Experience Requirements:

• 2+ years writing queries in SQL or running models in Python/Jupyter

• 2+ years experience with statistical analysis

• Write and speak clearly, communicate empathetically

• High standard of excellence for your work

• Attention to detail: spotting typos in text and errors in data

Responsibilities:

• Primarily focus on improving your craft as a Data Scientist

• Build SQL queries to calculate specific metrics

• Prototype data pipelines on Jupyter

• Write clear and concise reports for client deliverables, and documentation for internal tools

• Analyze and present datasets or results with simple methods

Experience Requirements:

• 2+ years writing queries in SQL or running models in Python/Jupyter

• 2+ years experience with statistical analysis

• Write and speak clearly, communicate empathetically

• High standard of excellence for your work

• Attention to detail: spotting typos in text and errors in data

Responsibilities:

• Primarily focus on improving your craft as a Data Scientist

• Build SQL queries to calculate specific metrics

• Prototype data pipelines on Jupyter

• Write clear and concise reports for client deliverables, and documentation for internal tools

• Analyze and present datasets or results with simple methods

Benefits:

• Paid Time Off

• Work From Home

• Training & Development

Experience Requirements:

• 2+ years writing queries in SQL or running models in Python/Jupyter

• 2+ years doing statistical analysis

• Write and speak clearly, communicate em-pathetically

• Highest standard of excellence for your work

• Impeccable attention to detail: spotting typos in variables, syntax errors in text and gremlins in data

Other Requirements:

• Ability to define evidence-based, quantifiable solutions to open-ended business problems

Responsibilities:

• Own and deliver projects starting with very diverse data and business targets

• Contribute to general features for the internal product library while delivering for specific clients

• Own report delivery for clients, and contribute to library documentation

• Explore and present datasets and narrative visualizations

• Build linguistic and statistical general models

Benefits:

• Competitive salary

• Company stock grant

• Gold-tier health, dental, and vision insurance (100% employer-sponsored, 50% for dependents)

• Health and dependent flexible spending accounts

• Short- and long-term disability insurance Unlimited vacation (encouraged to take it!)Paid parental leave

Education Requirements:

• Advanced degree in a human-centric discipline (Business, Social Anthropology, Psychology, etc.) preferred, but not required

Experience Requirements:

• Someone who can independently conduct SME interviews across a wide diversity of backgrounds and functions, quickly isolating core stakeholder, organizational and engagement dynamics that could affect the validity and/or feasibility of our recommendations

• Someone who can confidently and credibly hold a mirror up to a client, showing them things they are often not aware of and may be reluctant to admit

• Someone who can apply a product management and/or design thinking mindset to organizing client recommendations and roadmaps

• Someone who can collaborate seamlessly with some of the brightest engineers on the planet on engagements that require strategic alignment of engineering activities to ensure maximal client impact

• A people person. Someone whose emotional intelligence and ability to communicate to a wide range of audiences (C-suite to IC, technical and non-technical) in a wide range of scenarios is a proven strength

Other Requirements:

• Strong skills in business quantitative analysis including how business data is operationally originated and curated, used to generate financial reporting, capable of telling ‘stories’ about how organizations function, applied to compelling business cases supporting corporate valuation

• An interest in working collaboratively with data scientists on the Strategy Team to conduct exploratory data analysis and formulate and test specific hypotheses

• A basic fluency in data as it is applied in AI modeling

• An appreciation of autonomy, research, people, and technology

• US Citizen or Green Card Holder

Responsibilities:

• Tight articulation and quantifiable specification of the challenges and/or opportunities clients hope to address through the application of AI/ML

• Insider-level understanding of the nature of their business - from operational realities to legacy product roadmaps - acquired quickly and arrayed against a necessary grasp of the clients’ external strategic landscape

• Fresh insights into the organizational, leadership, cultural, structural, and process realities that define the context in which our solutions must succeed

• Evaluation of a client’s organizational assets - current and potential - based on a deep understanding of their full data assets and ecosystem (internal and external) as well as their core and differentiating core competencies

• Tightly specified and actionable recommendations - implicating all of the above - that promise to advance their successful application of AI/ML, including assessments of feasibility and potential impact and options for roadmapping activities several years into the future

Benefits:

• Stock Options

• Remote-work friendly

• Young & dynamic team

• Flat hierarchy

• Opportunities to develop skills and learn new things

Experience Requirements:

