Contract Google Machine Learning Engineer Jobs in Ridgewood, NJ

$140000 - $180000 per year | New York, NY | On-site | Permanent

We are a marketing tech startup based in NYC, hiring a Machine Learning Engineer!

• Right hand to CTO
• Remote schedule-with a preference of living in NYC/Eastern time
• Huge opportunity for growth
• Base salary, bonus, and more
• Full benefits
• Office in NYC-flexible schedule

Job Details:

Our organization is seeking a dynamic, innovative, and experienced Machine Learning Engineer to join our tech startup. The chosen candidate will be a critical player in developing and implementing advanced algorithms, models, and methods that will enable our team to make data-driven decisions and drive our predictive intelligence capabilities. This role requires a deep understanding of machine learning techniques, an analytical mindset, and the ability to turn complex data into predictive insights for our company.

• 1. Develop, test, and implement predictive models using machine learning algorithms such as Bayesian, XGBoost, and Prophet.
• 2. Utilize tools such as Google Meridian, Agentic, and FastAPI for data processing and model implementation.
• 3. Conduct geo-experiments, holdouts, and backtesting to validate the performance and reliability of predictive models and machine learning solutions.
• 4. Work with large and complex data sets, solving difficult, non-routine analysis problems by applying advanced analytical methods.
• 5. Collaborate with cross-functional teams to understand business needs and identify opportunities for leveraging company data to drive business solutions.
• 6. Design and build data pipelines using SQL, Cloud Run, and Cloud SQL.
• 7. Build and maintain a robust data architecture that supports our machine learning efforts.
• 8. Keep abreast of the latest developments in the field and introduce new technologies and methodologies to the team.

• 1. Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Math, or related field.
• 2. Minimum of 3 years of experience in a similar role.
• 3. Proven experience in using predictive modeling, data processing, and data analysis techniques.
• 4. Proficiency in programming languages such as SQL and Python.
• 5. Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• 6. Strong knowledge in Google Meridian, MMM, Agentic, XGBoost, Prophet, FastAPI, Postgres, geo-experiments, holdouts, backtesting, SQL, Cloud run, and Cloud SQL.
• 7. Excellent understanding of machine learning algorithms, processes, tools and platforms.
• 8. Strong problem-solving skills with an emphasis on product development.
• 9. Excellent written and verbal communication skills.
• 10. Strong project management and organizational skills.
• 11. Ability to work in a fast-paced environment with minimal supervision.
• 12. Passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

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