Remote Senior Machine Learning Operations Engineer

Description:

• Omnidian, a company focused on building a sustainable future, is seeking a Senior Machine Learning Operations Engineer to lead the development and optimization of model deployment infrastructure.
• The role involves collaborating with Product, Software, and Data Science teams to ensure efficient and reliable deployment of machine learning models into production systems.
• Responsibilities include streamlining deployment and monitoring processes, developing CI/CD pipelines, and enforcing model validation and monitoring strategies.
• The position also involves improving data pipelines, managing feature repositories, and enhancing model performance through low-latency feature deployment.
• Ideal for individuals passionate about sustainability and looking to make a significant impact in a growth-stage company.

Requirements:

• Ability to translate business problems into machine learning solutions that drive strategic decisions.
• Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, Statistics, or related field, or equivalent experience.
• Strong software engineering skills with the ability to write production-ready code.
• Proficiency in Python, Java, C++, or other relevant programming languages.
• Experience deploying machine learning models using tools like Docker, Kubernetes, and cloud platforms.
• Expertise in CI/CD pipelines, monitoring tools, and maintaining model deployment systems.
• Solid understanding of the full machine learning lifecycle, particularly deploying and maintaining models in production environments.

Benefits:

• Competitive salary range of $127,000 - $172,000 per year, with a midpoint of $150,000 USD.
• Comprehensive benefits package covering 100% of health insurance monthly premiums for employees and 50% for dependents.
• Performance bonus of up to 15% after 90 days of eligibility.
• Equity stake in the company through stock options.
• Annual learning reimbursement of up to $500 to invest in personal development.
• Commitment to pay parity based on professional experience to avoid gender pay discrepancies.
• Remote work opportunities, vibrant co-working space in Seattle, and local gatherings for employees in specific areas.
• Company-wide slack channels, affinity groups, and a collaborative, mission-driven team culture.
• Opportunities for growth, mentorship, and career development in a fast-growing startup environment.