- Customer Obsessed – We always put our customers first.
- Solution Driven – We solve problems that other people are afraid to.
- People leaders – We grow all of our people into leaders.
- One Team – We believe inclusion and teamwork produce the best results.
- Direct with Respect – We communicate with honesty and respect to our colleagues, customers, and partners.
- You have 7+ years of relevant industry experience, including writing production code and deploying machine learning models
- You have 2+ years of experience as a people manager
- You are comfortable wearing multiple hats, such as hands-on coding, project leadership, or interfacing with executives and external partners
- You have expertise in Python, SQL, Docker, etc.
- You understand fundamental data science concepts, and have experience with common tooling and packages used for machine learning
- You have strong fundamental knowledge of core programming concepts, including object-oriented programming, unit testing, etc.
- You've built credit risk, fraud, insurance models or algorithms and worked with engineering teams to deploy them.
- Experience in one of the following domains is a huge plus: title, risk, or insurance
- You will lead a small team of talented machine learning engineers and data analysts, and will inspire this team to perform their best
- You will improve existing machine learning models and develop new ones
- You will be a hands-on leader, writing production code and monitoring models via dashboards and analytics
- You will work cross-functionally within the company, interfacing with multiple technical teams, as well as with product and operations teams
- You will serve as a go-to expert in risk & forecasting for our team and the company. This includes reducing model losses, improving the fidelity of our projected losses, fighting fraud, and identifying new risks in our domain
- You will inspire confidence in non-ML stakeholders and regulators
- 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
-
Machine Learning Engineer
Found in: Appcast US C2 - 1 day ago
Acceler8 Talent San Francisco, United StatesSenior ML Engineer Position – San Francisco (Hybrid/Flexible) · Introduction: · We are seeking a talented Senior ML Engineer to join our team and lead pioneering projects in data-centric AI. This role offers the chance to develop cutting-edge tools that diagnose and correct datas ...
-
machine learning engineer
Found in: One Red Cent US C2 - 4 days ago
Rain Neuromorphics Inc. San Francisco, United StatesMACHINE LEARNING ENGINEER · Company: Rain Neuromorphics Inc. · Location: San Francisco, CA · Position Type: Full Time · Experience: See below for details · Education: See below for details · Machine Learning Engineer (San Francisco, CA) - Dvlop, implmt & deploy state-of-the-art o ...
-
Deep Learning Engineer
Found in: Lensa US 4 C2 - 12 hours ago
Dnnae San Francisco, United StatesWe are looking for a Deep Learning-Speech Engineer who will partner with both the business and technical teams to innovate and deliver new AI features and enhancements (particularly focused around audio) for our product. You will create and/or modify complex solutions that meet t ...
-
Machine Learning Engineer
Found in: ZipRecruiter Test10S US C2 - 2 days ago
Haystack News San Francisco, United StatesJob Description · Job DescriptionHaystack News, the number one destination for news on streaming platforms, is looking for a Machine Learning engineer to join our team. Today Haystack is trusted by over 25 million viewers and is among the fastest-growing TV news companies in the ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 1 day ago
Tempo San Francisco, CA, United States[Full Time] Machine Learning Engineer at Tempo (United States) | BEAMSTART Jobs · Machine Learning Engineer · Tempo United States · Date Posted · 26 Jun, 2022 · Work Location · San Francisco, United States · Salary Offered · $100000 — $200000 yearly · Job Type · Full Ti ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 1 day ago
Karkidi San Francisco, CA, United StatesTBD's Risk and Trust team is on the mission to build world-class risk and trust management services to enable a truly open and decentralized financial ecosystem. We are looking for a skilled Machine Learning Engineer to help create and maintain our model development infrastructur ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 4 days ago
NLP PEOPLE San Francisco, United StatesAbout · At Truva, we're pioneering the future of SaaS technologies by harnessing the capabilities of Large Language Models (LLMs) to automate tasks, enhance workflows, and deliver unmatched efficiency. Founded by Gaurav, a two-time founder and Stanford alumnus, and Anuja, an MB ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 1 day ago
Equilibrium Energy San Francisco, United StatesAbout Our Company · Equilibrium Energy is a well-funded, Series A clean energy startup backed by some of the most prominent institutional investors in climate. We are building a digital native power company operating at the intersection of grid variability, market volatility, ec ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 1 day ago
Text Blaze San Francisco, CA, United States[Full Time] Machine Learning Engineer - Large Language Models at Text Blaze (United States) | BEAMSTART Jobs · Machine Learning Engineer - Large Language Models · Text Blaze United States · Date Posted · 28 Apr, 2023 · Work Location · San Francisco, United States · Salary ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 3 days ago
Genentech San Francisco, United StatesThe Position The PositionA healthier future. Its what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. Thats w ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 1 day ago
Courteasy San Francisco, CA, United StatesCourt Easy AI is seeking a talented and forward-thinking Machine Learning Engineer to join our team. Regardless of your background, if you possess exceptional ML engineering skills, experience in high-stakes ML domains, and a drive to tackle challenging problems, we want you to b ...
