AI Jobs

Benefits:

• Comprehensive medical, vision, and dental coverage

• 401(k) retirement plan

• Short & long-term disability insurance

• Life insurance

• Unlimited PTO

Education Requirements:

• Bachelor's degree, preferably in Business, Marketing, Communication, or Economics

Experience Requirements:

• 5+ total years of professional work experience

• 3+ years experience in running media and advertising engagement with customers

• Experience in managing Ecommerce marketing budgets (Amazon, Walmart, etc.)

• Experience managing Amazon search marketing budgets in the multi-million dollar range

Other Requirements:

• Advanced Excel skills

• Proven experience working with VP, SVP, and C-level executives

• Track record of retaining and renewing Enterprise customers

Responsibilities:

• Manage end-to-end execution of advertising campaigns on marketplaces

• Plan, organize and manage all phases of a joint success plan

• Analyze campaign performance data to identify trends and actionable recommendations

• Partner with Product and Engineering to leverage platform capabilities

• Collaborate with internal teams to shape new features

Benefits:

• Comprehensive medical, vision, and dental coverage

• 401(k) retirement plan

• Short & long-term disability insurance

• Life insurance

• Unlimited PTO

Education Requirements:

• Bachelor's degree, preferably in Business, Marketing, Communication, or Economics

Experience Requirements:

• 5+ total years of professional work experience

• 3+ years experience running paid media, specifically managing Amazon DSP campaigns

• Experience using Amazon Marketing Cloud (AMC) to perform campaign analysis

• Experience managing multi-million dollar display marketing budgets

Other Requirements:

• Advanced Excel skills

• Excellent presentation and communication skills

• Track record of renewing Enterprise customers in the SaaS space

Responsibilities:

• Plan, organize, and manage all display advertising campaigns

• Liaison between Amazon Advertising, Walmart Connect and clients

• Perform deep data analysis to answer strategic questions

• Coordinate with technical support and engineers to resolve service requests

• Advise Sales team on upselling & cross-selling opportunities

Education Requirements:

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or Statistics

Experience Requirements:

• 7+ years of hands-on experience in applied machine learning and data science

• 2+ years in a leadership or managerial role

• Success in adapting foundation models through fine-tuning or transfer learning

Other Requirements:

• Expertise with PEFT approaches (LoRA, prefix tuning, etc.)

• Proficiency in PyTorch, TensorFlow, and Hugging Face

• Knowledge of GPU/TPU optimization and scaling ML workloads

Responsibilities:

• Lead and mentor a team of applied scientists and ML engineers

• Translate cutting-edge research into practical, scalable business solutions

• Design, evaluate, and improve models using robust validation strategies

• Collaborate with product, engineering, and business stakeholders

• Articulate complex ML concepts to technical and non-technical audiences

Education Requirements:

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or Statistics

Experience Requirements:

• 3+ years of hands-on experience in applied machine learning and data science

• Experience training and fine-tuning large-scale models (LLMs, transformers)

• Experience working on applied AI problems across NLP or computer vision

Other Requirements:

• Hands-on expertise with PEFT approaches such as LoRA

• Proficiency in PyTorch, TensorFlow, and Hugging Face

• Knowledge of GPU/TPU optimization and mixed precision training

Responsibilities:

• Design, evaluate, and improve models using validation strategies

• Adapt foundation models to domain-specific applications

• Collaborate with product and engineering stakeholders

• Translate research into practical, scalable solutions

• Provide technical guidance to junior scientists

Education Requirements:

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or Statistics

Experience Requirements:

• 5+ years of hands-on experience in applied machine learning and data science

• Experience in training and fine-tuning large-scale models

• Proven record of adapting foundation models through transfer learning

Other Requirements:

• Expertise in PEFT approaches and quantization-aware training

• Proficiency in Spark, Databricks, or cloud-native ML services

• Excellent communication and presentation skills

Responsibilities:

• Lead and mentor a team of applied scientists and ML engineers

• Design, evaluate, and improve models using bias/fairness checks

• Work with product and engineering teams to deliver AI solutions

• Translate research breakthroughs into scalable production systems

• Ensure performance optimization of AI models

Benefits:

• Comprehensive medical, vision, and dental coverage

• 401(k) retirement plan

• Short & long-term disability insurance

• Life insurance

• Paid parental leave

Education Requirements:

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

Experience Requirements:

• 5+ years of experience in backend software engineering

• 2+ years leading AI/ML teams

• Hands-on experience training AI/ML models

• Proven experience building and deploying agentic applications

Other Requirements:

• Must be located in the Toronto area

• Fluency in Python, Java, Scala, or C++

• Knowledge of ML toolkits (PyTorch, TensorFlow, LangChain, etc.)

