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Open nowFirst seen 5 days ago

Sr. Machine Learning Engineer - New York, Amazon

VORKIS knows what employer wants92 open roles

Pay
$151,133 – $211,233 a year
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Your applicationOpen nowSr. Machine Learning Engineer - New York, AmazonVORKIS knows what employer wants

  1. YouYes, apply to this one.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

Salary: $151,133 - $211,233 per year

Location: Memphis, TN, 37501, US

Employment option: In-person, precise location

Job type: Consultancy, Full time

Job Summary:

We are a dynamic and innovative company seeking a highly skilled Senior Machine Learning Engineer to join our team. We pride ourselves on our collaborative culture, where creativity and cutting-edge technology intersect.

The ideal candidate will design and establish standardized procedures for building, deploying, and overseeing machine learning systems rapidly and reliably. You will also provide leadership in defining and implementing tools and strategies that align with internal and external stakeholders.

Join and help us improve data-driven innovation process and increase customer loyalty.

Job Description

Additional Requirements

Qualification:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • C1+ English level

Experience:

  • Experience with cloud platforms, like AWS, and containerization technologies, such as Kubernetes.
  • 5+ years of professional experience in machine learning or a related field, demonstrating a track record of designing, developing, and deploying machine learning models.
  • Experience with big data technologies such as Spark.
  • Experience mentoring and guiding junior engineers, fostering a collaborative and supportive team environment.
  • Experience in creating data models that accurately represent complex business scenarios and support decision-making.
  • Experience integrating ML models into complicated data-driven systems in a production environment.

Requirements:

  • High proficiency in programming languages commonly used in machine learning, such as Python, Java, or R.
  • Deep understanding of machine learning algorithms and principles, and the ability to apply these techniques to develop innovative solutions.
  • Advanced knowledge of statistics, particularly as it relates to machine learning and data analysis.
  • In-depth knowledge of machine learning data structures and modeling, software architecture, libraries and frameworks to create AI that accomplishes outlined goals.
  • Strong problem-solving abilities, with the capacity to tackle complex technical challenges.
  • Advanced analytical skills to interpret test results and performance metrics.
  • Effective oral and written communication skills to collaborate with others and write detailed, easy-to-read reports.

Responsibilities

  1. Design, develop, and deploy machine learning models that can learn from and make decisions or predictions based on data.
  2. Interpret and analyze complex data to identify trends, correlations, and patterns that can be used to improve machine learning models.
  3. Create algorithms that can learn and make decisions, driving the development of innovative technologies and solutions.
  4. Lead technical projects and initiatives, mentor junior engineers, and contribute to the strategic direction of the organization's machine learning efforts.
  5. Troubleshoot and address problems with deployed AI to improve user experience.
  6. Collaborate with cross-functional teams, including data scientists, data analysts, and other stakeholders to understand their data needs and to implement machine learning solutions.
  7. Analyze data gathered during tests to identify strengths and weaknesses of AI.
  8. Run tests to assess AI performance.
  9. Create AI algorithm prototypes based on project specifications.
  10. Stay abreast of the latest developments in machine learning and artificial intelligence, and implement new methodologies as appropriate.

Benefits - Profit sharing - Family leave - Food provided - Matching gift program - Credit union membership

About Company

Company Overview Founded in Memphis in 1957, Orion Federal Credit Union has grown to become one of the largest credit unions in the Mid-South with more than 75,000 members and $900 million in assets. Orion recently expanded to Little Rock, Arkansas, and offers a full spectrum of banking options ranging from savings and checking accounts to home, auto, commercial and personal loans.

Orion isn't just a not-for-profit financial institution. We're a community partner. We've spent 60 years sharing our profits with our members and the community. We believe that communities work best when they work together, and we aim to be the leading source of financial independence in the communities that we serve.

Company Culture

At our company, we foster a culture of innovation, collaboration, and continuous learning. We believe that a supportive and inclusive environment is the key to unlocking the full potential of our team. Our values are rooted in mutual respect, transparency, and a shared commitment to excellence. We encourage open communication and welcome diverse perspectives, as they drive our collective growth and success. Whether working remotely or in the office, we strive to create a positive work-life balance and offer opportunities for personal and professional development. Our culture is built on trust, where everyone feels valued and empowered to contribute their best work.

Application Process

The Application Process at our company is designed to be straightforward and transparent, ensuring that candidates know what to expect at each stage. After submitting your application, you can expect an initial review by our hiring team, followed by a potential phone or video interview. Depending on the role, there may be additional assessments or a final round of interviews. We aim to keep you informed throughout the process, with clear timelines and communication. We value your time and effort, and our goal is to provide a smooth and positive experience for all applicants.

Equal Opportunity Statement

We are committed to creating an inclusive and equitable workplace where all individuals are treated with respect and dignity. We do not discriminate based on race, gender, age, religion, disability, or any other protected characteristic under the law. In compliance with equal employment opportunity laws, all employment decisions are made solely based on merit, qualifications, and the specific requirements of the job. We also ensure that reasonable accommodations are provided for applicants and employees with disabilities, enabling them to participate fully in our application process and succeed in their roles.

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