Machine Learning Engineer

Netrolynx AI; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Parental leave

Job summary

Babylist is seeking a Staff Machine Learning Engineer to own the personalization domain and drive ML initiatives that power feeds, recommendations, and search.

You will design, deploy, and optimize models at scale, collaborating with product, design, and data teams to deliver measurable user engagement improvements while shaping the technical roadmap.

Qualifications

• Extensive experience deploying production ML systems, esp. personalization or recommender domains.
• Strong Python and ML ecosystem skills (pandas, scikit-learn, XGBoost, PyTorch).
• Ability to build representations from raw data beyond off-the-shelf embeddings.
• Experience with ML lifecycle: orchestration, deployment, monitoring, retraining.

Responsibilities

• Own personalization domain powering homepage feed, recommendations, and search personalization.
• Translate business problems into ML objectives and measurable impact.
• Develop and maintain custom embeddings from domain data.
• Make scalable architecture decisions with cross-team collaboration.
• Lead full ML lifecycle from experimentation to production.

Skills

Production ML systems

Python

ML lifecycle

Large-scale data

Communication

Team leadership

Experimentation

Tools

Python ecosystem (pandas, scikit-learn)

XGBoost

PyTorch

MySQL

Snowflake

AWS SageMaker

Job description

About The Company

Babylist is a pioneering company dedicated to transforming the parenting journey by providing innovative solutions that address the diverse needs of families. Founded on the principle of solving real problems for parents and caregivers, Babylist has grown into a trusted platform that empowers millions of families worldwide. With a focus on personalization, community, and comprehensive support, the company continuously pushes the boundaries of what is possible in the parenting space. Babylist's commitment to delivering impactful products is reflected in its impressive growth, profitability, and a passionate team of around 65 engineers working towards making parenthood easier, more connected, and more joyful.

About The Role

We are seeking a highly skilled and experienced Staff Machine Learning Engineer to join Babylist’s dynamic team. In this role, you will take ownership of the personalization domain, shaping how millions of families experience our platform daily. Your primary responsibility will be to design, develop, and deploy advanced machine learning models that enhance user engagement through personalized feeds, recommendations, and search functionalities. As a key driver of our AI initiatives, you will influence the technical and product roadmap, ensuring that our personalization systems are effective, scalable, and aligned with our mission to serve families better. You will work closely with cross-functional teams, including product, design, and data, to translate ambiguous business problems into impactful ML solutions, from conception through to production and ongoing optimization.

Qualifications

• Extensive experience in deploying production machine learning systems, particularly in personalization, recommender systems, or related areas.
• Deep expertise in Python and the ML ecosystem, including pandas, scikit-learn, XGBoost, and PyTorch.
• Proficiency in building custom representations from raw data, going beyond off-the-shelf embeddings.
• Strong understanding of ML lifecycle management, including orchestration, deployment, monitoring, and retraining strategies.
• Experience with large-scale data processing and storage solutions such as MySQL, Snowflake, and AWS SageMaker.
• Ability to lead complex projects from problem definition to implementation, with a focus on measurable impact.
• Excellent communication skills and the ability to collaborate effectively with multidisciplinary teams.
• Curiosity and a proactive mindset to identify problems early and push innovative solutions forward.

Responsibilities

• Own the personalization domain by designing and implementing models that power the homepage feed, recommendations, and search personalization.
• Translate fuzzy business problems into clear ML objectives, developing models that improve customer experience and engagement.
• Build and maintain custom embeddings derived from raw, domain-specific data, ensuring they serve multiple surfaces effectively.
• Make architecture and modeling decisions that span teams and have long-term implications, ensuring scalability and maintainability.
• Manage the full ML lifecycle, including orchestration, deployment, monitoring, and retraining to keep models honest and effective in production.
• Define standards for AI-driven personalization, including evaluation metrics and validation processes to prevent confident errors.
• Partner closely with product, design, and data teams to prioritize features and ensure alignment with business goals.
• Mentor and coach senior engineers, guiding them through complex technical challenges and ambiguous situations.
• Lead efforts to build foundational embeddings that enable uniform personalization across surfaces such as feeds, recommendations, and search.
• Work on resolving cross-domain user identity challenges to improve recommendation consistency and relevance.
• Experiment with and validate ranking models and recommendation strategies through live A/B testing and other experiments.

Benefits

• Company-paid comprehensive medical, dental, and vision insurance coverage.
• A 401(k) plan with a competitive company match to support your financial future.
• Generous paid parental leave for all parents, along with a structured return-to-work program.
• Winter Wonder Week, a paid company-wide week off at the end of each year to rest and recharge.
• Remote-work stipend to support a productive and comfortable home office environment.
• Access to mental health and wellness resources to promote overall well-being.

Equal Opportunity

Babylist is committed to fostering an inclusive environment where all employees and applicants are treated with respect and fairness. We celebrate diversity and are dedicated to equal employment opportunity regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe that diverse teams drive innovation and better serve our community of families around the world. All qualified applicants will receive consideration for employment without regard to any protected characteristic.