About AllTrails
AllTrails is the most trusted and used outdoors platform in the world. We help people explore the outdoors with hand-curated trail maps along with photos, reviews, and user recordings crowdsourced from our community of millions of registered hikers, mountain bikers, and trail runners in 150 countries. AllTrails is frequently ranked as a top-5 Health and Fitness app and has been downloaded by over 50 million people worldwide. AllTrails was selected as Apple's App of the Year in 2023!
Every day, we solve incredibly hard problems so that we can get more people outside having healthy, authentic experiences and a deeper appreciation of the outdoors. Join us!
- Designing and implementing algorithms that power everything from the way we optimize our content to the way we personalize experiences
- Designing machine learning models that will be pushed into production systems, at-scale
- Identifying unique ways in which data can be transformed into solutions that directly drive revenue for the organization
- Partnering with teammates and product managers to develop robust solutions to highly specific technical challenges
- Identifying technical and strategic gaps in our data science and ML Ops infrastructure and proactively driving best-in-class solutions
- Presenting work to a large variety of stakeholders
- 5+ years of work experience in data science
- B.S. or M.S. degree in data science, machine learning, artificial intelligence, mathematics, or equivalent practical experience
- Proficiency with both Python and SQL
- An understanding of both simple and complex machine learning and artificial intelligence concepts (e.g. clustering, regression, classification, deep learning, transformers, diffusion)
- Professional experience working in at least one of the following areas: generative AI (e.g. LLMs, RAG), vector embeddings, personalization, route optimization, knowledge graphs, geospatial trajectories (GPS / GIS)
- Experience with the end-to-end machine learning lifecycle (data cleaning, feature extraction, training/testing, model evaluation, optimization, deployment, etc.)
- Experience in collaborating with engineers in deploying models that scale to production-level request volumes
- Experience working collaboratively on shared codebases using Git
- Experience in iterative exploratory notebook development (Jupyter, Hex, etc.)
- Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
- Regularly enjoys reading highly technical research papers and translating learnings into effective prototypes
- Strong attention to detail, analytical, and a problem solver with a keen insight for asking the right questions and building solutions to drive direct business value
- Expert communication skills, including the ability to persuade and inspire, a knack for breaking down complex concepts, and a proactive attitude towards knowledge sharing and documentation
- Querying and manipulating data on the scale of TBs+
- Experience with Google BigQuery and model development using Vertex AI
- Experience with transformation tools like dbt or Dataform
- Experience with best practices in ML ops and software development lifecycles
- A competitive and equitable compensation plan. This is a full-time, salaried position that includes equity.
- Physical & mental well-being including health, dental and vision benefits
- Trail Days: First Friday of each month to hit the trails!
- Unlimited PTO
- Flexible parental leave
- Annual continuing education stipend
- Discounts on subscriptions and merchandise for you and your friends & family
- An authentic investment in you as a human being and your career as a professional
Nature celebrates you just the way you are and so do we! At AllTrails we’re passionate about nurturing an inclusive workplace that values diversity. It’s no secret that companies that are diverse in background, age, gender identity, race, sexual orientation, physical or mental ability, ethnicity, and perspective are proven to be more successful. We’re focused on creating an environment where everyone can do their best work and thrive.
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