Senior Software Engineer I - ML Engineer

1 Month ago • 5 Years +

Job Summary

Job Description

As a Machine Learning Engineer, you will be a key player in creating the innovative AI tools of the future. You will be responsible for developing and improving prompt engineering techniques, constantly seeking new ways to enhance generative AI. This includes designing and creating prompts to guide large language models for specific, accurate responses, collaborating with cross-functional teams to translate needs into effective prompts, and testing and evaluating the effectiveness of prompts. You will also be involved in integrating prompt engineering models into production environments and contributing to a team-oriented environment to meet business needs. Sumo Logic empowers digital businesses by providing real-time analytics and insights across observability and security solutions for cloud-native applications.

Must have:

5+ years of industry experience with ownership and delivery.
5+ years of cross-functional experience with technical and non-technical teams.
Solid grounding in core ML concepts and basic statistics.
Expert level proficiency in Python.
Experience with LLM core concepts, libraries, and application design patterns.

Good to have:

Experience with common ML libraries (e.g., scikit-learn, PyTorch).
Experience with relevant cloud provider services (e.g., AWS Sagemaker).
Agile software development experience (test-driven development, iterative and incremental development) is a plus.
LLM Ops experience - Infrastructure, Performance & Observability

8 skills required

8 skills required for this role

Add these skills to join the top 1% applicants for this job

aws

python

pytorch

scikit-learn

design-patterns

agile-development

cross-functional

saas-business-models

Job Details

Senior Software Engineer I - ML Engineer

The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data

As a Machine Learning Engineer, you'll be the driving force behind creating the magic that powers the next generation of AI tools. In this groundbreaking role, you’ll help develop and refine prompt engineering techniques, constantly exploring innovative ways to improve generative AI.

Responsibilities

Design and create prompts that guide large language models to produce specific, accurate, and exceptional responses.
Craft precise and creative prompts that guide AI toward desired outcomes, fine-tuning the results for accuracy and excellence.
Collaborate with Product Leads, Data Engineers, Developers, and other creative minds to translate needs into effective prompts, enhancing the impact of AI solutions.
Test and evaluate the effectiveness of both existing and newly developed prompts. - Develop and maintain a comprehensive library of prompts, ensuring clarity, effectiveness, and best practice sharing. Experience with Prompt evaluation is also critical to this role.
Work with cross-functional teams to integrate prompt engineering models into production environments.
Work as a member of a team, helping the team respond quickly and effectively to business needs.

Required Qualifications and Skills

B.Tech, M.Tech, or Ph.D. in Computer Science or related discipline
5+ years of industry experience with a proven track record of ownership and delivery
5+ years of experience working cross-functionally with both technical and non-technical teams
Solid grounding in core ML concepts and basic statistics
Languages: expert level with Python, familiarity with JVM languages is a plus
LLM core concepts, libraries, and application design patterns
Experience defining program requirements and using data to drive improvements

Desired Qualifications and Skills

Common ML libraries (eg, scikit-learn, PyTorch) and components (eg, Airflow, MLFlow)
Relevant cloud provider services (eg, AWS Sagemaker)
Agile software development experience (test-driven development, iterative and incremental development) is a plus.
LLM Ops experience - Infrastructure, Performance & Observability

About Us

Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.

Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.