Meta    Machine Learning Engineer    Cheyenne ,  Wyoming     Apply Now    Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click Apply to Job online on this web page.Required Skills:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models.Suggest, collect and synthesize requirements and create effective feature roadmap.Code deliverables in tandem with the engineering team.Adapt standard machine learning methods to best exploit modern parallel environments, including distributed clusters, multicore SMP, and GPU.Telecommuting is permitted from anywhere in the U.S.Minimum Qualifications:Minimum Qualifications:Master's degree (or foreign equivalent) in Computer Science, Data Science, Engineering, Mathematical Finance, or a related field. 24 months of experience in the job offered or in a related occupation. Experience must include 24 months involving the following:Scripting languages, such as Perl, Python, PHP, or shell scriptsCoding in C, C++, C# or JavaDeveloping classifiers and tools leveraging machine learning, data regression, or rules-based modelsTranslating insights into business recommendationsWorking in one or more of the following areas: machine learning, recommendation systems or data miningLeading strategic implementation and planning for risk and growthSuggesting, collecting, and synthesizing requirements and creating effective feature roadmapCoding deliverables in tandem with the engineering team.Public Compensation:$210,255/year to $240,240/year + bonus + equity + benefitsMeta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.#J-18808-Ljbffr<p>by Jobble</p>

General Motors    Machine Learning Engineer    Cheyenne ,  Wyoming     Apply Now      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 minimumThe 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 DescriptionCompensation  : 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 offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.About GMOur 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 UsWe 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 OverviewThe 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 InformationGeneral 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 StatementsGM 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.#J-18808-Ljbffr<p>by Jobble</p>

Machine Learning Engineer Jobs in Cheyenne, WY

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Machine Learning Engineer Jobs in Cheyenne, WY

Machine Learning EngineerApril 28, 2024

Machine Learning EngineerApril 26, 2024

Principal Machine Learning Engineer Joinociai ServicesApril 23, 2024

Machine Learning EngineerApril 22, 2024

Machine Learning EngineerApril 20, 2024

Machine Learning Engineer InternApril 19, 2024

Machine Learning EngineerApril 18, 2024

Machine Learning Engineer InternApril 16, 2024

Senior Machine Learning Engineer Ocigen AiApril 8, 2024

Senior Machine Learning EngineerApril 5, 2024