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

Experience Requirements:

• Experience with finetuning large language models

• 2+ years of experience working directly with large language models

• Deep knowledge of machine learning frameworks such as Pytorch and Deepspeed.

• Strong background in programming languages such as Python and C++

• Entrepreneurial spirit and willingness to adjust to dynamic customer needs

Other Requirements:

• Desire to grow quickly by going above and beyond expectations

Responsibilities:

• Design and run experiments on how to best finetune our in-house LLM models.

• Deploy these custom models end-to-end alongside our ML engineering team.

• Build new MLOps tools from 0 > 1 inside our existing platforms.

• Work closely with leadership and customers to understand large-scale recruiting and HR pain points, and develop state-of-art machine learning solutions for them.

• Write production ready code with speed, cost, and usability in mind

Benefits:

• Competitive compensation packages, including equity

• Remote work culture

• Health, dental and vision insurance

• Mental healthcare support and services

• 401(K) plan

Education Requirements:

• MS/Ph.D. in computer science, mathematics, or another quantitative discipline or exceptional work experience in ML engineering

Experience Requirements:

• 1-3 years ML Experience

• Experience developing machine learning-driven products at scale

• Experience solving problems using Machine Learning with PyTorch

• Exceptional understanding of designing ML systems in production at scale and applying a quantitative approach to identifying performance bottlenecks and cost/performance tradeoffs

• Practical experience with large data systems, data models, and batch and streaming data pipelines

Other Requirements:

• Ability to ramp up quickly on our tech stack, which includes GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js

• Extensive experience with model deployment, both static within applications and dynamic, using Flask, FastAPI, or similar frameworks

Responsibilities:

• Build and maintain a training pipeline for fine-tuning open-source LLMs

• Serve and Deploy the LLM on GPUs

• Formulate novel product issues to ML problems and propose and iterate on solutions quickly

• Triage customer issues to model/system shortcomings and communicate the complex architecture in a simple, comprehensible way to internal stakeholders

• Keep up with the fast-growing generative AI space and incorporate the latest developments into our system

Benefits:

• Competitive compensation packages, including equity

• Remote work culture

• Health, dental and vision insurance

• Mental healthcare support and services

• 401(K) plan

Education Requirements:

• Ph.D.in Computer Science, Mathematics, or another quantitative field or outstanding professional experience in machine learning engineering

Experience Requirements:

• Over 5 years of industry experience in machine learning, with a proven track record of developing ML-driven products at scale

• Experience building recommender systems, preferably in the e-commerce space

• Demonstrated expertise in tackling complex problems using machine learning frameworks like PyTorch

• A comprehensive understanding of ML system design in production environments, including a quantitative approach to evaluating performance bottlenecks and cost/performance trade-offs

• Hands-on experience with large-scale data systems, sophisticated data models, and batch and streaming data pipelines

Other Requirements:

• Quick adaptability to our technology stack encompasses GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js

• Deep experience in model deployment strategies, utilizing both in-application static methods and dynamic approaches with frameworks like Flask, FastAPI, or equivalents

Responsibilities:

• Architect and oversee development for novel product issues to ML problems and propose and iterate on solutions quickly

• Triage customer issues to model/system shortcomings and communicate the complex architecture in a simple, comprehensible way to internal stakeholders

• Build and maintain pipelines for fine-tuning open-source LLMs

• Serve and Deploy the LLM on GPUs

• Working with Product and Engineering counterparts, translate customer needs and business requirements into long term vision and roadmap at Wizard

Benefits:

• Competitive compensation packages, including equity

• Remote work culture

• Health, dental and vision insurance

• Mental healthcare support and services

• 401(K) plan

Education Requirements:

• MS/Ph.D. in computer science, mathematics, or another quantitative discipline or exceptional work experience in ML engineering

Experience Requirements:

• 3+ years ML Experience

• Experience developing machine learning-driven products at scale

• Experience solving problems using Machine Learning with PyTorch

• Exceptional understanding of designing ML systems in production at scale and applying a quantitative approach to identifying performance bottlenecks and cost/performance tradeoffs

• Practical experience with large data systems, data models, and batch and streaming data pipelines

Other Requirements:

• Ability to ramp up quickly on our tech stack, which includes GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js

• Extensive experience with model deployment, both static within applications and dynamic, using Flask, FastAPI, or similar frameworks

Responsibilities:

• Build and maintain a training pipeline for fine-tuning open-source LLMs

• Serve and Deploy the LLM on GPUs

• Formulate novel product issues to ML problems and propose and iterate on solutions quickly

• Triage customer issues to model/system shortcomings and communicate the complex architecture in a simple, comprehensible way to internal stakeholders

• Keep up with the fast-growing generative AI space and incorporate the latest developments into our system

Benefits:

• Competitive compensation packages, including equity

• Remote work culture

• Health, dental and vision insurance

• Mental healthcare support and services

• 401(K) plan

Education Requirements:

• MS/Ph.D. in computer science, mathematics, or another quantitative discipline or exceptional work experience in ML engineering

Experience Requirements:

• 5+ years ML Experience

• Experience developing machine learning-driven products at scale

• Experience solving problems using Machine Learning with PyTorch

• Exceptional understanding of designing ML systems in production at scale and applying a quantitative approach to identifying performance bottlenecks and cost/performance tradeoffs

• Practical experience with large data systems, data models, and batch and streaming data pipelines

Other Requirements:

• Ability to ramp up quickly on our tech stack, which includes GCP, Kubernetes, Airflow, Pandas, PyTorch, Python, and Node.js

• Extensive experience with model deployment, both static within applications and dynamic, using Flask, FastAPI, or similar frameworks

Responsibilities:

• Build and maintain a training pipeline for fine-tuning open-source LLMs

• Serve and Deploy the LLM on GPUs

• Formulate novel product issues to ML problems and propose and iterate on solutions quickly

• Triage customer issues to model/system shortcomings and communicate the complex architecture in a simple, comprehensible way to internal stakeholders

• Keep up with the fast-growing generative AI space and incorporate the latest developments into our system