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Generative Engine Jobs in Toronto, ON (NOW HIRING)

NKPR

Brand Growth Manager

Toronto, ON · On-site

Execute and continuously optimize SEO and Generative Engine Optimization (GEO) strategies. * Improve brand visibility across traditional search engines and AI-powered search platforms. * Manage and ...

Ratehub

Social Media Strategist

Toronto, ON · Remote

Support the company's Generative Engine Optimization (GEO) strategy by amplifying authoritative content across social media, forums, and online communities. * Partner with SEO, editorial, and ...

Omnicom

Data Scientist (ML Engineer)

Toronto, ON · On-site

... advertising engine. Help define how Perpetua's machine-learning optimization works alongside the emerging generative and agentic layer, deciding where reinforcement learning and classical ...

Okta

Advocacy & Content Strategist

Toronto, ON · Hybrid

As the Advocacy & Content Strategist, you will serve as the program architect and content engine ... Optimize Assets for Generative AI & Search (AEO/GEO): Structure, format, and tag advocate content ...

Spellbook

Junior Account Executive (Remote)

Toronto, ON · On-site +1

In 2022, we launched Spellbook, the first generative AI copilot for lawyers, taking the legal ... engine. JAEs will be allocated high quality leads that are ready to buy and are expected to close ...

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All JobsGenerative Engine JobsGenerative Engine Jobs in Toronto, ON

Senior Generative AI Software Engineer

Toronto, ON • On-site

Apertera
See more jobs at Aperteraexternal

Full-time

Re-posted 17 days ago

Key responsibilities

  • Research, develop, and implement state-of-the-art LLM techniques and GenAI applications for translation use cases.

  • Collaborate with cross-functional teams to design technical roadmaps, develop prototypes, and deliver high-quality generative AI solutions.

  • Stay current with advancements in generative AI and LLM research, and contribute to industry knowledge through conferences and publications.

Job description

About Apertera

Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context.

For more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators.
Apertera is Canadian-owned, ISO 17100 and SOC 2 certified.

Our core values: 

  • Innovation
  • Dedication
  • Fanatical commitment to quality and service
  • Resourcefulness
  • Collaboration
About the Role

We are looking for a Senior Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will be working in an R&D Team which reports to the VP of AI Innovation with the objective to develop and implement state-of-the-art algorithms by fast prototyping. We expect our Senior Generative AI Engineer to stay current with the technological cutting edge and drive the application of LLM and GenAI to translation, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data. You'll play a pivotal role in pushing the boundaries of applying GenAI to translation scenarios and create innovative solutions.

Responsibilities
  • Research and implement state-of-the-art LLM techniques including continued pre-training, supervised fine-tuning, reinforcement learning from human or AI feedback (PPO, DPO, GRPO, etc.), and LLM deployment.
  • Work closely with our expert advisor to strategize, plan, and design technical roadmaps and features of GenAI products.
  • Develop prototypes of GenAI and LLM application to translation use cases.
  • Drive technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia.
  • Stay updated with the latest advancements and research trends in generative AI, attending conferences, workshops, and seminars, and actively contributing to the AI research community through publications and presentations
  • Work closely with DevOps Engineers, software engineers, designers, and product managers to understand project requirements, align on technical solutions, and deliver high-quality generative AI solutions that meet business objectives and user needs.
  • Communicate technical strategies effectively across teams and manage stakeholder expectations. 
Requirements
  • Master in Computer Science, Data Science, Statistics, or Engineering. PhD or equivalent experience is preferred.
  • 3+ years of industry experience developing GenAI and LLM applications.
  • Working knowledge and project-based record of all of the following: context engineering, RAG, SFT. 
  • Working knowledge and project-based record of at least one of the following:  continued pre-training, PPO/DPO/GRPO, Agentic systems (including harness engineering, MCP server, etc.).
  • Proficiency in programming languages such as Python, with experience in software development and version control systems (e.g., Git).
  • Hands-on experience with Huggingface APIs or Amazon Bedrock. Experience with both is preferred. 
  • Expert skills of PyTorch, TensorFlow, Pandas, etc.
  • Experience with cloud platforms like AWS, GCP, or Azure 
  • Excellent problem-solving skills, critical thinking, and the ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills, with the ability to articulate complex technical concepts effectively and work cross-functionally with diverse teams.
  • Self-driven, self-motivated with excellent time management skills
  • Excellent organizational, communication, and interpersonal skills
  • Ability to adapt to shifting priorities without compromising deadlines and momentum.

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