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

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

Education Requirements:

• PhD or Master's in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent fields

Experience Requirements:

• Experience in ML/AI product development and iterative work

• Experience in general programming languages: Python, C++, Java, R.

• Experience working with any of the following machine learning frameworks / libraries- sklearn, tensorflow, Pytorch, numpy, scipy, spacy

• Preferred experience within NLP and semantic technologies with understanding of fundamental linguistic and grammatical concepts and their use in NLP applications

• Experience with research communities and/or efforts, including having published papers (being listed as author) at NLP field

Other Requirements:

• 3+ relevant work experience, including internships, full time industry experience or as a researcher in a lab

Responsibilities:

• Develop and maintain NLP algorithms, language models and pipelines for English Edu applications.

• Rapidly prototype and build production ready solutions

• Improve and develop machine learning models using state-of-the-art techniques within deep learning.

• Participate in all team activities such as planning, design discussions and reviews, and usability sessions

• Identify the right user experience so that the output of your ML workflows can be integrated and be easily interpretable for, and actionable by, the business users

Benefits:

• Career Growth

• Remote-First

• Unlimited PTO

• Health benefits (medical, dental, vision)

• Paid family leave

Benefits:

• Career Growth

• Remote-First

• Unlimited PTO

• Health benefits (medical, dental, vision)

• Paid family leave

Benefits:

• Work for a company with an impactful mission

• Early-stage startup, plenty of opportunities to grow and develop

• Flexibility with remote work

• Compensation includes equity

Education Requirements:

• Master’s degree in Computer Science or another relevant field

Experience Requirements:

• Proven experience in building end-to-end complex AI-based systems

Other Requirements:

• Strong software development skills and attention to detail when building modular code in Python

Responsibilities:

• Design, develop, and implement end-to-end AI solutions

• Research, prototype, and apply the latest discoveries and methods in AI

• Make a significant impact on our product

Responsibilities:

• Conducting research and developing algorithms for computer vision and machine learning.

• Implementing and testing algorithms on real-world data.

• Working with the engineering team to integrate algorithms into products and services

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 5+ years of experience at leading chat, social media, or UGC product companies

Other Requirements:

• Strong intuition for choosing the right questions to ask and quickly driving to key insights

• Excel at turning findings into actionable next steps and working with engineering to execute

• Enjoy leaning into high velocity experimentation

• Capable of standing up Character.AI's data science efforts, including the tools and systems that you will need to work effectively as we scale

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• at least PhD (or equivalent) research experience

Other Requirements:

• Write clear and clean production system code

• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)

• Track record of exceptional research or creative ML systems projects

• Comfortable writing model development code (PyTorch) for either training or inference

Responsibilities:

• Work on cutting-edge ML training and inference systems

• Optimize the performance and efficiency of our GPU clusters

• Develop new technologies that fine-tune leading consumer AI models

• Serve 20K+ QPS in production with LLMs

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• preferably 2+ years of industry experience

Other Requirements:

• Deep understanding of the “whole stack” when it comes to designing, training, evaluating and deploying machine learning models

• Have a track record of successfully owning projects from start to finish

• Have experience with generative models for various modalities

• Experience working with proven tools

• Experience working with diffusion models

Responsibilities:

• Determining the type of training data we need

• Developing new model architectures

• Creating new evaluations

• Writing fast inference algorithms

• Working with product teams to integrate feedback mechanisms into the product

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• at least PhD (or equivalent) research experience

Other Requirements:

• Write clear and clean production-facing and training code

• Experience working with GPUs (training, serving, debugging)

• Experience with data pipelines and data infrastructure

• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)

• Track-record of exceptional research or creative applied ML projects

Responsibilities:

• Develop alignment algorithms and loss functions

• Write data pipelines to process diverse web data

• Identify quality signals to understand our model’s performance

• Design sampling algorithms to improve serving efficiency

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 4+ years of experience supporting the infrastructure within an ML environment

Other Requirements:

• Experience in developing tools used to diagnose ML infrastructure problems and failures

• Experience with cloud platforms (e.g., Compute Engine, Kubernetes, Cloud Storage)

• Experience working with GPUs

Responsibilities:

• Provide infrastructure support to our ML research and product

• Build tooling to diagnose cluster issues and hardware failures

• Monitor deployments, manage experiments, and generally support our research

• Maximize GPU allocation and utilization for both serving and training