Machine Learning Engineer
Company: General Motors
Location: Lansing
Posted on: April 18, 2024
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Job Description:
Job Description
This role is based remotely but if you live within a 50-mile radius
of Warren, MI, or Austin, TX, you are expected to report to that
location three times a week, at minimum
The Role:
We are seeking a skilled Machine Learning Engineer with expertise
in Azure, Databricks, and MLflow, as well as strong full-stack
capabilities, including experience with React. If you're passionate
about driving innovation and enjoy working collaboratively within
product teams, this role offers an exciting opportunity to
contribute to impactful projects in a dynamic environment.
As a Machine Learning Engineer supporting POD teams, you will play
a pivotal role in providing technical expertise and guidance to
ensure the successful development and delivery of machine learning
and AI solutions. Your responsibilities will include collaborating
closely with product teams, contributing your expertise in machine
learning technologies, and leveraging your full-stack capabilities
to support the implementation of frontend components using
React.
What You'll Do:
Technical Support: Provide technical expertise and support to POD
teams in the development and implementation of machine learning and
AI solutions, leveraging Azure, Databricks, and MLflow.
Solution Architecture: Collaborate with product teams to design
scalable and efficient solutions, ensuring alignment with
architectural best practices and business requirements.
Model Development Assistance: Assist in the development and
optimization of machine learning algorithms and models, providing
guidance on best practices and methodologies.
Data Pipeline Support: Support the design and implementation of
data pipelines for data ingestion, processing, and feature
engineering, ensuring data quality and integrity.
Model Deployment Assistance: Assist in the deployment of machine
learning models into production environments, implementing
monitoring and logging mechanisms for performance tracking.
Frontend Development Support: Collaborate with frontend developers
to support the implementation of responsive and user-friendly web
interfaces using React, integrating machine learning capabilities
seamlessly into frontend applications.
Collaboration and Communication: Work closely with product teams,
data scientists, software engineers, and business stakeholders to
understand requirements, provide technical guidance, and ensure
successful project delivery.
Documentation and Knowledge Sharing: Document technical solutions,
processes, and best practices, and share knowledge with team
members to facilitate learning and collaboration.
Your Skills & Abilities (Required Qualifications):
Bachelor's degree in Computer Science, Engineering, Mathematics, or
a related field or equivalent experience.
5+ years of experience in machine learning engineering, data
science, or a related field.
Experience with Azure cloud services, particularly Azure Machine
Learning and Azure Databricks.
Familiarity with MLflow for model management and
experimentation.
Strong proficiency in React for frontend development.
Proficiency in Python for machine learning and data analysis.
Knowledge of machine learning algorithms, statistical modeling, and
data structures.
Experience with version control systems (e.g., Git) and
containerization technologies (e.g., Docker) is desirable.
Excellent communication and collaboration skills, with the ability
to work effectively in a team environment.
Strong problem-solving mindset and a proactive attitude towards
learning and self-improvement.
Additional Job Description
Compensation : The compensation information is a good faith
estimate only. It is based on what a successful applicant might be
paid in accordance with applicable state laws. The compensation may
not be representative for positions located outside of New York,
Colorado, California, or Washington.
The salary range for this role is $128,900 - $197,4000. The actual
base salary a successful candidate will be offered within this
range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on
company performance, job level, and individual performance.
Benefits:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.
DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION
SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE
FUTURE
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.
Benefits Overview
The goal of the General Motors total rewards program is to support
the health and well-being of you and your family. Our comprehensive
compensation plan incudes, the following benefits, in addition to
many others:
--- Paid time off including vacation days, holidays, and parental
leave for mothers, fathers and adoptive parents;
--- Healthcare (including a triple tax advantaged health savings
account and wellness incentive), dental, vision and life insurance
plans to cover you and your family;
--- Company and matching contributions to 401K savings 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 student loan refinancing;
--- Discount on GM vehicles for you, your family and friends.
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
GM is an equal opportunity employer and complies with all
applicable federal, state, and local fair employment practices
laws. GM is committed to providing a work environment free from
unlawful discrimination and advancing equal employment
opportunities for all qualified individuals. As part of this
commitment, all practices and decisions relating to terms and
conditions of employment, including, but not limited to,
recruiting, hiring, training, promotion, discipline, compensation,
benefits, and termination of employment are made without regard to
an individual's protected characteristics. For purposes of this
policy, "protected characteristics" include an individual's actual
or perceived race, color, creed, religion, national origin,
ancestry, citizenship status, age, sex or gender (including
pregnancy, childbirth, lactation and related medical conditions),
gender identity or gender expression, sexual orientation, weight,
height, marital status, military service and veteran status,
physical or mental disability, protected medical condition as
defined by applicable state or local law, genetic information, or
any other characteristic protected by applicable federal, state or
local laws and ordinances. If you need a reasonable accommodation
to assist with your job search or application for employment, email
us at Careers.Accommodations@GM.com 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.---
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 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
Careers.Accommodations@GM.com .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.
Keywords: General Motors, East Lansing , Machine Learning Engineer, Engineering , Lansing, Michigan
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