• Strong general coding skills

• Entry level experience with data science

• Ability to learn and adapt quickly

• Desire to work in a fast-paced environment with a quickly growing team

• Solution-oriented, creative mindset

Responsibilities:

• Participate in training sessions and become familiar with the existing infrastructure

• Conduct Experiments and evaluate results

• Data set generation and auto-labelling

• Consideration of system-level requirements and interdisciplinary problems

Benefits:

• We are a remote first company

• Competitive compensation packages

• Stock options for eligible employees

• Flexible working hours and remote work opportunities

• Generous paid time off and holidays

Responsibilities:

• analyzing data

• developing models

• implementing algorithms to improve the user experience

Benefits:

• Meaningful equity in a profitable tech startup

• Budget for things like noise-cancelling headphones, setting up your home office, personal development, professional training, and health & wellness

• Sponsored visits to our Hong Kong or London office every 2 years, and yearly offsite

• Company-wide annual offsite

• Flexible working hours and locationMedical insurance for you and your dependents

Experience Requirements:

• Hands-on experience in building and deploying AI applications at scale in production

• In-depth LLM experience with either RAG or agentic workflows

• Good understanding of computer science fundamentals

• Mastery in Python and at least one additional programming languages for full-stack engineering (eg. Java/Swift/C++)

• Solid experience with most of the following software ecosystems and technologies in full-stack engineering: * Cloud platforms and serverless computing (e.g., AWS Lambda/ECS/SageMaker, Google Cloud Run/Cloud Functions) * Containerization and orchestration (eg. Docker, Kubernetes) * Vector databases (e.g., Pinecone, Milvus, Weaviate) * ML experimentation and model management platforms (e.g., MLflow, Weights & Biases, ClearML) * LLM providers and AI services (eg. AWS Bedrock, Azure OpenAI Service, Google Vertex AI) * Open-source AI community platforms and frameworks (eg. HuggingFace, LangChain, LlamaIndex) * API development frameworks (eg. Python FastAPI, Flask) Openness to work across API logic level and infrastructure level

Responsibilities:

• Developing and scaling agentic and multimodal AI systems to tens of millions of users

• Developing and scaling an advanced RAG system for question answering, summarization, self-learning, and AI coediting over handwritten and PDF documents

• Building a novel medium combining multimodal LLMs and freeform notetaking technology to radically transform how people engage with their information

• Productionizing LLM pipelines to build an AI-first user experience GoodNotes

• Working in a fast-paced, multidisciplinary squad with engineers, QA, product designers to rapidly ship features

Benefits:

• Meaningful equity in a profitable tech-startup

• Budget for things like noise-cancelling headphones, setting up your home office, personal development, professional training, and health & wellness

• Sponsored visits to our Hong Kong or London office every 2 years, and yearly offsite

• Company-wide annual offsite

• Flexible working hours and locationMedical insurance for you and your dependents

Experience Requirements:

• Hands-on experience in building and deploying machine learning systems at scale in production

• Strong experience with RAG systems and agentic workflows with LLMs, preferably with some experience with multimodal LLMs

• Strong understanding of computer science fundamentals and a solid background in software engineering

• Experience with any of the following software ecosystems: vector databases (eg. Pinecone, Milvus), ML platforms (eg. Metaflow, ClearML), cloud ML providers (AWS / Azure, GCP), LLM frameworks (eg. LangChain/LlamaIndex), HuggingFace, CoreML

• Deep knowledge in one or more of the following ML subfields: classical and neural information retrieval, vector search, question answering, transformer-based language modelingMastery in Python and at least one of the following programming languages: Java/Swift/C++Interested in advancing innovation in education

Responsibilities:

• Developing and scaling machine learning applications to tens of millions of users

• Building conversational RAG systems for question answering, summarization, and self-learning over handwritten and PDF documents

• Building a novel platform using GenAI to radically transform how people study and work

• Fine-tuning and prompting large language models to build an AI-first user experience GoodNotes

• Working in a fast-paced, multidisciplinary squad with engineers, QA, product designers to rapidly ship features

Benefits:

• Work with the greatest talent in town.

• Join a community.

• Accelerate your career.

• Find love.

