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Machine Learning Engineer-Predictive Intelligence

Jobot

  • New York, NY
  • Today
  • $140,000–$180,000 Per Year

Highlights

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. 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.

Numbers & Facts

LocationNew York, NY
IndustryStaffing/Employment Agencies
Salary$140,000–$180,000 Per Year
Company Size100 to 499 employees
Year Founded2018
Websitehttp://www.jobot.com

Description

Remote Machine Learning Engineer-Predictive Intelligence Opportunity!

This Jobot Job is hosted by: Audrey Block
Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume.
Salary: $140,000 - $180,000 per year

A bit about us:

We are a marketing tech startup based in NYC, hiring a Machine Learning Engineer! Please apply if you fit most of the criteria below. Thanks!

Why join us?

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

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.

Responsibilities:

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.

Qualifications:

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.

Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.

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About Company

Jobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values.

Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection.  As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA).

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