Staff Software Engineer AI

ABOUT onX

Were a team of builders adventurers and risk takers using technology to help people confidently explore the outdoors. Driven by our mission to awaken the adventurer inside everyone we build products that optimize every outdoor experience and inspire confidence to get out and go further.

Were a high-growth tech company. The pace is fast the work takes grit and ambiguity is part of the job. As the world changes around us we adapt - continuously evolving how we build prioritize and deliver.

Our business moves quickly and theres real opportunity to shape what we build next. Each of our verticals - Hunt Offroad Backcountry and Fish - is at a different stage of maturity which means the challenges you encounter and the impact you have will vary depending on where you sit and what the business needs most.

We operate with an experimentation mindset continually iterating and improving how we solve problems. We expect our people to use the latest tooling including AI thoughtfully and responsibly pairing human judgment with technology to increase quality speed and impact.

Our impact comes to life through the products we build in the stories of our customers and in our growing commitment to land stewardship and recreational access.

ABOUT THIS OPPORTUNITY

onX is seeking a Staff Software Engineer who will contribute to meaningful real-world outcomes that have a lasting impact for customers and the this role youll focus on the design development and scaling of our core AI/ML platforms and product-facing services as part of the AI Foundations Team supporting the integration of cutting-edge artificial intelligence solutions across onXs product lines. Youll take ownership of your work collaborate closely with partners across the organization and help move initiatives forward in an environment where priorities evolve learning is celebrated and youre encouraged to keep stretching your skills. This role will report to the Director of Engineering.

WHAT YOULL DO
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• Work on the design development and deployment of large-scale AI systems and services including models pipelines product experiences and infrastructure.
• Help Drive the technical strategy and roadmap for AI feature development focusing on scalability repeatability reliability and performance.
• Mentor and guide other engineers in best practices and productionizing AI technologies.
• Collaborate with Product and Data Science teams to translate business problems into technical requirements and deliver high-impact AI solutions (combining LLMs Vector Databases ML and other technology in novel ways to serve onX unique audience).
• Look for opportunities to embed AI as a repeatable mechanism in daily workflows by integrating experimentation into real work and continuously refining its use with sound judgment and validation.
• Be a leader in AI safety ensuring AI-enabled products are aligned with our values and mission.
• Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work and continuously refining its use with sound judgment and validation.

WHAT YOULL BRING

• Bachelors degree in Computer Science Data Science or a related technical field or equivalent experience.
• 10 years of professional software engineering experience with at least 3 years focused on building and scaling production AI/ML systems is required.
• Expertise in building scalable backend systems.
• Deep knowledge of MLOps practices cloud infrastructure (AWS/GCP/Azure) and CI/CD pipelines for machine learning models and the common inference APIs/SDKs and frameworks.
• Experience with modern AI technologies including Large Language Models (LLMs) and their various architectures methods such as RAG vector databases and the common AI stack including TensorFlow/Keras PyTorch Transformers etc.
• A strong curiosity for exploring new technologies including AI
• A shared passion for and ability to demonstrate onXs Company Values.
• Permanent US work authorization is a condition of employment with onX.

ADDED BONUSES

Though not required we would be thrilled to consider candidates with any of the following:

• A history of engaging in AI development from the early ML/NN (YOLO Darknet) to the LLM era.
• Experience in monitoring and debugging production AI systems (inference evals judging benchmarks) including cost and performance optimizations.
• Interest or experience in edge/on-device inference (MLX JAX transformers on TPU/NPU etc.)
• Interest experience or experimentation in training/fine-tuning transformer/diffusion models dataset curation and captioning etc.

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly were not a scrappy start-up. We operate with clear goals structure and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift data shapes how we evolve as our business products and the world around us change.

Clear priorities and structure dont limit ownership - they make it possible. Youll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. Youll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way youll be supported with feedback tools and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection collaboration and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula MT and established virtual workforce Basecamps in Austin TX; Denver CO; Kalispell MT; Minneapolis MN; Portland OR; Salt Lake City UT; and Seattle WA.

HOW YOULL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. Applicants can expect to make between $169000 to $211000 upon hire. The pay range will vary based on experience skills certifications and education among other factors as required in the job addition full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WERE OFFERING YOU

• Competitive salaries annual bonuses equity and opportunities for growth
• Comprehensive health benefits including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual Get Out Get Active funds to fuel your active lifestyle
• Flexible time away package that includes PTO STO VTO and paid holidays

PERFORMANCE ESSENTIALS

In this role success is driven by cognitive abilities such as concentration and problem-solving essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation please contact us at .

Application Deadline isday of week month day at 0:00 pm MST

Position open until filled.

#LI-Remote

At onX we believe that unique perspectives make us stronger. By bringing together people with different experiences ideas and viewpoints we fuel innovation and move closer to our mission of awakening the adventurer in everyone. We are proud to be an equal opportunity employer and are committed to fairness not only in hiring but also in development compensation and promotion. Our goal is to build an inclusive community where every team member can show up authentically and thrive. Together we win as one team. Come join us!

onX Maps will never ask for credit card or SSN details during the initial application process. For your digital safety apply only through our legitimate website at directly via our LinkedIn page.

onX does not sell any Personal Information but we may transfer employment related records to our service providers or third parties that provide business services to onX or as required by law. For more information see our .

As part of our interview process your conversation may be recorded for documentation purposes to allow interviewers to focus fully on the discussion. Recordings are confidential and accessible only to authorized personnel. Please note onX respects all applicable laws regarding recording consent and you will have an opportunity to opt-out if preferred.