About Constellation:
Constellation is a cutting-edge AI solution that empowers highly regulated and complex industries with the insights and content they need to fuel their business. Specializing in industries such as healthcare, automotive, insurance, and finance, our powerful data/AI insights tools inform the creation of compliant content at scale. We enable our customers to harness their data and streamline the creation of localized, personalized content. A global, NYC-based company, Constellation has been revolutionizing marketing technology and data intelligence in order to drive exponential growth since its founding in 2016.
Constellation was named the 65th Fastest-Growing Private Company in America, the 10th Fastest-Growing Women-Owned Private Company, and the 7th Fastest-Growing Marketing & Advertising Company by Inc 500. In 2022, our platform won the Digiday Technology Award for Best Marketing Automation Platform.
About the Role:
As a Senior Machine Learning Engineer, you will harness your extensive experience in machine learning and data science to drive innovation and performance at Constellation. Your role involves exploring complex datasets, developing sophisticated ML models, and making critical architectural decisions. You will play a pivotal role in mentoring team members, guiding project directions, and enhancing our platform's functionality and quality.
Role Responsibilities:
- Collaborate with product teams and data specialists to architect and build advanced generative AI systems.
- Lead the setup and management of infrastructure for diverse OSS AI models.
- Design, implement, and maintain robust ETL processes.
- Innovate and recommend solutions to enhance our technology portfolio.
- Manage project priorities, deadlines, and deliverables efficiently.
- Maintain and manage code within a Git repository.
- Mentor and guide the Data Team, promoting professional growth and technical excellence.
Job Requirements:
- 7+ years of professional experience in development or data science/ML roles, utilizing frameworks like TensorFlow and PyTorch.
- Proficient in ML platforms such as Dataiku, Sagemaker, MLFlow.
- Broad knowledge of various NLP techniques including but not limited to Embeddings, Encoders, NER, Topic Modeling, etc
- Expertise in Python and SQL, with the ability to handle large datasets and complex data models.
- Experience with AWS services including Lambda, EC2, Batch, and SageMaker.
- Demonstrated ability in deep learning, particularly in fine tuning LLMs and working with RAG.
- Familiarity with graph databases like Neo4j and understanding of network effects.
- Excellent technical documentation and communication skills.
- Experience or a strong interest in compliance and regulatory frameworks within AI applications is highly desirable.
Other Job Information:
This job description is not all inclusive. Constellation reserves the right to amend this job description at any time.
Benefits at Constellation:
- Comprehensive Healthcare, Dental, and Vision coverage
- Flexible PTO
- Hybrid work environment
- Casual in office dress code
- Competitive 401k plan with company match
- Commuter and Parking Benefits
- Paid Family Leave
- UberEats stipend, free snacks and beverages
- Wellness programs and other employee perks
Diversity & Inclusion:
Constellation is an Equal Opportunity Employer, committed to providing a diverse and inclusive environment. Here at Constellation we don't discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally-recognized protected basis under federal, state, or local law.
If you need an accommodation during any part of the interview process, due to a disability, please let your dedicated Talent Partner know.
Compensation Package:
The total compensation package is made up of base compensation, equity, and benefits.
New York Pay Range: $140,000 - $190,000