Shire Jobs

Position Purpose:

The Software Engineer, Data on the ML team is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. ML Engineers are expected to pair daily as they work through user stories and support products as they evolve.

ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering.

ML Engineers should be able to operate independently with minimum guidance from others, although will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve, based on best practices.

Key Responsibilities:

• 60% Delivers and Executes - Assists in developing, testing, deploying, and maintaining software; Follows best practices established by the organization and participates in improvement conversations; Consistently helps the team achieve results, even under tough circumstances

• 20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels

• 20% Plans and Aligns - Builds partnerships and works collaboratively with others to meet shared objectives; Collaborates with other team members in agile processes; Relates openly and comfortably with diverse groups of people

Direct Manager/Direct Reports:

• This position typically reports to Software Engineer Manager or Sr. Manager

• This position has 0 Direct Reports

Travel Requirements:

• No travel required.

Physical Requirements:

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

• Must be eighteen years of age or older.

• Must be legally permitted to work in the United States.

Preferred Qualifications:

• 1 - 3 years of relevant work experience

• Expertise in ML development and ML ops lifecycle

• Experience working with multiple leading ML models

• Experience in a modern scripting language (preferably Python)

• Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc

• Experience in modern web application framework such as Node.js

• Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3

• Experience in writing SQL queries against a relational database

• Experience in version control systems (preferable Git)

• Familiarity with algorithms such as clustering, forecasting, anomaly detection, and neural networks.

• Familiarity with basic statistics and regression algorithms

• Familiarity with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.

• Familiarity with Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML

• Familiarity with a Linux or Unix based environment

• Familiarity with a CI/CD toolchain

• Familiarity with REST and effective web service design

• Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security

Minimum Education:

• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:

• No additional education

Minimum Years of Work Experience:

• 1

Preferred Years of Work Experience:

• No additional years of experience

Minimum Leadership Experience:

• None

Preferred Leadership Experience:

• None

Certifications:

• None

Competencies:

• Global Perspective

• Manages Ambiguity

• Nimble Learning

• Self-Development

• Collaborates

• Cultivates Innovation

• Situational Adaptability

• Communicates Effectively

• Drives Results

• Interpersonal Savvy

The application window is anticipated to be closed on October 22nd, 2024

See more benefits: livetheorangelife.com

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Apply End Date: 10/22/2024

• $70,000.00 - $120,000.00