Senior Machine Learning Engineer
entrata
Job Summary
Entrata is seeking a Senior Machine Learning Engineer to drive the development and optimization of their AI/ML platform. This role involves collaborating with cross-functional teams to design, build, and deploy innovative AI-powered solutions for enterprise-scale products. Responsibilities include researching and developing AI-driven applications and algorithms, building autonomous or semi-autonomous intelligent AI systems, collecting and analyzing data, integrating AI components, monitoring and optimizing ML models, staying current with AI advancements, and mentoring junior team members. The ideal candidate will have at least 5-10 years of software development experience and a minimum of 3 years in designing, building, and deploying AI/ML solutions in production.
Must Have
- 5-10 years software development experience
- 3+ years designing/building AI/ML solutions
- Proficiency in Python and ML frameworks
- Understanding of data science and statistics
- Experience with cloud platforms (GCP/AWS)
- Excellent communication and teamwork skills
- Bachelor's degree in Computer Science or related field
Good to Have
- Master's or Ph.D. in Computer Science/Data Science
- Experience leading complex AI/ML projects
- Experience in startup/high-growth tech
- Familiarity with MLOps and ML pipelines
- Experience with distributed teams
- NLP tasks and LLM deployment experience
Perks & Benefits
- Flexible and transparent culture
- Remote and hybrid work options
- Generous vacation time
- Frequent company recharge days
- Comprehensive medical, dental, and vision coverage
- Fertility benefits
- HSA/FSA options
- Employer-paid disability benefits
- 401(k) with employer matching
- Wellness initiatives
- Onsite gym at HQ
- Mental health resources
- Wellness challenges
- Employee assistance programs
- Family-centric leave policies
- Volunteerism and charity event opportunities
- Exclusive Previ cell phone plan
- Discounts on services/local business partnerships
- Bi-annual swag drops
Job Description
Responsibilities
- Research, design, and develop AI-driven applications, algorithms, and models that tackle complex business challenges and drive operational improvements.
- Build and deploy intelligent AI systems and agents that can operate autonomously or semi-autonomously, plan, learn, adapt, and ensure alignment with safety, ethics, and organizational goals.
- Collect, preprocess, and analyze data to extract valuable insights and inform AI solution development.
- Collaborate with engineers, product teams, and other stakeholders to seamlessly integrate AI components into existing systems or create new AI-powered applications.
- Monitor, tune, and optimize machine learning models for efficiency, scalability, robustness, and reliability.
- Stay current with advances in AI and machine learning, and evaluate new tools or methodologies to enhance our products and services.
- Develop and conduct comprehensive testing and validation to ensure AI solutions meet business requirements and quality standards.
- Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to gather requirements and deliver solutions that align with strategic objectives.
- Mentor junior team members and contribute to a culture of learning and technical excellence.
Minimum Qualifications
- 5–10 years of core software development experience.
- Minimum 3 years designing, building, and deploying AI/ML solutions in production environments.
- Bachelor’s degree or higher in Computer Science or a related technical field.
- Advanced proficiency with Python and common ML/AI frameworks (TensorFlow, PyTorch, etc.).
- Deep understanding of data science, statistics, and data analysis best practices.
- Experience in handling NLP tasks and deploying large language models (LLMs) is a significant advantage.
- Hands-on experience with major cloud platforms (GCP or AWS).
- Proven ability to solve complex problems strategically and creatively.
- Excellent communication, teamwork, and leadership skills.
- Self-starter who thrives in a dynamic, fast-paced environment.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, Data Science, or related fields.
- Demonstrated success leading complex AI/ML projects from concept through to deployment.
- Experience in a startup or high-growth technology environment.
- Familiarity with MLOps and production-grade ML pipelines.
- Prior experience collaborating with remote or distributed teams.