Description
The Role:
We are looking for a highly motivated and experienced AI & Operations Research
specialist to join our team. The ideal candidate will have a strong background
in mathematics, statistics, computer science, and emerging unsupervised,
supervised and reinforcement learning-based methods for optimization problems.
The specialist is expected to have the skillsets to formulate and solve
complex discrete and continuous optimization problems, along with
communicating the results effectively to both technical and non-technical
stakeholders.
As part of the team, you will have access to rich business operations data for
developing a mix of AI and optimization-based approaches. You will be
contributing to the complete end-to-end process of developing optimization
systems including understanding business requirements and available data
sources, and contributing to the development, validation, and deployment of
the solutions. We also encourage publishing novel research at
conferences/journals or filing patents.
What You'll Do :
Support other team members and the organization for optimization use case
exploration & for architecting viable and practical solutions to solve
ill-structured discrete and continuous combinatorial optimization
problems.
Formulating the optimization problem as a mathematical model,
implementing/applying optimization techniques, collaborating with the
machine learning specialists in identifying and developing the machine
learning models feeding/supporting the optimization model, contributing to
the evaluation and validation of the developed models/solutions to deliver
products with the best quality and highest performance.
Work in collaboration with the development team and IT to deploy solutions
in a production environment.
Work in a fast-paced agile environment with cross functional teams and
maintain relationship with key technical and business stakeholders.
Effective verbal and written communication of research findings and
development status.
Additional Description
Your Skills & Abilities :
MSc. or PhD in operations research, industrial engineering, computer
science, mathematics, or other relevant technical fields.
5+ years of relevant industry experience with developing optimization
solutions.
Previous experience as a Tech Lead or experience in a similar role.
Strong analytical and problem-solving skills with a deep understanding of
mathematical modeling and deterministic and stochastic optimization
techniques (e.g., mathematical programming, deterministic search methods,
stochastic derivative-free optimization, nature-inspired search algorithms
and machine learning methods) along with an advanced statistics and
probability background.
Experience with unsupervised, supervised and reinforcement learning.
Proficiency in Python along with experience in other programming languages
such as Java, or C++ for algorithm development and implementation with a
strong understanding of OOP.
Experience with optimization libraries (e.g., CPLEX, Gurobi, OR-Tools,
CasADi, Pymoo, PySwarms) for solving large-scale discrete and continuous
multicriteria constrained optimization problems.
Experience in designing end-to-end optimization systems.
Demonstrated knowledge of algorithms and data structures.
What Will Give You A Competitive Edge:
Experience supporting Sales, Marketing and/or Finance functions.
Publications and/or patents.
Experience in relevant machine learning areas such as large language
models (LLMs) as optimizers, amortized optimization and contextual
multi-armed bandits.
Familiarity with data analysis, data manipulation, and machine learning
frameworks to process and interpret large datasets.
Hands-on experience using least one machine learning framework such as
Tensorflow and PyTorch.
Experience with UNIX tools and shell scripting.
Experience with data tools and ecosystems (Hive, Spark, etc.).
Experience using SQL/NoSQL and knowledge in database management.
Experience using Power BI, Tableau, and/or other visualization tools.
Experience in deploying solutions to cloud.
Compensation and Benefits:
GM's Work Appropriately philosophy supports our foundation of inclusion
and provides employees the flexibility to work where they can have the
greatest impact on achieving our goals, dependent on role needs.
GM's comprehensive compensation and benefits plan is carefully designed
and thoroughly benchmarked against the companies that we compete for
talent in the local market .
The goal of the General Motors of Canada total rewards program is to support
the health and well-being of you and your family. Our comprehensive
compensation plan currently includes the following benefits, in addition to
many others:
Paid time off including vacation days, holidays, and supplemental benefits
for pregnancy, parental and adoption leave.
Healthcare, dental and vision benefits including health care spending
account and wellness incentive.
Life insurance plans to cover you and your family.
Company and matching contributions to a Defined Contribution Pension plan
to help you save for retirement.
Global recognition program for peers and leaders to recognize and be
recognized for results and behaviors that reflect our company values.
Tuition Assistance and Employee Assistance Program.
GM Vehicle Purchase Plan for you, your family and friends.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion
and we embrace the responsibility to lead the change that will make our world
better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all
must make a choice every day – individually and collectively – to drive
meaningful change through our words, our deeds and our culture. Our Work
Appropriately philosophy supports our foundation of inclusion and provides
employees the flexibility to work where they can have the greatest impact on
achieving our goals, dependent on role needs. Every day, we want every
employee, no matter their background, ethnicity, preferences, or location, to
feel they belong to one General Motors team.
Total Rewards Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you
can focus on realizing your ambitions. Learn how GM supports a rewarding
career that rewards you personally by visiting Total Rewards resources.
Diversity Information
General Motors is committed to being a workplace that is not only free of
discrimination, but one that genuinely fosters inclusion and belonging. We
strongly believe that workforce diversity creates an environment in which our
employees can thrive and develop better products for our customers. We
understand and embrace the variety through which people gain experiences
whether through professional, personal, educational, or volunteer
opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and
qualifications and apply for any positions that match your skills and
capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified
applicants and employees on an equal basis regardless of an individual's age,
race, color, sex, religion, national origin, disability, sexual orientation,
gender identity/expression or veteran status. Additionally, General Motors is
committed to being an Equal Employment Opportunity (EEO) Employer and offers
opportunities to all job seekers including individuals with disabilities. If
you need a reasonable accommodation to assist with your job search or
application for employment, email us at [email protected] or call
us at 800-865-7580. In your email, please include a description of the
specific accommodation you are requesting as well as the job title and
requisition number of the position for which you are applying.
