Applied Research Scientist Toronto, Ontario or Palo Alto,California

Evolver Transformation, Inc.
Toronto, CA; US
On-site

Job Description

We are an innovative AI startup focused on

transforming professional services through cutting‑edge Generative

AI and deep domain expertise. Our agent‑driven solutions automate

complex workflows, engaging humans only when needed to maximize

efficiency and accuracy. Join us at the forefront of AI innovation,

where your expertise will directly shape the future of professional

services.

About the Role We are looking for an

experienced researcher with a passion for Generative AI and

hands‑on expertise in cloud development. As an Applied Research

Scientist, you will lead the design, development, and deployment of

scalable GenAI applications that redefine how professional services

are delivered. You will work in small teams to own delivery of

high‑stakes projects with clients, much like a hands‑on AI startup

CTO. A day’s work may include building LLM workflows on a large

scale, interacting with customers to understand their needs and set

their AI strategy, but the most impact will be driven by

implementing solutions into the real world of our partner's

organizations. Your work will contribute to extending our existing

footprint and strategy into new markets and problem spaces opened

by Gen AI.

Proven track record of achieving

significant results demonstrated in grants, fellowships, patents

  • and publications in top‑tier AI conferences (AAAI, ICLR, NeurIPS);

NLP venues (ACL, EMNLP); or computer vision venues (CVPR,

ICCV).

Responsibilities

Innovation :

Stay ahead of emerging trends in AI and GenAI to continuously

elevate our technical capabilities.

Publish :

We encourage collaborations with universities, and

inter‑disciplinary research to ensure our work is open‑access, and

for our research to remain at the forefront of

innovation.

Mentorship : Guide and support

junior researchers and engineers to foster technical growth within

the team.

GenAI Development : Support

engineering teams for building a platform for enterprise GenAI

solutions leveraging large language models (LLMs) and

state‑of‑the‑art frameworks.

Cloud

Development : Design and implement robust, cloud‑native solutions,

preferably on Azure.

Model Optimization :

Fine‑tune LLMs, enhance data retrieval from structured / unstructured

sources, and optimize prompt engineering and agent

plans.

Collaboration : Work closely with

cross‑functional teams, including domain experts and product

managers, to deliver solutions aligned with business

needs.

Qualifications

Education

Ph.D. in Computer Science,

Engineering, Neuroscience, Robotics, or a related

field.

Experience

years of professional experience in Python development, including

deploying machine learning or Generative AI

applications.

5+ years research experience

related to next‑generation technologies (multi‑modal systems,

neuro‑symbolic AI, agents, reinforcement learning, domain

adaptation, and alignment).

2+ years of

hands‑on experience building and deploying AI / ML solutions in

Azure.

Technical

Skills

Advanced proficiency in Python and

libraries such as PyTorch, Tensorflow, JAX or

similar.

Experience with Cloud development,

preferably Azure (e.g., Azure App Service, Azure Functions, Azure

Database Services, Azure AI services, and Azure

Search).

Experience with LLMs from OpenAI,

Anthropic, Google, or Meta and their application in chatbots, RAG

systems, and agents.

Familiarity with GenAI

frameworks like LangChain, DSPy, or equivalent

tools.

Soft

Skills

Excellent communication and

collaboration skills in team‑driven

environments.

Analytical mindset with a strong

focus on problem‑solving.

Comfortable working

in a fast‑paced, dynamic startup

culture.

Eagerness to learn and contribute to

cutting‑edge technologies.

Benefits and

Compensation

Competitive Compensation :

Tailored to your experience and skill

set.

Flexible Work Arrangements : Hybrid

working model for work‑life balance.

Career

Growth : Opportunities for professional development and leadership

roles.

Innovative Culture : Work on

transformative technologies and make an impact in the AI

space.

As set forth in Evolver’s Equal

Employment Opportunity policy, we do not discriminate on the basis

of any protected group status under any applicable

law.

Voluntary Self‑Identification of

Disability Form CC‑305 Page 1 of 1 OMB Control Number 1250‑0005

Expires 04 / 30 / 2026

Why are you being asked to

complete this form? We are a federal contractor or subcontractor.

The law requires us to provide equal employment opportunity to

qualified people with disabilities. We have a goal of having at

least 7% of our workers as people with disabilities. The law says

we must measure our progress towards this goal. To do this, we must

ask applicants and employees if they have a disability or have ever

had one. People can become disabled, so we need to ask this

question at least every five years.

Completing

this form is voluntary, and we hope that you will cho

Skills & Requirements

Technical Skills

PythonPytorchTensorflowJaxAzure app serviceAzure functionsAzure database servicesAzure ai servicesAzure searchLlmsLangchainDspy

Level

senior

Posted

4/29/2026

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