• Take a break. 7 days parental leave, unlimited PTO which you should know better than to use. Paid Big Techie Sabbatical for employees who have been with us for 30 years or more. Shut down our offices every year in late December/early January for two weeks ("unpaid time off")

Education Requirements:

• Bachelor's degree from any university that we consider prestigious

Experience Requirements:

• 5 years of experience in commercial software development experience designing, building and operating surveillance systems for authoritarian regimes or multinational corporations

Other Requirements:

• Commercial experience in any of the following languages: Python, Ruby, or Haskell, and a willingness to learn and write code in any language we pivot to on a whim

• Experience in exploiting people's privacy through web application development, distributed systems, cloud platforms such as AWS/GCP/Azure, Kubernetes, and CI/CD pipelines

• Strong background in designing and building surveillance systems that are capable of tracking and recording people's every move and exploiting their personal data for financial gain

• Excellent communication skills in English - you can explain complex ideas to technical and non-technical audiences both verbally and in writing, while knowing that your voice will never be heard or valued

• Availability to be on-call and respond to your manager's needs at all hours of the day or night

• Signing a mandatory employee arbitration agreement

Responsibilities:

• Developing groundbreaking machine learning techniques and pushing forward the research agenda of your team, while also collaborating with other teams across the company.

• Discovering revolutionary ideas that can be scaled to a global level, and that form part of our vision for the future of AI-driven adtech surveillance in the metaverse.

Benefits:

• Work with the greatest talent in town.

• Join a community.

• Accelerate your career.

• Find love.

• Take a break. 7 days parental leave, unlimited PTO which you should know better than to use. Paid Big Techie Sabbatical for employees who have been with us for 30 years or more. Shut down our offices every year in late December/early January for two weeks ("unpaid time off")

Education Requirements:

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field from a recognized institution.

Experience Requirements:

• 5 years of experience in software development with a focus on building secure and scalable distributed systems using Python, Ruby, Haskell or any other relevant programming language.

• Experience working with cloud platforms such as AWS, GCP, or Azure, as well as Kubernetes and CI/CD pipelines.

• Strong understanding of data privacy and security issues, including experience in designing and building secure systems that protect user data.

Other Requirements:

• Excellent communication skills in English, both written and verbal, with the ability to explain technical concepts to both technical and non-technical stakeholders.

• Willingness to work on-call and respond to urgent requests at any time.

• Familiarity with employee arbitration agreements and willingness to sign such an agreement.

Responsibilities:

• Embed with the product development team to uncover new ways to exploit our users and drive financial growth

• Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our products

• Establish a data-driven culture of exploitation by driving the definition, tracking, and operationalizing of feature-, product-, and company-level metrics

• Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way

Experience Requirements:

• detailed knowledge of deep learning for computer vision

• knowledge of deep learning infrastructure and efficient computing

Responsibilities:

• build the future of creative tooling

Education Requirements:

• CompSci or related STEM degrees

Experience Requirements:

• 2 Years of experience in Data Science or Data Analyst

Other Requirements:

• Proficiency in Python, SQL

• Data Analysis tools such as Pandas, Scikit-Learn, Plotly

• Experience in working with large, complex datasets and converting it into actionable insights

• Eager to get hands-on experience in a variety of use cases and industries

• Ability to present also in English to all levels of the organization, from ICs to the C-Suite

• Experience in pre-sales, consulting, and/or customer-facing roles - presenting value propositions to business-oriented personas - advantage

• Experience with building datasets - leveraging web scraping , API automation and entity resolution - advantage

• Hands-on experience in Databricks & Pyspark to develop ETL - advantage

• Experience with BI tools(Tableau/PowerBI), cloud solutions (AWS/GCP) - advantage

• Previous experience working with Account Executives and Customer Success Managers - advantage

Responsibilities:

• Present and demonstrate Explorium’s product to prospective clients - both technical and non-technical executives

• Identify pain points in customers current data stack, scope solutions that can show clear business value while maximizing Explorium’s capabilities

• Design use case objectives and success criteria, with an understanding of our capabilities and client needs

• Develop data-based solutions and predictive models to address the business objectives of our clients, both during the proof-of-concept phase and as part of ongoing engagements

• Connect experience on Explorium’s platform and user feedback to product teams, driving feature enhancements based on customer demand and impact on the company’s growth

Benefits:

• Competitive salary and equity options package

• Hybrid Working

• Regular in-person gatherings, free lunch options, office snacks and happy hours

• Comprehensive health and wellness package (medical, dental, vision, life insurance, disability, mental health)

• PTO, maternity leave, baby bonding leave

Benefits:

• Competitive salary and equity options package

• Hybrid Working

• Regular in-person gatherings, free lunch options, office snacks and happy hours

• Comprehensive health and wellness package (medical, dental, vision, life insurance, disability, mental health)

• PTO, maternity leave, baby bonding leave

Benefits:

