Overview
Skills
Job Details
Job Description
Senior Machine Learning (ML) Engineer
Location: New York, NY (Hybrid) - Must work a few days a week in NY City.
Pay: $210k-$230k p/a + Equity + Bonus + Benefits & More
Skills: ML Engineer, Data Scientist, Pytorch, Sklearn, Python, Pandas, Keras, TensorFlow
About the job:
Our client is dedicated to improving the lives of injured and disabled workers, helping them return to the workforce. This mission results in significant cost savings and increased productivity for both the US and global economies. They are currently undergoing significant growth and are in search of top talent to support their internal scaling and industry transformation efforts. They are supported by premier venture capital firms and have been recognized as a top workplace by Inc.
The Opportunity:
Our client leads in AI Guidance Platforms within their sector, partnering with major companies in the US and extending their reach internationally. They excel in moving projects from pilots to full production and are on a trajectory to become a major industry leader. Their technology has benefited thousands, and they have developed an engineering culture that prioritizes humour, passion, and impactful results.
Your Impact:
In the role of Senior ML Engineer, you will guide and influence multiple teams within the department. You will shape the strategic vision for the development and integration of machine learning technologies, championing best practices and driving innovation. Mentoring other engineers to cultivate technical skills and leadership within the team is a key part of your role. Your focus will be on steering the department's technical objectives to ensure alignment with the organization's broader goals.
What You'll do:
- Amplify the influence of machine learning solutions across various teams.
- Develop and implement strategic ML initiatives that support organizational goals.
- Lead the design and deployment of advanced ML systems to enhance product offerings.
- Ensure alignment and knowledge sharing across the department for all ML efforts.
- Drive the department-wide adoption of cutting-edge machine learning techniques and frameworks.
- Lead impactful projects that use ML to create new market opportunities and enhance the competitive edge.
- Promote collaboration among different teams for seamless integration of ML technologies.
- Guide the creation of scalable and robust ML architectures that underpin multiple product applications.
- Foster a culture of continuous learning and adaptability to new ML technologies and market trends.
Key Competencies:
- Over 8 years of experience as an ML Engineer or Data Scientist, ideally in SaaS environments.
- Proficient in identifying and translating client business problems into ML solutions, demonstrating their business impact.
- Strong written and verbal communication skills.
- Skilled in modelling dynamic systems and time series forecasting.
- Extensive experience with ML technology stack, including Python/Pandas, Pytorch, Sklearn, Keras/TensorFlow tuning frameworks, and scalable technical solutions.
- Proficient in analytical and statistical modeling, such as non-parametric prediction, unsupervised learning, measuring uncertainty, and statistical inference.
- Active in the open-source community with contributions to public libraries or frameworks.
Preferred Qualifications:
- Formal training in various statistical learning algorithms.
- Over 5 years of experience deploying ML systems on platforms like GCP or AWS.
- Experience in managing model serving pipelines in production environments.
- Creative and resourceful problem-solving skills.
- Values ambition, collaboration, and empathy.
- Experience with probabilistic programming.
Important note:Solere is acting as a recruitment agency in connection to this role. By applying to this role or submitting your CV you agree for Solere to present your resume to companies.