Posted on 
Jun 20, 2024

Senior ML Engineer, Data Services

New York
Mid-Senior ICs
Engineering, Data Science + Analytics
Justworks
Justworks
Justworks
Private
1001-5000
HR & Recruiting

Justworks is a technology company that levels the playing field for all small

businesses. Through our software and as a partner, we help our customers take care of their teams, streamline their operations, and navigate the complex aspects of managing a workforce with confidence.

Job Description

Who You Are

===============

As a Senior Machine Learning (ML) Engineer, you will be instrumental in the deployment, scaling, and ongoing optimization of our ML/ GenAI models. This role requires a robust technical foundation in machine learning operations and a proactive approach to innovation and problem-solving. You will collaborate closely with data scientists, software developers, and product managers to enhance our AI capabilities and ensure they align with business objectives.

Your expertise will bridge the gap between data science and engineering, ensuring our AI-driven solutions are robust, scalable, and integrated seamlessly into our internal operations and external products.

Within the Justworks Data Services team, you’ll find a highly-collaborative, diverse group of individuals motivated to empower Justworkers to work fearlessly and responsibly with data. We are committed to growing our impact in the best interest of our customers and evolving how we work together in the best interest of our people & company. Come build the future with us!

Your Success Profile

========================

What You Will Work On

-------------------------

  • Model Deployment: Lead the deployment of ML/AI/ Gen AI models into production, ensuring they are scalable, maintainable, and well-integrated with existing systems.
  • Performance Monitoring: Set up and maintain monitoring systems for AI models in production, tracking performance and ensuring they meet the required accuracy and efficiency standards.
  • Pipeline Development: Develop and optimize ML pipelines for continuous training and deployment of models, incorporating best practices in automation and CI/CD methodologies.
  • Innovation and Research: Stay abreast of the latest developments in AI and machine learning, particularly in generative models, to suggest and implement cutting-edge solutions.
  • Cross-functional Collaboration: Work with various teams to understand their needs and how generative AI can solve complex business problems, translating these into actionable AI strategies.
  • Compliance and Security: Ensure all AI operations adhere to relevant data privacy laws and company policies, implementing robust security measures to safeguard data integrity.

How You Will Do Your Work

-----------------------------

As a Senior ML Engineer, how results are achieved is paramount for your success and ultimately result in our success as an organization.  In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

  • Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
  • Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
  • Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
  • Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example.
  • Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

------------------

  • Minimum of 7 years of professional hands-on experience in Machine Learning
  • Minimum of 2 years working on ML and GenAI platform capabilities with modern cloud technologies (e.g. Snowflake, dbt, Fivetran, Databricks)
  • Highly fluent in SQL and Python, with firm understanding of computer science fundamentals and distributed systems
  • Experience with SQL and noSQL databases
  • Expertise in Amazon Web Services (AWS) with an emphasis on serverless technologies, infrastructure-as-code, and multi-account organizations
  • Proficiency with creating and maintaining CI/CD pipelines (CircleCI, GitHub Actions) and containerization technologies (e.g. Docker)
  • Excellent communication and technical writing skills, with the ability to manage stakeholders and internal customers

 

The base wage range for this position based in our New York City Office is targeted at $192,500.00 to $211,750.00 per year.

#LI-AJ1

#LI-Hybrid

Who You Are

As a Senior Machine Learning (ML) Engineer, you will be instrumental in the deployment, scaling, and ongoing optimization of our ML/ GenAI models. This role requires a robust technical foundation in machine learning operations and a proactive approach to innovation and problem-solving. You will collaborate closely with data scientists, software developers, and product managers to enhance our AI capabilities and ensure they align with business objectives.

Your expertise will bridge the gap between data science and engineering, ensuring our AI-driven solutions are robust, scalable, and integrated seamlessly into our internal operations and external products.

Within the Justworks Data Services team, you’ll find a highly-collaborative, diverse group of individuals motivated to empower Justworkers to work fearlessly and responsibly with data. We are committed to growing our impact in the best interest of our customers and evolving how we work together in the best interest of our people & company. Come build the future with us!

Your Success Profile

What You Will Work On

  • Model Deployment: Lead the deployment of ML/AI/ Gen AI models into production, ensuring they are scalable, maintainable, and well-integrated with existing systems.
  • Performance Monitoring: Set up and maintain monitoring systems for AI models in production, tracking performance and ensuring they meet the required accuracy and efficiency standards.
  • Pipeline Development: Develop and optimize ML pipelines for continuous training and deployment of models, incorporating best practices in automation and CI/CD methodologies.
  • Innovation and Research: Stay abreast of the latest developments in AI and machine learning, particularly in generative models, to suggest and implement cutting-edge solutions.
  • Cross-functional Collaboration: Work with various teams to understand their needs and how generative AI can solve complex business problems, translating these into actionable AI strategies.
  • Compliance and Security: Ensure all AI operations adhere to relevant data privacy laws and company policies, implementing robust security measures to safeguard data integrity.

How You Will Do Your Work

As a Senior ML Engineer, how results are achieved is paramount for your success and ultimately result in our success as an organization.  In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

  • Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
  • Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
  • Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
  • Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 
  • Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.” 

Qualifications

  • Minimum of 7 years of professional hands-on experience in Machine Learning
  • Minimum of 2 years working on ML and GenAI platform capabilities with modern cloud technologies (e.g. Snowflake, dbt, Fivetran, Databricks)
  • Highly fluent in SQL and Python, with firm understanding of computer science fundamentals and distributed systems
  • Experience with SQL and noSQL databases
  • Expertise in Amazon Web Services (AWS) with an emphasis on serverless technologies, infrastructure-as-code, and multi-account organizations
  • Proficiency with creating and maintaining CI/CD pipelines (CircleCI, GitHub Actions) and containerization technologies (e.g. Docker)
  • Excellent communication and technical writing skills, with the ability to manage stakeholders and internal customers

 

The base wage range for this position based in our New York City Office is targeted at $192,500.00 to $211,750.00 per year.

#LI-AJ1

#LI-Hybrid

Receive Tech Ladies'
newest jobs in your inbox,
every week.

Join Tech Ladies for full-access to the job board, member-only events, and more!

If you're already a member, we haven't forgotten you. We promise. It's a new system. If you fill out the form once, it'll remember you going forward. Apologies for the inconvenience.

New York
New York
JavaScript
JavaScript
Ruby
Ruby
Ruby On Rails
Ruby On Rails
MySQL
MySQL
Engineering
Engineering
Data Science + Analytics
Data Science + Analytics
Hybrid
Hybrid