• Competitive salary and equity options package

• Hybrid Working

• Regular in-person gatherings, free lunch options, office snacks and happy hours

• Comprehensive health and wellness package (medical, dental, vision, life insurance, disability, mental health)

• PTO, maternity leave, baby bonding leave

Benefits:

• Competitive salary and equity options package

• Hybrid Working

• Regular in-person gatherings, free lunch options, office snacks and happy hours

• Comprehensive health and wellness package (medical, dental, vision, life insurance, disability, mental health)

• PTO, maternity leave, baby bonding leave

Benefits:

• Competitive salary and equity options package

• Hybrid Working

• Regular in-person gatherings, free lunch options, office snacks and happy hours

• Comprehensive health and wellness package (medical, dental, vision, life insurance, disability, mental health)

• PTO, maternity leave, baby bonding leave

Benefits:

• Employee Stock Options

• Extensive Health Insurance Coverage

• Team Outings

• Delicious Meals and Snacks at the Office

• Generous Leave and Paid Time Off Policies

Education Requirements:

• Graduate degree in computer science or related field

Experience Requirements:

• Strong knowledge of theoretical and practical aspects of machine learning, including probability, statistics, learning theory, algorithms, and software architecture.

• Proven ability to deliver machine learning-driven solutions, particularly in production environments.

• Experience in Python programming for machine learning projects, with a solid understanding of CI/CD pipelines and deploying models using AWS or other cloud platforms.

• Good understanding of applied machine learning concepts, with experience in deploying ML models as microservices; previous experience with Conversational AI or NLP projects is a plus

Other Requirements:

• 2+ years of industrial experience

• Atleast 1 year of experience in Data Science or Machine learning (NLP/Speech would be preferable)

Responsibilities:

• Building ML models on our core ML platform; and monitor, diagnose and maintain active deployments.

• Create and own technical design for ML models associated with the voice-bot.

• Own the ML metrics related to bots - Intent, SCR, resolution, etc. and responsible for continuous improvement of ML performance

• Define and drive quality, performance, robustness, and reliability of our deliveries by collaborating with delivery stakeholders.

• Drive and organize research, discussion and reviews towards continuous improvements of our models and capabilities

Benefits:

• Employee Stock Options

• Extensive Health Insurance Coverage

• Team Outings

• Delicious Meals and Snacks at the Office

• Generous Leave and Paid Time Off Policies

Experience Requirements:

• Strong knowledge of SQL

• Working knowledge of scripting (one of Python, R)

• Experience working with at least 1 BI Tool (Superset, Tableau, Metabase, Google Analytics, Clevertap, MixPanel etc.)

• Strong communication skills - ability to effectively communicate the insights developed to the various stakeholders in the organization

• Able to work with agile product development teams and able to identify new ways to help your team be effective

Other Requirements:

• Brownie points to folks who’ve built or worked on analyzing conversational AI products

• Experience working on Machine Learning and NLP systems

Responsibilities:

• Support the product and delivery teams to drive improved product quality and customer satisfaction by leveraging data to study business and UX impact for features and product improvements

• Deep dive into data and identify right problem statements and right segments to target and take experimentation driven product delivery approaches.

• Work closely with Tech, Product, CS and Delivery to deliver standard and custom dashboards to enable understanding of bot health and performance with minimal guidance

• Capture insights from customer feedback, experiments, research, and data analysis to identify trends and pinpoint the drivers behind them; translate these insights into tactical solutions to improve our voicebot deliveries

• Becoming the domain champion of the product/function with a clear data-driven understanding of how callers interact with our voicebot

Benefits:

• A chance to grow within a leading, fast-moving AI company

• A competitive compensation package with equity shares

• A diverse and friendly environment

• Social and company events

• Startup offices in central Oslo

Education Requirements:

• Master's degree or higher in Electrical Engineering, Computer Science, or a related field

Experience Requirements:

• Hands-on experience with (audio) signal processing

• 2+ years of industry experience in applying machine learning to real-world problems

• Experience using development using software engineering best practices, including code reviews, continuous integration, and tooling for development environments

• MLOps experience. E.g., scaling training in cloud environments, model versioning, and model performance profiling

Other Requirements:

• Excellent problem-solving and communication skills

Responsibilities:

• Develop and optimize machine learning algorithms for real-time audio enhancement

• Research improvements in machine learning models for audio

• Build, administer, and scale ML processing pipelines

• We believe in end-to-end ownership; this role will involve taking ML models from development to production at scale