Who we are
Join Embark on our mission to bring joy to dog lovers by offering the world’s best products and services to strengthen their bonds with the dogs in their lives. Our canine DNA test — named the best by The New York Times — enables us to make scientific advances in personalized pet care.
Designed by world leaders in dog genetics (in partnership with Cornell University), the Embark Dog DNA Test provides information on genetic health risks and breed make-up, allowing dog owners, breeders, and veterinarians to drive personalized care plans based on a dog’s unique genetic profile.
Join our pack! At Embark, our People First culture is centered around building an amazing team and giving everyone an opportunity to have a voice and make an impact. We are looking for highly motivated and mission-driven employees who will join us as Embark leads the cutting edge of creativity and innovation in the fast-growing consumer genetics space.
About the role:
Embark is building the next generation of AI and ML-powered products. We are looking for a talented and motivated Mid-Level AI/ML Engineer to join our dynamic team. You will play a key role in developing and deploying innovative AI/ML solutions, leveraging established as well as cutting edge technologies.

PREFERRED QUALIFICATIONS

• Experience building & deploying AI/ML models to production environments.
• Knowledge of data systems and data pipelines.

Experience we’re looking for:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in AI/ML development.
• Proficiency in Python and ML libraries and tools (e.g., TensorFlow, PyTorch, scikit-learn, SageMaker, JupyterHub).
• Experience with boto3, llama-index or similar AI libraries and tools.
• Familiarity with cloud platforms, particularly AWS.
• Understanding of GraphQL or REST and experience with API integrations.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities esp. Mentoring.
• MLOps and AIOps Practices such as eval pipelines, quality control and observability methods.
• Expertise in Data Science & data modelling for ML model development or to improve the performance of AI-powered applications

• Develop, test, deploy & monitor AI & ML-powered applications.
• Integrate AI & ML systems with our existing GraphQL APIs and React-based UIs.
• Extend our data layer to support AI use cases using tools such as vector stores, graph DBs or search tools.
• Create robust search capabilities to handle AI use cases (RAG, semantic search, hybrid search).
• Deploy and manage our AI and ML infrastructure (we are an AWS shop).
• Collaborate with cross-functional teams to define the scope of ML/AI-powered capabilities and phases of development.
• Write clean, maintainable, and efficient code.
• Participate in code reviews and contribute to best practices.
• Troubleshoot and resolve issues related to AI/ML applications and integrations.
• Stay up-to-date with the latest advancements in AI, ML, and related technologies.

Experience we’re looking for:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in AI/ML development.
• Proficiency in Python and ML libraries and tools (e.g., TensorFlow, PyTorch, scikit-learn, SageMaker, JupyterHub).
• Experience with boto3, llama-index or similar AI libraries and tools.
• Familiarity with cloud platforms, particularly AWS.
• Understanding of GraphQL or REST and experience with API integrations.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities esp. Mentoring.
• MLOps and AIOps Practices such as eval pipelines, quality control and observability methods.
• Expertise in Data Science & data modelling for ML model development or to improve the performance of AI-powered applications.