The Role

As a Machine Learning Engineer on the Striveworks Technical Engagements team you will be challenged—and trusted—on day one to be a core contributor to the projects and direction of the company. You will be a key Striveworks representative and solutions provider to project sites and customers where Chariot, our proprietary data platform is deployed. You will be leading and working alongside a team of data scientists, software engineers, and site reliability engineers to transform machine learning models into functional products.

You will use your expertise to integrate and apply the Striveworks platform, and rapidly prototype and deliver machine learning capabilities for our customers through custom algorithms and software systems. You will tackle real-world problems as they unfold, utilizing your technical expertise and communication skills to provide reliable and scalable solutions.

The anticipated base pay range for this position is $190,000–$240,000/year. In addition to base pay Striveworks offers annual performance-based equity paired with a lucrative cash bonus, a full benefits suite, and two compensation reviews per year. 

You are right for this challenge if you:

• Value and possess technical expertise and you push the boundaries of your own capabilities
• Are outcome-driven, not requirements-driven
• Know that customer-facing activities, technical communications, and time management skills are all important
• Are passionate about the intersection of Software Engineering and Data Science

This role both allows and requires flexibility in work location. At times, you will be tasked with on-site travel to customer locations. At other times, you can be based in a location of your choice, or visit our Austin, Texas headquarters.

Potential projects include:

• Development of machine learning models and custom analytic algorithms on image, video, text, geospatial, time-series, and/or tabular data sets
• Orchestration and automation of complex data engineering and analytic pipelines
• Implementation of and integration with modern event-driven and microservices architectures 
• Everything as Code 
• Implement and deploy software into cloud environments
• Opportunity to conduct mission-critical field work

The Right Fit

We spend a lot of time in our hiring process talking about shared values, because we passionately believe that fostering an environment where people can self-actualize and pursue greatness is the best way to achieve our individual and collective goals. What does this mean? We want an environment where our team members persevere relentlessly to achieve their goals. We want an environment where team members know the team has the same goals, and they make and accept decisions for the team with humility. If your say/do ratio is 1, if you know that there is no smartest person in the room, then we’re already on the same page.

Here's what else we are looking for: 

• Expertise in data-oriented systems, e.g., data engineering, data cleaning, ETL pipelines, machine learning
• Familiarity with algorithms, data structures, and design patterns
• Strong previous experience in building and delivering production analytics systems
• Experience leading a team
• Significant experience with Python 
• Experience with database design and architecture: relational and non-relational
• Understanding of networked and distributed computing
• Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
• Familiarity with graphical user interface (GUI) design concepts and technologies
• Driven, self-directed personality
• Strong sense of mission and commitment to making a difference
• B.S. degree in computer science, machine learning, or a related discipline; and 8+ years relevant experience
• Active Top Secret security clearance
• Able and willing to travel up to 25%

The Wish List

We are very interested in Machine Learning Engineers who possess the above qualifications, and heavily appreciate and consider the addition of:

• Experience with workflow automation
• Experience with one or more cloud architectures
• Understanding of JavaScript frameworks such as React, Vue, or Angular
• Experience designing RESTful or GraphQL APIs
• Comfort with deep learning library (PyTorch, TensorFlow) concepts and usage 
• Understanding of synchronous, asynchronous, and concurrent programming 
• Knowledge of messaging systems such as Kafka, RabbitMQ, or similar

The Tech Stack

We believe in constant curiosity and peer-driven learning. As a Machine Learning Engineer for Engagements at Striveworks, you will learn about—or teach—the latest software technologies and processes, participate in open-source projects, and take part in pair programming. You will be able to grow your skills in:

• Python, PyTorch, NumPy
• Docker, Kubernetes, Terraform, kOps
• React, Typescript, Angular
• Flyte

Find some of our public projects at github.com/Striveworks.

The Benefits

• Top-of-market salary and total compensation
• Generous equity plan
• Health/vision/dental insurance
• Flexible PTO
• Childcare leave

Striveworks: Better Models, Faster

The world’s looked to data analytics to bridge the gap between floods of data and the struggle to use that data effectively to make timely, impactful decisions. Today, most organizations are awash in analytics that “aren’t quite right”—models that were developed too generally, or too slowly, to be effective in dynamic, fast-paced environments. Striveworks is simplifying ModelOps with a powerful and extensible platform that instantiates the data analytic process as code. 

Striveworks is trusted by leading Fortune 500 firms as well as leaders in the public sector to be their primary solution for managing model development, monitoring, and governance—and ensuring those models solve the real challenges their organizations face. 

Striveworks’ Chariot platform enables users to turn their own production data into models and turn models into production systems. Uniquely, as you train, test, deploy, and use models, our lineage system enables you to track not only the “upstream” provenance of model and data sources, but also the “downstream” usage of the resultant model inferences. Combining this with a highly principled experience for data and model development, Chariot gives our customers in highly regulated industries an unmatched governance solution over the top of a performant ModelOps platform.

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion or belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at [email protected]

Striveworks is a participating employer in the E-Verify program.