Senior Machine Learning Engineer, Sales AI
Remote, Anywhere in North America
Applications have closed
Postscript
Engage with customers wherever they are. Postscript helps you build strong customer relationships across the entire buying experience. Start your free trial today.Postscript is redefining marketing for ecommerce companies. By introducing SMS as an entirely new channel for ecommerce stores to engage, retain, and convert their customer base, brands are seeing huge ROI with Postscript. Backed by Greylock, Y Combinator and other top investors, Postscript is growing fast and looking for remarkable people to help build a world class organization.
** We are not open to working with external agencies on this role and are only considering candidates based in North America**
As a Senior ML Engineer on the Sales AI team, you will bring your passion for AI and machine learning to support our new Sales product line. You will design, build, and improve AI automation and augmentation to scale the most effective ecommerce conversational salesforce.
Our new Sales product drives revenue for merchants by connecting our sales team with potential customers. We are using AI to support the needs of different users of our product: sales associates, customers, sales managers, and the merchant.
Our backend, primarily Python within an AWS architecture, is evolving to meet scalability and complexity demands. You'll use AI tools and neural networks for natural language processing, developing machine learning models to predict customer behavior, personalize interactions, and automate tasks. Your role involves integrating these technologies into our sales platform for a seamless experience, collaborating with our engineering team. Beyond coding, you'll influence our engineering culture, mentor in AI/ML best practices, and drive innovation that maintains our competitive edge in e-commerce.
Primary duties
- Architect, build, maintain, and improve AI automation and augmented experiences that drive efficiency in the Sales product.
- Work closely with product and other engineers on your team to deliver a high quality, world-class product
- Lead group sessions and participate in the product to engineering project lifecycle to actively ensure your team is guided by product-focused architecture and implementation to achieve our goals .
- Guide your team to make optimal technical and infrastructure decisions, using POCs and new technologies to drive change.
- Mentor other engineers on best practices, standards, and learning opportunities.
- Contribute to roadmap ideation by framing tradeoffs in solutions for prioritized problem spaces.
- Lead planning and project management for AI initiatives within the Sales product. Be accountable for communicating transparently and proactively, defining scope, breaking down and estimating tasks, risk and change management.
- Help build the best team by giving candid, constructive feedback that improves team processes, outcomes, and opportunities.
What We’ll Love About You
- Effective communicator that can translate technical ideas and solutions to non-technical teams
- Experience building products from ground up.
- Understanding of how parts of a system fit together, from the user interface to the data model.
- Skillset driving experimentation in a new domain with the ability to frame tradeoffs between different technical strategies.
- Experience in building and shipping LLM-driven apps into production, with an understanding of the underlying principles, and evaluating & improving performance over time after deployment.
- Experience with AI Ops & tooling specific to LLMs (e.g., vector databases, RAG, prompt ops, frameworks like PyTorch) to enhance and streamline LLM development and deployment.
- Intellectual curiosity and keeping up with the latest research in the AI field.
- Participate in end-to-end machine learning model lifecycle, from prototyping, implementing & evaluating various Machine Learning models (traditional algorithms, deep learning models and Large Language Models), followed by deployment and monitoring using AWS tools.
- Leads and advocates for engineering best practices in machine learning (code quality, testing, monitoring, model evaluation, to name a few)
What You’ll Love About Us
- Salary range of USD $170,000 to $200,000 base plus significant equity regardless of location
- High growth startup - plenty of room for you to directly impact the company and grow your career!
- Remote team - work from home (or wherever!)
- Fun - We’re passionate and enjoy what we do
- Competitive compensation and opportunity for equity
- Flexible paid time off
- Health, dental, vision insurance
- Other great perks
For information about how we use your personal data, please see our U.S. Job Applicant Privacy Notice
You are welcome here. Postscript is an ever-evolving place of equal employment for talented individuals.
Tags: Architecture AWS Deep Learning E-commerce Engineering LLMs Machine Learning ML models NLP Privacy Prototyping Python PyTorch Research Salesforce Testing
Perks/benefits: Career development Competitive pay Equity Flex hours Flex vacation Health care Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Research Scientist jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs