🚀 Manager, Applied Research – Generative AI / NLP / IR - $250k DOE Are you driven by the challenge of turning cutting-edge research into real-world impact? We’re hiring a Manager, Applied Research to lead a world-class team of scientists and engineers advancing Generative AI, NLP, and Information Retrieval at scale. You’ll be at the heart of an innovation group shaping the next generation of AI-powered enterprise software—building intelligent systems that redefine how professionals work, search, and make decisions. 🌟 What You’ll Do Build and mentor a high-performing applied research team Transform state-of-the-art AI and LLM research into scalable, production-ready solutions Partner with product and engineering leaders to define and execute an ambitious AI strategy. Oversee ML infrastructure and LLMOps platforms to ensure fast, reliable, and responsible AI delivery. tay ahead of emerging technologies and share insights across technical and non-technical audiences. 💡 About You Proven track record of bringing research to production — you’ve translated novel AI or NLP research into scalable, customer-facing products. Proven leadership experience developing high-performing, collaborative technical teams. Technical depth in modern AI technologies , such as LLM fine-tuning, retrieval and search methods, document understanding, knowledge graphs, and agentic frameworks (e.g. Pydantic, LangGraph). Expertise in Python , cloud infrastructure (AWS/Azure) , MLOps , and LLM architectures (RAG, agents, fine-tuning) . Proven track record of bringing research to production — you’ve translated novel AI or NLP research into scalable, customer-facing products. Research acumen and innovation mindset — whether through publications, patents, or practical breakthroughs, you’ve shown the ability to explore new ideas and create original solutions. Experience in software-driven environments , ideally within product-focused or enterprise software companies. 🌍 Why Join You’ll be part of a collaborative, research-driven environment where your ideas move quickly from experiment to production—impacting professionals around the world. If you’re passionate about applied AI, innovation, and leading teams that turn research into products, we’d love to hear from you. 📍 Locations: Toronto, Eagan (MN), or New York City | 3-days in office 💼 Ready to lead innovation? Hit Apply and let’s build the future of AI together.
Lead Applied Scientist – Applied AI & NLP - $200 - 230k - hybrid (3 days in office)
Are you passionate about building AI systems that make a real-world impact?We’re looking for a Lead Applied Scientist to join an advanced research and development team working at the cutting edge of Machine Learning, Natural Language Processing (NLP), Information Retrieval (IR), and Generative AI.
This role is ideal for someone who thrives on rapid learning and cross-functional collaboration, bringing a GenAI/agentic problem-solving approach and the ability to design end-to-end solutions quickly in highly interactive workshop settings, rather than working in deep silos for months at a time.
What You’ll DoLead the design, development, and deployment of AI solutions from concept to production.Collaborate with product, UX, and engineering teams to align innovation with business value.Translate complex research into scalable, real-world applications.Guide and mentor other scientists and engineers, fostering technical excellence.Stay current with emerging research and technologies in NLP, IR, and generative AI.Contribute to the company’s AI strategy and thought leadership, including participation in top research conferences (ACL, EMNLP, NeurIPS, etc.).
What We’re Looking ForPhD or Master’s degree in Computer Science, AI, or related field (or equivalent experience).7+ years’ hands-on experience developing NLP / IR systems for commercial use.Proven ability to architect and build end-to-end machine learning solutions.Strong programming and software engineering skills (Python preferred).Experience scaling AI prototypes into production environments.Excellent communication and collaboration skills; ability to work with both technical and non-technical partners.Demonstrated leadership in applied research and innovation.
Why JoinWork on high-impact applied AI projects that solve real customer problems.Collaborate with world-class scientists, engineers, and product experts.Contribute to AI strategy while staying hands-on with modern technologies.Enjoy flexibility, autonomy, and opportunities for growth in an environment that values innovation.
Lead Applied Scientist – Applied AI & NLP - $200 - 230k - hybrid (3 days in office)
Are you passionate about building AI systems that make a real-world impact?We’re looking for a Lead Applied Scientist to join an advanced research and development team working at the cutting edge of Machine Learning, Natural Language Processing (NLP), Information Retrieval (IR), and Generative AI.
This role is ideal for someone who thrives on rapid learning and cross-functional collaboration, bringing a GenAI/agentic problem-solving approach and the ability to design end-to-end solutions quickly in highly interactive workshop settings, rather than working in deep silos for months at a time.
What You’ll DoLead the design, development, and deployment of AI solutions from concept to production.Collaborate with product, UX, and engineering teams to align innovation with business value.Translate complex research into scalable, real-world applications.Guide and mentor other scientists and engineers, fostering technical excellence.Stay current with emerging research and technologies in NLP, IR, and generative AI.Contribute to the company’s AI strategy and thought leadership, including participation in top research conferences (ACL, EMNLP, NeurIPS, etc.).
