Machine Learning Engineer
3 weeks ago
Our 2200+ global team members embody intelligence and adaptability, engaging actively from top executives to part-time employees. With offices across Utah, Texas, India, and the Netherlands, Entrata blends startup innovation with established stability, evident in our transparent communication values and executive town halls. Our product isn't just desirable; it's industry essential. At Entrata, we passionately refine living experiences, uphold collective excellence, embrace boldness and resilience, and prioritize diverse perspectives, endeavoring to craft a better world to live in.
Are you passionate about advancing the frontier of artificial intelligence and machine learning? Entrata is seeking a skilled Machine Learning Engineer to be a pivotal part of our dynamic team. As a ML Engineer at Entrata, you'll play a crucial role in designing, building, and optimizing our AI/ML delivery platform. You'll be at the forefront of shaping the future of our products, collaborating with cross-functional teams and driving the integration of cutting-edge technologies.
Rresponsibilites:
- Build and continuously optimize our AI/ML delivery platform, blending off-the-shelf and custom tooling to support the full model lifecycle for Entrata products.
- Contribute to MLOps-focused projects to develop, test, deploy, and maintain ML models efficiently.
- Collaborate with product managers, engineers, and designers to ensure ML initiatives are in sync with product goals.
- Identify and capitalize on opportunities to apply data science and ML within Entrata's strategic framework.
- Champion best practices in ML development and foster strong cross-functional partnerships.
- Build tools to monitor data pipeline performance, data quality and models in production.
- Establish best practices with coding standards, workflows, tools, and product automation.
- Review and maintain existing tool-set and codebase (pipelines, models, algorithms); continue to improve existing tools and build new ones.
- Scale the operations of the data science and engineering teams by building automation patterns and libraries.
- Guide the direction of ML tooling, setting technical standards, and advocating for best practices.
Minimum Qualifications:
- Proven experience in designing and building large-scale distributed systems using AWS technologies, including EC2 instances, Step Functions, and Lambda for serverless computing.
- Hands-on experience implementing Continuous Integration and Continuous Deployment (CI/CD) best practices using tools such as Github Actions, Jenkins, or CircleCI.
- Demonstrated ability to manage machine learning projects from conception to implementation, including effective stakeholder communication.
- Strong commitment to knowledge sharing, best practice documentation, and continual learning in the fields of machine learning and MLOps.
- Skilled in creating scalable and intuitive interfaces by integrating AWS services, particularly using Amazon API Gateway for RESTful APIs and leveraging Amazon S3 for robust and scalable storage solutions.
- Proficiency in the full lifecycle of machine learning and software development in production environments, covering data preparation, model training, deployment, monitoring, and maintenance.
- Demonstrated skill in authoring well-tested, scalable, and well-documented code, with a particular focus on peer reviews and continuous integration/continuous deployment (CI/CD).
- Ability to take ownership in a collaborative and open environment, fostering teamwork and shared responsibility.
- Minimum qualifications include a BS/BA degree in a quantitative field such as computer science, electrical engineering, applied mathematics, statistics, actuarial science, economics, or related quantitatively based field of study.
- 3+ years of practical experience with tools like Amazon SageMaker and Terraform, as well as 3+ years of experience in quantitative analysis, data science, SQL or similar data querying languages, Python for data science, and applied statistical techniques, including ML model development.
Preferred Qualifications:
- Advanced degree in computer science, electrical engineering, applied mathematics, statistics, actuarial science, economics or related quantitatively based field of study.
- Experience with AI/ML platforms like OpenAI, Cohere, Hugging Face, and open-source projects like Langchain and LlamaIndex.
- Proven experience in a product-focused role within a SaaS technology company.
#LI-Remote
Benefits:
Flexible and transparent culture with remote and hybrid work options, generous vacation time, and frequent company recharge days for work-life balance.
Comprehensive medical, dental, and vision coverage, including fertility benefits, available for eligible employees and their families.
HSA/FSA options and employer-paid disability benefits provided for eligible employees.
Access to 401(k) or similar retirement plans with employer matching for eligible employees, ensuring long-term financial security.
Wellness initiatives promoting physical and mental well-being, access to an onsite gym at HQ, mental health resources, wellness challenges, and employee assistance programs.
Family-centric leave policies supporting new parents during significant life events.
Entrata Cares programs offering opportunities for volunteerism, charity events, and giving back to our community.
Exclusive Previ cell phone plan and discounts on services or local business partnerships for additional employee benefits.
Bi-annual swag drops for employees
But members of the Entrata team aren't just intelligent and ambitious, they're the living embodiment of another core Value: "Teamwork and Collaboration." Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.
It's a great place to work Will you join us?
Benefits:
Flexible and transparent culture with remote and hybrid work options, generous vacation time, and frequent company recharge days for work-life balance.
Comprehensive medical, dental, and vision coverage, including fertility benefits, available for eligible employees and their families.
HSA/FSA options and employer-paid disability benefits provided for eligible employees.
Access to 401(k) or similar retirement plans with employer matching for eligible employees, ensuring long-term financial security.
Wellness initiatives promoting physical and mental well-being, access to an onsite gym at HQ, mental health resources, wellness challenges, and employee assistance programs.
Family-centric leave policies supporting new parents during significant life events.
Entrata Cares programs offering opportunities for volunteerism, charity events, and giving back to our community.
Exclusive Previ cell phone plan and discounts on services or local business partnerships for additional employee benefits.
Bi-annual swag drops for employees
Currently, Entrata hires in Arizona, Idaho, Nevada, Utah, Wyoming, Texas, North Carolina, Florida, Georgia, South Carolina, Ohio, Pennsylvania, Illinois, and Tennessee for Exempt roles and Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, and Florida for Non-Exempt roles. If you choose to apply and do not live in one of these states, your application may be reviewed on a case-by-case basis and salary ranges will be provided if required by state law
But members of the Entrata team aren't just intelligent and ambitious, they're the living embodiment of another core Value: "Excellent Alone, Better Together." Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.
It's a great place to work Will you join us?
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