Responsibilities:

• Partner directly with cofounders to set AI engineering strategy

• Hire, lead, and mentor a founding AI engineering team

• Act as a player-coach: contribute to architecture and model training

• Design and build scalable ML infrastructure for production

• Lead the development and launch of agentic applications

Experience Requirements:

• 8-10+ years of software engineering experience

• 3+ years in Senior IC roles

• In-depth knowledge of LLMs and agent frameworks (LangChain, LlamaIndex)

• Strong expertise in vector DBs (FAISS, Pinecone, Milvus)

Other Requirements:

• Proficient in Python and at least one systems language (Go, Java, or C++)

• Track record with RAG pipelines

• Strong background in system design

Responsibilities:

• Define and drive architecture for agentic AI systems

• Design frameworks for agents to autonomously analyze data

• Build scalable retrieval systems leveraging vector databases

• Design evaluation datasets and benchmarking frameworks

• Provide technical guidance and mentor engineers

Experience Requirements:

• 8+ years of experience in software engineering

• 3+ years of experience in leading small to medium-sized teams

• Expertise in scalable, distributed systems

Other Requirements:

• Knowledge of AWS, Spark, Databases, and Kubernetes

• Data-intensive application experience (ETL/ELT) is a plus

• High level of independence

Responsibilities:

• Build a reliable, scalable crawl platform for unified data

• Define and drive technical strategy and team roadmap

• Lead high-impact projects and handle ambiguous problem statements

• Own system design, architecture, and observability

• Mentor and lead engineers, fostering technical excellence

Education Requirements:

• Bachelor’s degree

• MBA preferred but not required

Experience Requirements:

• 5+ years of experience in tech, VC, consulting, finance, or operations in a high growth startup environment

Other Requirements:

• Scrappy, get shit done mentality

• Willingness to coach and be coached

Responsibilities:

• Commercial Strategy Development

• Operational Excellence and Performance Monitoring

• Team Building and Management

• Stakeholder Management and Fundraising

• Oversee project budgets and finances

Education Requirements:

• Bachelor’s degree in computer science, engineering, or a related field, or equivalent experience

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Experience with scalable training-inference pipelines

• Familiarity with AWS, GCP, Azure, etc.

• Proficiency in Python, Bash, or PowerShell

• Proficiency in frameworks like PyTorch or TensorFlow

• Experience with Docker and Kubernetes

Responsibilities:

• GPU Programming

• Cloud Supercomputing

• Host Management

Education Requirements:

• Bachelor’s degree in computer science, engineering, a related field, or equivalent experience

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Willingness to dive into large ML codebases for debugging

• Demonstrated experience with deep learning and transformer models

• Proficiency in frameworks like PyTorch or TensorFlow

Responsibilities:

• Collaborate with researchers and scientists to implement and scale POC models

• Rapidly implement state-of-the-art methods from literature

• Train large-scale foundation models

• Build distributed training systems on HPC clusters

• Debug and customize third-party source code

Education Requirements:

• PhD degree in computer science, engineering, a related field, or equivalent experience

Experience Requirements:

• 5+ years of experience in relevant jobs

• Proven track record of successful machine learning research projects

Other Requirements:

• First-author publications at peer-reviewed AI conferences

• Strong scientific understanding of generative AI

• Proficiency in frameworks like PyTorch or TensorFlow

Responsibilities:

• Deep understanding of machine learning research

• Manage and execute a research agenda

• Developing proof-of-concept models

• Preparation and writing of technical and scientific papers

Education Requirements:

• Bachelor’s degree

• MBA preferred but not required

Experience Requirements:

• 5+ years of experience in tech, VC, consulting, finance, or operations in a high growth startup environment

Other Requirements:

• Scrappy, get shit done mentality

• Willingness to coach and be coached

Responsibilities:

• Commercial Strategy Development

• Operational Excellence and Performance Monitoring

• Team Building and Management

• Stakeholder Management and Fundraising

• Oversee project budgets and finances

Education Requirements:

• Bachelor’s degree in computer science, engineering, or a related field, or equivalent experience

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Experience with scalable training-inference pipelines

• Familiarity with AWS, GCP, Azure, etc.

