Senior Machine Learning Engineer (USA Only - 100% Remote)

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

NoVisa

Customer Relationship Management, Software Development, SaaSIndustries

Requirements

Candidates should have over 5 years of experience as a Machine Learning Engineer or Data Scientist, with a significant portion at a Senior or Staff level, solving meaningful business problems. Extensive experience with Python and software development methodologies is required, along with deep knowledge of machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Experience deploying ML models to production and working with production relational databases and data warehouses such as Redshift is also necessary.

Responsibilities

The Senior Machine Learning Engineer will collaborate with product, engineering, and other teams to identify new data-driven product capabilities. They will develop statistical and machine learning models to address business challenges, design and implement end-to-end data pipelines for data normalization and transformation, and work with backend and infrastructure engineers to productionize ML models. Responsibilities also include feature engineering, monitoring data processing infrastructure, defining data science best practices, ensuring data integrity, and contributing expertise to improve AI efforts such as fine-tuning and enhancing RAG data sources.

Skills

Machine Learning

Python

Flask

TaskTiger

MongoDB

PostgreSQL

Redshift

Elasticsearch

AWS

Statistical Analysis

LLMs

Data Warehousing

Data Analysis

Close

CRM platform for startups and SMBs

About Close

Close provides a customer relationship management (CRM) platform tailored for startups and small to medium-sized businesses (SMBs). The platform enhances communication and minimizes manual data entry, allowing sales representatives to work more efficiently. Close's features include a user-friendly interface and automation tools that aim to double the productivity of sales teams. Unlike many competitors, Close operates on a subscription-based model and is a bootstrapped, profitable company with a fully remote team of around 90 employees. The company prioritizes autonomy and asynchronous communication, enabling team members to work from anywhere. Close's goal is to create a desirable work environment while maintaining transparency and investing in team growth, all while focusing on productivity and quality without micromanagement.

Toronto, CanadaHeadquarters

2013Year Founded

$243.2KTotal Funding

SEEDCompany Stage

Enterprise SoftwareIndustries

51-200Employees