Senior Machine Learning Infrastructure Engineer at Ascent

| Chicago
Sorry, this job was removed at 5:50 p.m. (CST) on Tuesday, February 26, 2019
Find out who's hiring in Chicago.
See all Data + Analytics jobs in Chicago
Please send resume and cover letter to [email protected] with "Senior Machine Learning Infrastructure Engineer
/Built In" in the subject line.
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

Overview

At Ascent we are building an intelligent compliance platform that enables compliance professionals to easily track and understand their compliance obligations and related regulation. To support that platform, we are also building a data and machine-learning back-end; this back-end will house, coordinate, and route all of our data pipelines and machine learning models.

We are looking for experienced, passionate infrastructure engineers to help us build and maintain that platform. As a Senior Machine Learning Infrastructure Engineer at Ascent, you will be working closely with other Engineers and Data Scientists and the broader tech team to design and build infrastructure that a) ingests and handles data (e.g. regulations, customer data, machine learning features, etc); b) deploys and coordinates data microservices such as machine learning models or other transformations; c) facilitates workflows across these microservices and data layers; and d) tests, monitors, and reports on itself. Given the increased responsibility at the Senior level, you will play a strong role in designing this infrastructure, thinking about the long-term implications of design decisions, as well as hiring and mentoring more junior engineers.

We use both hosted solutions and open source tools. We have a strong bias towards containerization and internal transparency. We also place a high premium on our culture and values, both within the tech team and the company as a whole. We believe a diversity of opinions and perspectives creates a stronger team and product, and we are committed to an equal opportunity hiring process.

Responsibilities

  • Design and build infrastructure to host machine learning models as microservices using modern conventions and coding practices
  • Help design and implement data models and database layers that support our data science activities
  • Use creativity and independent thinking to solve technical problems
  • Mentor more junior team members
  • Communicate clearly and effectively with technical and non-technical colleagues about our data engineering projects
  • Work closely with data scientists to understand their needs and processes
  • Work closely with our whole technology team to successfully maintain our data platform alongside the broader technology stack
  • Implement strong and consistent internal API conventions and documentation
  • Implement with an emphasis on tests, maintainability, and clean coding practices to produce simple solutions and reduce technical debt

Minimum Skills and Experience

  • 3+ years building and maintaining back-end services in production, preferably using container-based architectures
  • 1+ years building and maintaining data science pipelines that incorporate machine learning models in a production environment behind an API
  • Experience with large data sets and modern tools for handling them such as Apache Spark, Kafka, Cassandra, Mesos, etc
  • Experience using AWS tools and services
  • Ability to develop creative technical solutions given a set of business requirements and a strong understanding of modern data architectures
  • Ability to work productively on small teams and lead workstreams independently if needed
  • Experience mentoring less experienced colleagues
  • Ability to communicate technical ideas to non-technical colleagues
  • Proficient in SQL, *nix CLI tools (grep/sed/awk/BASH, etc), and Python
  • Familiarity with Java and an understanding of the JVM ecosystem
  • Experience deploying and maintaining code using git-based tools and operating in a continuous deployment/integration environment
  • Experience writing thorough tests and documentation for maintainable code-bases

Preferred Skills and Experience

  • 3+ years building and maintaining data science pipelines that incorporate machine learning models in a production environment behind an API
  • Experience working with data scientists in production roles
  • Experience with container management solutions like Kubernetes, Marathon, etc
  • Experience with solutions for “fast data” architectures like DC/OS or other similar architectures and tools
  • Experience storing and using large amounts of text data and text transformations
Read Full Job Description
Please send resume and cover letter to [email protected] with "Senior Machine Learning Infrastructure Engineer
/Built In" in the subject line.
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

Technology we use

  • Engineering
    • JavascriptLanguages
    • PythonLanguages
    • RubyLanguages
    • jQueryLibraries
    • ReactLibraries
    • Twitter BootstrapLibraries
    • DjangoFrameworks
    • FlaskFrameworks
    • Ruby on RailsFrameworks
    • MongoDBDatabases
    • Neo4jDatabases
    • PostgreSQLDatabases
    • RedisDatabases

Location

Our office is convenient to all loop trains and many buses, and the Pedway! We have a great selection of healthy lunch options nearby.

An Insider's view of Ascent

What are some social events your company does?

Our leadership really believes in building and strengthening our community here at Ascent. We've had a day-long company outing to a baseball game. We have monthly team lunches, which are a good way to connect with colleagues over food. We also have movie outings and happy hours that we all enjoy together!

Shubhangi

Regulatory Intelligence Analyst

What's the biggest problem your team is solving?

My team coordinates work that needs to be done by both people and machines. We do this by creating delightful interfaces/experiences for our users and by augmenting our workflows with machine learning to produce work that’s intuitive and efficient. This means my team gets to play with fun tech from the frontend all the way to the back.

Conrad

Senior Software Engineer

What makes someone successful on your team?

Prior to joining Ascent, I used to believe "brilliance is evenly distributed but opportunity is not". Here at Ascent, irrespective of your gender, race or color, the opportunity to impact and change the world around you is evenly distributed and all anyone would require to succeed is the passion and desire to solve problems.

Sunkanmi

Software Developer

How do your team's ideas influence the company's direction?

Our job as a leadership team is to provide context, not solutions. The people working directly on a project are in the best position to make decisions, so we hire smart people and then trust them. We're here to support our teams and to make sure efforts are aligned across the company.

Chris

CTO

What are Ascent Perks + Benefits

Ascent Benefits Overview

Everyone brings a unique set of skills and talents, and we want to take advantage of everything you have to offer. We also want to make sure you get as much out of this opportunity as you put in, and we’ll give you the support you need for Ascent to be a transformational period of growth in your career.

Our team enjoys a number of benefits and perks, including:

- Competitive compensation
- Medical, dental, vision, mental health insurance – with individual premiums 95% paid by Ascent
- 401K offered
- Commuter benefits
- Unlimited PTO and Bank Holidays
- Flexible work schedule
- Professional development stipend
- The opportunity to work with smart people on challenging problems!

Culture
Friends outside of work
Eat lunch together
Open door policy
Team owned deliverables
Team based strategic planning
Pair programming
Open office floor plan
Diversity
Highly diverse management team
Mean gender pay gap below 10%
Health Insurance & Wellness Benefits
Dental Benefits
Vision Benefits
Health Insurance Benefits
Multiple plan options with Blue Cross Blue Shield, as well an HSA (Heath Savings Account).
Wellness Programs
Onsite Gym
There is an on-site gym in Prudential Plaza which is free to employees.
Retirement & Stock Options Benefits
401(K)
Company Equity
Child Care & Parental Leave Benefits
Flexible Work Schedule
Ascent offers a completely flexible scheduling and work from home policy.
Remote Work Program
Vacation & Time Off Benefits
Unlimited Vacation Policy
Generous PTO
Sabbatical
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Stocked Kitchen
Some Meals Provided
Happy Hours
Professional Development Benefits
Job Training & Conferences
Ascent offers a generous professional development stipend per year.
Promote from within

Additional Perks + Benefits

We want to create an environment where people can do their best work. That means supporting our employees in their careers, in their health, and in their lives. We're always looking for ways to concretely demonstrate these values. For example, we pay 95% of our employees' individual health premiums!

More Jobs at Ascent1 open job
All Jobs
Dev + Engineer
Developer
new
Chicago
Please send resume and cover letter to [email protected] with "Senior Machine Learning Infrastructure Engineer
/Built In" in the subject line.
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
Save jobView Ascent's full profileSee more Ascent jobs