Machine Learning Engineer
Machine Learning Engineer
This job is no longer open
Welcome to Fi.
We’re a passionate team from Square, Google, Peloton, Uber, and more working to transform the dog-human relationship. Our mission? Develop cutting-edge technology to revolutionize what it means to be a dog parent.
The dog industry remains firmly stuck in the past and we are here to change that. Fi is leveraging our team's talent and expertise to improve the lives of the millions of dogs in the U.S. Real-time location tracking, activity, sleep and behavior monitoring – and that's just the beginning.
The most exciting aspect of our work? Bridging the communication gap between dogs and humans. Imagine a world where everyone knows how their dog feels in real time and how to keep their best friend in good shape. That's the future we're building at Fi.
If you're someone who thrives in innovative, collaborative work environments and feels strongly about helping dogs live longer, better lives, Fi could be the perfect fit. Join us in our pursuit of the “impossible,” or as we call it here “let me find a way,” to redefine the future of dog ownership together.
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.
$150,000 - $210,000 a year
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
This job is no longer open