form factor constraints

Benefits:

• Cafeteria system

• Clear terms

• Flexible hours

• Free drinks and snacks

• Private health care Remote work

Education Requirements:

• Master's degree in Computer Science, Mathematics, Physics, or a related field, or equivalent experience

Experience Requirements:

• At least 2 years of experience in deploying ML models in production environments and implementing machine learning solutions, with a focus on practical applications

Other Requirements:

• AWS Certification

• Knowledge of cloud-based data engineering solutions, such as AWS Glue, Azure Data Factory, or Google Cloud Dataflow

• Domain expertise in one or more industries, such as edtech, pharma, fintech, retail, and experience in applying ML solutions in those domains

• Experience in at least one deep learning framework: Pytorch, TensorFlow / Keras

• Demonstrated experience in working with large-scale tabular data that exceeds memory limits

• Fair amount of hours spent with DBT, SQL and data warehouses

• Previous exposure to business - communicating with stakeholders, gathering requirements for the project, demonstrating project outcomes to clients, supporting decision-making processes in non-tech companies or similar activities

• Personal projects, hackathons, summer schools, volunteering, applying ML to your hobby or other initiatives related to AI

Responsibilities:

• driving value-focused AI projects

• shaping our evolving tech stack

• creating optimized processes for implementing ML models and monitoring them in a production environment

• work with clients to help them do this and build their internal expertise

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

Experience Requirements:

• 7+ years of proven experience with high-quality infrastructure solutions in a collaborative environment including coding standards, code reviews, source control management, build processes, testing, and operations experience

• 3+ years of experience building infrastructure solutions in at least one major cloud provider (AWS, Azure, or GCP)

• Expert proficiency in Kubernetes. Experience in building and running software systems on Kubernetes clusters in production

• Expert proficiency in Kubernetes architecture and operations including resource management scheduling, auto-scaling and cluster networking

• Hands-on experience with infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles

Responsibilities:

• Develop a fully-featured Kubernetes platform built around industry standards to improve developer experiences and enable self-service capabilities

• Work closely with internal application teams to improve their Kubernetes onboarding experience

• Work with app teams to understand their potential challenges and help them choose the best way to architect their systems on Kubernetes

• Design and implement new platform features to meet business and internal team goals

• Monitor and maintain the performance and reliability of the existing Kubernetes platform clusters, and identify and troubleshoot any issues that may arise