Machine Learning Engineer
To see similar active jobs please follow this link: Remote Development jobs
Position Overview:
Do you enjoy working on data-intensive products and being involved in projects from an early stage? Come join our quickly growing Engineering team to help design, improve and scale OfferFit's self-learning (reinforcement learning) AI platform.
In particular, you will:
Use robust software engineering best practices to design, implement, and improve modular components in a cutting-edge ML product.
Work closely with customer-facing teams to understand, translate, and generalize particular use cases to generic platform components.
Apply your extensive knowledge of Python and its ecosystem to produce clean, readable, and extendible code, and coach others on the team in doing the same.
Collaborate with teams responsible for OfferFit’s product strategy and roadmap.
Support teams implementing OfferFit for customers to ensure their success.
Work closely with our Applied Science team (data scientists) to help productize and deploy attribution and reinforcement learning algorithm improvements
Improve our core data pipelines and reporting architecture.
Tech stack:
Data Science/Back End: Python (Pandas, Polars, Ibis, Spark), SQL, BigQuery, FastAPI
Web [Not required for this role]: JavaScript (Vue, Node.js), HTML, CSS
Architecture/DevOps: Kubernetes, Airflow, Terraform, GCP
We write well-tested, type-hinted, documented, modular code and use pre-commit hooks, CI/CD, and issue tracking for development.
Why is it great:
No toy datasets in notebooks — we’re implementing AI pipelines in production at scale!
Learn tons about data architecture, data science, and self-learning AI.
Work in a team that not only talks the talk of development best practices, but walks the walk — unit & integration tests, modular design, CI/CD, pair programming, code reviews — the works.
Join OfferFit’s fast-paced, supportive, and professional team. We make sure all of our team members are empowered and receive great mentorship and coaching.
Who’s a Fit:
Exceptional coder: you write clean, object-oriented code; you care about good design and terse, testable APIs.
Tinkerer: you regularly explore and learn new technologies and methods, especially in the data architecture and data science domains.
Entrepreneurial: you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes.
Structured and organized: you can structure a plan, align stakeholders, and see it through to execution.
Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech.
Background in Machine Learning Engineering and/or Data Engineering is preferred. Some Data Science experience is nice-to-have but is not required.
Ideal Skills and Experience:
2+ years of experience working with Python in a production setting, including 1+ years in the data / machine learning ecosystem
Experience working with at least one major cloud platform (GCP, AWS, Azure, etc.)
Experience putting ML models into production
General understanding of supervised learning principles is a plus but not required
OfferFit Benefits and Perks:
Generous PTO (starting at 25 days PTO per year) and Parental leave policy (12 weeks paid)
100% remote work environment with flexible hours
Quarterly gatherings where we meet in person in a different city to work together, bond as a team and celebrate our progress
Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health “barometer” meetings)
Ability to learn and develop from an experienced leadership team (ex-Amazon, McKinsey, BCG, and IBM, among others) who are focused on building a talented, diverse, and inclusive team
Dedication to building a strong culture (e.g., team resource groups, weekly recognitions, major life event celebrations, mental health/sustainability days off, etc.)
Additional Requirements:
Fluency in English is required for this position
Ability to partially overlap with US time zones required
Please note that we adjust compensation for non–US countries using a relative cost of labor adjustment between the US and your country of residence. Applicants should apply via OfferFit’s internal or external careers site.
About the job
Machine Learning Engineer
To see similar active jobs please follow this link: Remote Development jobs
Position Overview:
Do you enjoy working on data-intensive products and being involved in projects from an early stage? Come join our quickly growing Engineering team to help design, improve and scale OfferFit's self-learning (reinforcement learning) AI platform.
In particular, you will:
Use robust software engineering best practices to design, implement, and improve modular components in a cutting-edge ML product.
Work closely with customer-facing teams to understand, translate, and generalize particular use cases to generic platform components.
Apply your extensive knowledge of Python and its ecosystem to produce clean, readable, and extendible code, and coach others on the team in doing the same.
Collaborate with teams responsible for OfferFit’s product strategy and roadmap.
Support teams implementing OfferFit for customers to ensure their success.
Work closely with our Applied Science team (data scientists) to help productize and deploy attribution and reinforcement learning algorithm improvements
Improve our core data pipelines and reporting architecture.
Tech stack:
Data Science/Back End: Python (Pandas, Polars, Ibis, Spark), SQL, BigQuery, FastAPI
Web [Not required for this role]: JavaScript (Vue, Node.js), HTML, CSS
Architecture/DevOps: Kubernetes, Airflow, Terraform, GCP
We write well-tested, type-hinted, documented, modular code and use pre-commit hooks, CI/CD, and issue tracking for development.
Why is it great:
No toy datasets in notebooks — we’re implementing AI pipelines in production at scale!
Learn tons about data architecture, data science, and self-learning AI.
Work in a team that not only talks the talk of development best practices, but walks the walk — unit & integration tests, modular design, CI/CD, pair programming, code reviews — the works.
Join OfferFit’s fast-paced, supportive, and professional team. We make sure all of our team members are empowered and receive great mentorship and coaching.
Who’s a Fit:
Exceptional coder: you write clean, object-oriented code; you care about good design and terse, testable APIs.
Tinkerer: you regularly explore and learn new technologies and methods, especially in the data architecture and data science domains.
Entrepreneurial: you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes.
Structured and organized: you can structure a plan, align stakeholders, and see it through to execution.
Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech.
Background in Machine Learning Engineering and/or Data Engineering is preferred. Some Data Science experience is nice-to-have but is not required.
Ideal Skills and Experience:
2+ years of experience working with Python in a production setting, including 1+ years in the data / machine learning ecosystem
Experience working with at least one major cloud platform (GCP, AWS, Azure, etc.)
Experience putting ML models into production
General understanding of supervised learning principles is a plus but not required
OfferFit Benefits and Perks:
Generous PTO (starting at 25 days PTO per year) and Parental leave policy (12 weeks paid)
100% remote work environment with flexible hours
Quarterly gatherings where we meet in person in a different city to work together, bond as a team and celebrate our progress
Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health “barometer” meetings)
Ability to learn and develop from an experienced leadership team (ex-Amazon, McKinsey, BCG, and IBM, among others) who are focused on building a talented, diverse, and inclusive team
Dedication to building a strong culture (e.g., team resource groups, weekly recognitions, major life event celebrations, mental health/sustainability days off, etc.)
Additional Requirements:
Fluency in English is required for this position
Ability to partially overlap with US time zones required
Please note that we adjust compensation for non–US countries using a relative cost of labor adjustment between the US and your country of residence. Applicants should apply via OfferFit’s internal or external careers site.