Sr. Machine Learning Engineer

Company Description

About A Place for Mom:

A Place for Mom is the leading online resource connecting families searching for senior care with a team of expert advisors providing insight-driven, personalized solutions. As the nation's largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more. Established in 2000 as a family business, A Place for Mom employees are deeply committed to the company mission to enable caregivers to make the best senior care decisions. A Place for Mom fosters, cultivates, and preserves a culture of diversity, equity, and inclusion.

Our employees live the company values every day:

• Mission Over Me: We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy.
• Do Hard Things: We are energized by solving challenging problems and see it as an opportunity to grow.
• Drive Outcomes as a Team: We each own the outcome but can only achieve it as a team.
• Win The Right Way: We see organizational integrity as the foundation for how we operate.
• Embrace Change: We innovate and constantly evolve.

Job Description

A Place for Mom is looking for a Sr. Machine Learning Engineer to build efficient, data-driven machine learning applications. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to develop and optimize our machine learning models and algorithms.

Key Responsibilities and Deliverables:

• Machine Learning Model Development and Maintenance:
  • Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.
  • Design and develop machine learning and Gen AI systems.
  • Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.
  • Construct optimized data pipelines to feed machine learning models.
  • Run machine learning tests and experiments, and document findings and results.
• Model Maintenance and Monitoring:
  • Implement and monitor model and data quality checks to ensure accuracy and consistency of our models and pipelines in production.
  • Train, retrain, and monitor machine learning systems and models as needed.

• Collaboration and Support:
  • Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to build machine learning applications that align with business objectives and best practices.
  • Provide support on model and data-related issues and queries from other teams including providing clear and actionable reporting for stakeholders.
• Best Practices and Documentation
  • Create and maintain comprehensive documentation for machine learning processes, models and pipelines.
  • Implement and promote best practices for machine learning, including coding standards, maintenance and governance of machine learning models.

Qualifications

• Experience: 5+ years of proven experience as a Machine Learning Engineer, with significant experience working with data from structured and unstructured data sources, ETL processes, and data quality management.
• Technical Skills: Strong proficiency in SQL, Databricks, AWS services, Python, Spark and machine learning frameworks such as XGBoost, Scikit, TensorFlow, Keras or PyTorch.
• Analytical Skills: Excellent analytical and problem-solving skills with a strong ability to derive insights from complex data sets.
• Communication: Effective communication skills with the ability to convey technical information and business impact to non-technical stakeholders.
• Education: Master's degree in Computer Science, Mathematics, or a related field, or equivalent working experience.

Compensation

• Base Salary: $125,000 to $135,000
• Bonus - 10% of annual earnings
• Benefits:
  • 401(k) plus match
  • Dental insurance
  • Health insurance
  • Vision Insurance
  • Paid Time Off

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Additional Information

All your information will be kept confidential according to EEO guidelines.

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