Machine Learning Engineer

Vaco
$145,057.00 - $296,054.00 / yr
United States, New York, Long Island City
Feb 21, 2025
JOB DESCRIPTION: About the Role: We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary focus on Ad Score and Ad Account Health. You will play a crucial part in delivering actionable insights and solutions to our clients, and your work will be integral to our mission. Responsibilities include but are not limited to; ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health. Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization. Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training. Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement. Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs. Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products. Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning, and explore innovative approaches to problem-solving. Requirements Master's or Ph.D. in a related field with a strong academic background. Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models. Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning. Proficiency in data manipulation, feature engineering, and model evaluation. Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn. Excellent communication skills and the ability to collaborate effectively within cross-functional teams. A passion for continuous learning and staying updated with the latest trends and technologies in data science. Strong problem-solving abilities and the capacity to translate complex data into actionable insights. Tech Stack Google Analytics Hotjar Rollbar Azure Portal Terraform Cloud Our interview process includes, but is not limited to the following: Excel and Typing Test Vaco values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. EEO Notice Vaco is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco LLC and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco LLC and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR@vaco.com . Vaco also wants all applicants to know their rights that workplace discrimination is illegal. By submitting to this position, you agree that you will be giving Vaco the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. Privacy Notice Vaco LLC and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco's HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Pay Transparency Notice Determining compensation for this role (and others) at Vaco depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.