What We’re Looking ForPhD or Master’s degree in Computer Science, AI, or related field (or equivalent experience).7+ years’ hands-on experience developing NLP / IR systems for commercial use.Proven ability to architect and build end-to-end machine learning solutions.Strong programming and software engineering skills (Python preferred).Experience scaling AI prototypes into production environments.Excellent communication and collaboration skills; ability to work with both technical and non-technical partners.Demonstrated leadership in applied research and innovation.
Why JoinWork on high-impact applied AI projects that solve real customer problems.Collaborate with world-class scientists, engineers, and product experts.Contribute to AI strategy while staying hands-on with modern technologies.Enjoy flexibility, autonomy, and opportunities for growth in an environment that values innovation.
Lead Applied Scientist - Applied AI & NLP - $200 - 230k - hybrid (3 days in office)
Are you passionate about building AI systems that make a real-world impact? We're looking for a Lead Applied Scientist to join an advanced research and development team working at the cutting edge of Machine Learning, Natural Language Processing (NLP), Information Retrieval (IR) , and Generative AI .
This role is ideal for someone who thrives on rapid learning and cross-functional collaboration, bringing a GenAI/agentic problem-solving approach and the ability to design end-to-end solutions quickly in highly interactive workshop settings, rather than working in deep silos for months at a time.
What You'll Do Lead the design, development, and deployment of AI solutions from concept to production. Collaborate with product, UX, and engineering teams to align innovation with business value. Translate complex research into scalable, real-world applications. Guide and mentor other scientists and engineers, fostering technical excellence. Stay current with emerging research and technologies in NLP, IR, and generative AI. Contribute to the company's AI strategy and thought leadership, including participation in top research conferences (ACL, EMNLP, NeurIPS, etc.).
What We're Looking For PhD or Master's degree in Computer Science, AI, or related field (or equivalent experience). 7+ years' hands-on experience developing NLP / IR systems for commercial use. Proven ability to architect and build end-to-end machine learning solutions. Strong programming and software engineering skills (Python preferred). Experience scaling AI prototypes into production environments. Excellent communication and collaboration skills; ability to work with both technical and non-technical partners. Demonstrated leadership in applied research and innovation.
Why Join Work on high-impact applied AI projects that solve real customer problems. Collaborate with world-class scientists, engineers, and product experts. Contribute to AI strategy while staying hands-on with modern technologies. Enjoy flexibility, autonomy, and opportunities for growth in an environment that values innovation.
A leading research and innovation organization is seeking a Senior DevOps Engineer to design and maintain AWS infrastructure. This fully remote position within Canada involves collaborating with Data Science and Machine Learning teams, automating workflows, and mentoring team members. Ideal candidates have over 5 years of AWS experience and strong scripting skills in Python. Join a dynamic team focused on impactful projects in AI and Data Science.
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Senior DevOps Engineer (AWS | Python | Data Science Collaboration) Location: Fully Remote – Canada Type: Full-time | Contract initial 7 months with scope to extend or go perm About the Opportunity Our client, a leading research and innovation organization, is seeking an experienced Senior DevOps Engineer to join their cutting‑edge Labs team . This role offers the chance to work closely with Data Science and Machine Learning teams, supporting the development of scalable, automated AWS cloud solutions that drive real innovation. This is a fully remote position within Canada , ideal for a DevOps professional who thrives in collaborative, fast‑paced, and technically complex environments. The Role As a Senior DevOps Engineer, you’ll play a key role in designing, deploying, and maintaining AWS infrastructure that powers advanced data and ML projects. You’ll work alongside talented engineers and researchers to create efficient, reproducible, and secure environments. You will: Build and manage AWS-based cloud solutions to support R&D initiatives. Collaborate with Data Science and ML teams to automate workflows and enhance delivery pipelines. Develop and maintain CI/CD and IaC frameworks (GitHub Actions, CodeBuild, CloudFormation, CDK). Drive continuous improvement and innovation in cloud operations and automation practices. Mentor and support team members, fostering best practices in DevOps and cloud architecture. About You You’re an experienced AWS DevOps engineer who enjoys working across disciplines to make complex systems run smoothly. You’re comfortable working independently and communicating effectively with both technical and non‑technical stakeholders. Required Skills & Experience 5+ years of hands‑on experience with AWS , including ECR, ECS, S3, RDS, Lambda, VPC, IAM, SageMaker, Bedrock, and EC2. Strong scripting ability in Python and Bash . Proficiency with CI/CD tools (GitHub Actions, AWS CodeBuild) and IaC (CloudFormation, CDK). Solid understanding of systems design and DevOps best practices. Excellent communication skills and experience collaborating with cross‑functional teams. Preferred Skills AWS Certifications (Solutions Architect, DevOps Engineer). Familiarity with machine learning workflows and MLOps concepts. Experience with Kubernetes or similar container orchestration tools. Knowledge of monitoring tools (Datadog, AWS CloudWatch). Background in cloud optimization and cost management. Experience using AI-assisted development tools such as GitHub Copilot. Why Apply? Work fully remotely anywhere in Canada . Join an innovative, research‑driven organization at the forefront of Data Science and AI. Collaborate with talented engineers and researchers on impactful projects. #J-18808-Ljbffr
