Open Positions

Software Engineer

Remote

USA & Canada

About OneSix 

OneSix is a leading data and artificial intelligence (AI) consultancy that helps businesses build the strategy, technology, and teams they need to scale growth and efficiency. Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers seamlessly integrate with client teams to solve their most challenging business problems. Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices. With the recent acquisition of Strong Analytics, an ML and AI consultancy, OneSix is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof. 

OneSix is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company. We are committed to fostering an inclusive employee experience that reflects the world we live in today. We’re an equal-opportunity employer that welcomes people regardless of backgrounds, experiences, abilities, and perspectives.

at OneSix, your work will have an immediate impact on clients addressing real world challenges. Our work spans industries such as manufacturing, gaming, agriculture, automotive, and healthcare, among others. We pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying data science and machine learning to real -world problems where data must be gathered, transformed, cleaned, and integrated into a larger architecture.

Responsibilities

  • Work with machine learning scientists and other engineers to develop custom ML solutions for a variety of industries and use cases

  • Build machine learning pipelines from ideation up through prototyping, development, and deployment

  • Build data pipelines which can ingest, transform, and export data

  • Embed statistical algorithms and machine learning models in cloud-based applications

  • Help identify areas of opportunity and improvement within projects

  • Collaborate in a fully remote, Agile-like environment using tools like Slack and Git (with a lot of uninterrupted development time)

We offer a comprehensive compensation package, including:

  • Competitive salary

  • 100%-covered Health insurance for employees, 75%-covered dependents

  • Four weeks PTO

  • 401(k) with employer contribution matching

  • Personalized monthly perks with matched charitable donations

  • A 100% remote work environment with highly protected work/life balance

Job requirements

All applicants will be considered based on their experience and demonstrated skill/aptitude, not formal education. Candidates will be evaluated based on their experience in the following areas:

 

  • Minimum 2 years of industry experience writing and deploying Python-based
  • Python
    • Very strong proficiency in Python.
    • Experience in packaging custom Python applications.
  • API Development
    • Proficient in developing RESTful and gRPC APIs.
    • Experience using FastAPI.
  • Big Data
    • Experience using PySpark.
  • DevOps Skills
    • Containerization
      • Proficiency in containerizing applications using Docker and deploying on Kubernetes or cloud-based container services platforms (e.g., ECS).
    • Infrastructure as Code
      • Experience defining and deploying infrastructure-as-code with Terraform.Cloud Services
      • Hands-on experience with AWS services including EKS, ECS, EMR, Batch, Glue, Lambda, and SQS.
    • Data/ML Experience
      • Strong knowledge of SQL.
      • Experience integrating with ML models (locally or externally hosted).
      • Experience with Nvidia Triton, Azure, and Snowflake is ideal but not required.
  • Demonstrated problem solving and quantitative skills, combined with excellent written and verbal communication skills are required

 

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Don’t see the role you are looking for? Apply to our General Interest Application and we will get back
to you with an update.

Voices of Our Team

OneSix actively empowers its employees to grow and to have a voice, to effect real change to benefit the company and its clients. Individual contributions are recognized, and any shortcomings treated as opportunities for improvement.

A transparent work culture that encompasses a shared passion to grow technically and the satisfaction from helping multiple clients with their challenges.

At OneSix, there are endless opportunities to grow. Work-life balance and company culture are top priorities for the co-founders. Great talent, support, and an incredible culture make OneSix a top employer!

I am encouraged to grow at my own pace, while maintaining a healthy work/life balance. I have never been afraid to ask questions or provide feedback to senior staff and leadership. The culture has a palpable sense of mutual respect across all levels.

Our team spends each day problem solving and we are provided with a sophisticated stack of tools to work efficiently. There are no egos which fosters an open-door policy making room for collaboration – this goes all the way up to the co-founders.

OneSix has tapped into a simple secret: treat your employees like gold and they will treat your customers like gold. They have built a community of smart technologists, treat them well, and now can sit back and watch the customers keep coming back.