11 Staff Machine Learning Engineer Jobs in Phoenix, AZ
DOMA is Hiring a Staff Machine Learning Engineer Near Phoenix, AZ
Want to infuse a $34B sector of the insurance and real estate industry with predictive analytics and a tech-forward customer experience? Join Doma and send an entirely new type of real estate model into the world.
About Us Doma offers solutions for lenders, real estate professionals, title agents, and homeowners that make closings vastly simpler and more efficient, reducing cost and increasing customer satisfaction.
Our Values
- People First - We communicate with honesty and respect to our customers, colleagues, and partners.
- Better Together - We believe diversity, equity and inclusion creates value through the differences in our backgrounds, experiences, and perspectives.
- Solution Driven - We encourage calculated risk-taking, and we know that some of our best learning happens by making mistakes along the way.
- Act with Integrity - We hold ourselves to the highest ethical standards in all of our business practices.
- We build machine learning models end-to-end. You will take full ownership of one of our core revenue-generating risk and underwriting models. This will involve any and all of the following workstreams:
- Data collection
- Data pipelines
- Retraining and optimization
- Evaluation
- Inference and serving
- Monitoring and quality assurance
- Other related dev tooling and infrastructure work
- You will conduct ad-hoc analyses, tests and retrospectives on questions related to our models, for delivery to internal stakeholders and external partners/clients
- You will serve as a go-to expert in title risk and underwriting for our team and the company. This includes exploring ways to reduce model losses, improve the fidelity of our projected losses, and identify new risks in our domain
- You will deliver new data science products targeting unexplored areas of the title and escrow workflow, from their inception to their deployment as machine learning models
- 5 years of professional experience in data science or machine learning engineering
- Strong background in statistics, computer science, machine learning, operations research, or mathematics
- Experience developing and deploying models end to end in a production environment, with proficiency in Python, SQL, Git, Docker
- Experience with object-oriented programming and software engineering practices, such as version control, unit and integration testing, CI/CD and API development
- Enthusiasm about taking ownership of complex projects, including managing the requests coming from multiple stakeholders throughout the company
- Ability to manage stakeholders and communicate technical concepts to people throughout the company, including business partners in product and senior leadership.
- Experience in the domains of risk, credit, or insurance
- PyTorch, Transformers, LLMs (GPT, Claude, Gemini, Llama, Mistral, etc)
- Airflow, Kubernetes and MLOps
- Business intelligence tools such as Looker
- Cloud platforms such as Azure, AWS, etc
This job is also eligible for the following compensation components: Bonus
The base salary range for this role is shown below:
$132,100—$236,300 USD
How we’ll value you and make your life a bit easier:
We offer a comprehensive package of benefits to eligible employees: medical/dental/vision insurance, 401(k), generous vacation time, and paid bonding leave.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
We believe the most valuable investment we can make is to build an outstanding team of colleagues and leaders who are passionate about our mission.
We currently offer the following benefits to all Full-Time employees:
- Work/Life Balance - We encourage taking Paid Time Off (PTO)!
- 12 Weeks of Paid Family Bonding Leave (Maternity and Paternity)
- Incredible medical, dental, and vision benefits options to allow you to customize to you and your family’s needs that all start on your first day of employment
- Flexible Spending Account (FSA) & Health Savings Account (HSA)
- 401K with company match program
- Tuition Reimbursement
- Short-Term & Long-Term Disability
- Commuter Flexible Spending Account (i.e. Transit or Parking)
- Supplemental Life and AD&D Insurance
- Auto & Home Insurance Group Life Insurance
- Critical Illness, Injury and Hospital Insurance
- Pet Insurance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Job Summary
Full Time
$106k-135k (estimate)
06/12/2024
07/05/2024
doma.com
SAN FRANCISCO, CA
100 - 200
2016
Public
PERLA ESPINOZA
$10M - $50M
Related Companies
The job skills required for Staff Machine Learning Engineer include Machine Learning, Computer Science, Data Science, AWS, Software Engineering, API, etc. Having related job skills and expertise will give you an advantage when applying to be a Staff Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Staff Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Staff Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Staff Machine Learning Engineer, it can be promoted into senior positions as a Principal AI Engineer that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Staff Machine Learning Engineer. You can explore the career advancement for a Staff Machine Learning Engineer below and select your interested title to get hiring information.
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