• Proficiency in Python, Bash, or PowerShell

• Proficiency in frameworks like PyTorch or TensorFlow

• Experience with Docker and Kubernetes

Responsibilities:

• GPU Programming

• Cloud Supercomputing

• Host Management

Education Requirements:

• Bachelor’s degree in computer science, engineering, a related field, or equivalent experience

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Willingness to dive into large ML codebases for debugging

• Demonstrated experience with deep learning and transformer models

• Proficiency in frameworks like PyTorch or TensorFlow

Responsibilities:

• Collaborate with researchers and scientists to implement and scale POC models

• Rapidly implement state-of-the-art methods from literature

• Train large-scale foundation models

• Build distributed training systems on HPC clusters

• Debug and customize third-party source code

Education Requirements:

• PhD degree in computer science, engineering, a related field, or equivalent experience

Experience Requirements:

• 5+ years of experience in relevant jobs

• Proven track record of successful machine learning research projects

Other Requirements:

• First-author publications at peer-reviewed AI conferences

• Strong scientific understanding of generative AI

• Proficiency in frameworks like PyTorch or TensorFlow

Responsibilities:

• Deep understanding of machine learning research

• Manage and execute a research agenda

• Developing proof-of-concept models

• Preparation and writing of technical and scientific papers

Benefits:

• Pleasant, inclusive, and creative workplace

• Work with leading European companies

• Hands-on experience with cutting-edge AI

• Modern offices in Oslo, Stockholm, and Amsterdam

• Personal Development Hours (6 hours/month)

Experience Requirements:

• 3+ years of experience in Account Management, Account Executive, or Key Account Success within a SaaS environment

Other Requirements:

• Excellent communication in a Nordic language and English

• Strong understanding of SaaS metrics

• Experience with AI, chatbot platforms, or CRM systems (plus)

Responsibilities:

• Manage and nurture a portfolio of existing customers

• Develop a deep understanding of each customer’s business goals

• Create and execute strategic account plans

• Identify upsell and cross-sell opportunities

• Conduct regular strategic business reviews

Benefits:

• Pleasant, inclusive, and creative workplace

• Career opportunities for development

• Large degree of professional freedom

• Modern office situated in Amsterdam

• Personal Development Hours (6 hours)

Experience Requirements:

• Familiar with outbound prospecting via email and phone

Other Requirements:

• Fluent in Dutch and English

• Ambitious to meet and exceed targets

• Positive attitude and curious mindset

Responsibilities:

• Manage, nurture, and grow pipeline via prospecting

• Maintain minimum call and email volume

• Proactively seek new business opportunities in the Dutch market

• Track and report daily activities using HubSpot and Salesloft

• Partner with Account Executives

Benefits:

• Pleasant, inclusive, and creative workplace

• Career opportunities for development

• Professional freedom

• Modern office in Amsterdam

• Personal Development Hours (6 hours)

Experience Requirements:

• At least 3 years of experience in B2B sales within the SaaS industry

Other Requirements:

• Fluent Dutch and good English

• Experience in outbound sales

• Ability to work independently in a fast-paced environment

Responsibilities:

• Work with potential customers in the enterprise segment

• Schedule and conduct meetings with support managers and IT directors

• Build and manage a sales pipeline

• Lead the entire sales process from prospecting to contract negotiations

Benefits:

• Small and experienced team

• Collaboration with known Nordic and global brands

• Modern tech stack

• High impact on technology choices

• Modern offices

Education Requirements:

• Formal CS or engineering background

Experience Requirements:

• 3-5 years of experience as a Software Engineer, Solutions Engineer, or in customer-facing engineering

Other Requirements:

• Strong hands-on experience with Python, TypeScript, JavaScript and NodeJS

• Comfortable working with non-technical stakeholders

• Strong system design instincts

Responsibilities:

• Design and build scalable integrations between AI agent platform and third-party systems

• Own integrations end to end including architecture and release

• Work directly with customers to translate business needs into technical solutions

• Act as a technical advisor and challenge assumptions

• Partner with Sales and CSM teams to scope integrations