March 27, 2024
Americas
$150K - $210K USD

Machine Learning Engineer

About the job:

Full-time

Fi is rethinking the relationship between dogs and humans. We build products for your dog to live a longer, better life. We are full of experienced, passionate people that have built and shipped outstanding products for Nest, Square, Google and Uber who all care about their dogs. Together, we're bringing a digital revolution to the dog space.


Today's dog industry is a relic from the 80s. We are using technology to improve dogs' lives and make the 100 million dogs in the US live longer. Dogs' life expectancy hasn't improved in decades - we are here to change this. We are keeping dogs safe by allowing owners to keep track of their whereabouts. We are keeping dogs healthy by showing owners how much they should exercise and keep them accountable. We also monitor health patterns like sleep and overall balance of activity versus resting patterns.


The hardest part about being a dog owner is they can't tell you when something is wrong. Fi aims to change that; We're looking for people to join us who love a good challenge—and of course, dogs. We set the bar high at Fi. In our world, "impossible" means "let me find a way".


If you feel like you belong, keep reading!

Fi is looking for a Machine Learning Engineer!

  • At least 4 years working as a data scientist or machine learning engineer, developing machine learning models for deployment.
  • Adaptable and proactive, eager to work on a range of machine learning projects. Familiarity with geospatial data and deriving features from GPS location data a plus.
  • Familiarity with sensor data or other high frequency time series a plus.
  • Experience deploying models to a live production environment, Databricks a plus.
  • Experience developing machine learning solutions for user-facing product features, and working closely with product managers, engineers and designers to create and meet product requirements.
  • Advanced python including scikit-learn and numpy/scipy. Tensorflow or Pytorch a plus.
  • Data querying and wrangling using SQL or Spark.

Responsibilities

  • As a member of the burgeoning machine learning team at Fi, you will be responsible for developing machine learning models to power user-facing product features.
  • Work closely with the product team to define criteria for success and make sure we meet them.
  • Work with the data team to prepare and explore data derived from Fi’s collar sensors.
  • Draw on your experience in data science to develop feature extraction code capturing signal in data from a variety of sources, including GPS location data and activity indices.
  • Collaborate with our firmware engineers to implement this feature extraction on our hardware. 
  • Working within Databricks, you will develop and validate machine learning algorithms that provide meaningful alerts to our users about their dogs.
  • Work with our backend engineers to seamlessly integrate your algorithms into the existing product. You will be responsible for maintaining these algorithms, and monitoring their performance. Where necessary, you will collaborate with product to iterate and improve them.

The anticipated base salary for this position is $150,000 - $210,000 . The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held. This position is also eligible for equity compensation.

Fi is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.


This policy applies to all employment practices within our organization, including hiring, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Fi makes hiring decisions based solely on qualifications, merit, and our needs at the time.


#LI-Remote

Region
Americas
Compensation
$150K - $210K USD/Year
Category
Data & AI
Applicants
16

Company Benefits

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