Senior Machine Learning Engineer

Key Skills

AngularJS, Docker, GoLang, JavaScript, Kubernetes-K8s, NumPy, Python Programming, PyTorch, React.js, Terraform, TypeScript

Job Description

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
• Free lunches, snacks, and happy hours
• Flexible PTO plan