Senior Data Scientist Ml And Algorithms at Alltrails

Senior Data Scientist, ML and Algorithms

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 40 million people worldwide.
 
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! 


What You’ll Be Doing:

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 infrastructure and proactively driving best-in-class solutions
Presenting work to a large variety of stakeholders



Requirements:

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 least one of the following areas: vector embeddings, deep learning, natural language processing, computer vision, generative AI (e.g. LLMs, transformers), personalization, route optimization, 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 designing 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 



Bonus Points:

Querying and manipulating data on the scale of TBs+
Experience with transformation tools like dbt or Dataform
Experience with best practices in ML ops and software development lifecycles



What We Offer:

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 off 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.



$160,000 - $180,000 a year
A successful candidate’s starting salary will be determined based on various factors such as skills, experience, training and credentials, as well as other business purposes or needs.  It is not typical for a candidate to be hired at or near the top of the range of their role and compensation decisions are dependent on the factors and circumstances of each case. 

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.