-
Deep Learning Engineer
Found in: Lensa US 4 C2 - 3 days ago
Focal Systems, Inc. San Francisco, United StatesRole: Deep Learning Engineer · Location: Fully remote in North America · Type: Full-time/Perm · Rate: $120-200k total annual compensation, which includes the value of stock options · Who We Are · Focal Systems is the industry leader in retail AI solutions. We are a Silicon V ...
-
Machine Learning Engineer
Found in: Jooble US O C2 - 1 day ago
Sapling San Francisco, CA, United StatesFull Time] Machine Learning Engineer at (United States) | BEAMSTART Jobs Machine Learning Engineer · Full Time · Remote Work · Stock Options · ML/NLP/deep learning expertise. Strong engineering background with end-to-end ownership of projects. · Build components of the data ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 3 days ago
Writesonic San Francisco, CA, United States[Full Time] Machine Learning Engineer (NLP) at Writesonic (United States) | BEAMSTART Jobs · Machine Learning Engineer (NLP) · Writesonic United States · Date Posted · 25 Jun, 2022 · Work Location · San Francisco, United States · Salary Offered · Not Specified · Job Type ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 1 day ago
Soteris San Francisco, United States[Full Time] Machine Learning Engineer at Soteris (United States) | BEAMSTART Jobs · Machine Learning Engineer · Soteris United States · Date Posted · 06 Dec, 2022 · Work Location · San Francisco, United States · Salary Offered · $150000 — $210000 yearly · Job Type · Full Time · ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 1 day ago
Cascading AI San Francisco, CA, United StatesCasca is on a path to deploy enterprise AI agents at scale to automate complex tasks in the modern banking system. As an ML Engineer, you will see your work repeatedly shipped to automate 1000s of real world conversations, helping small businesses get funding. · What you'll do: ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 3 days ago
Money Fit by DRS San Francisco, CA, United StatesAt Ello, our mission is to maximize the potential of all children. Our first product (Read with Ello) is an AI reading teacher that listens to a child read from real books. We're now building on the success of Read with Ello and putting together the pieces of the world's first co ...
-
Machine Learning Engineer
Found in: Appcast US C2 - 18 hours ago
Skale San Francisco, United StatesAn exciting, VC-backed startup is looking for an ML Research Engineer in San Francisco. This role is onsite daily in the financial district. · You'll work with the founding team and design, train and productionize a range of ML models. The product is an AI platform aimed at inst ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 16 hours ago
Acceler8 Talent San Francisco, United StatesSenior ML Engineer Position – San Francisco (Hybrid/Flexible) · If you are interested in applying for this job, please make sure you meet the following requirements as listed below. · Introduction: · We are seeking a talented Senior ML Engineer to join our team and lead pionee ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 1 day ago
TrendUp San Francisco, CA, United States[Full Time] Machine Learning Engineer at TrendUp (United States) | BEAMSTART Jobs · Machine Learning Engineer · TrendUp United States · Date Posted · 11 Jul, 2023 · Work Location · San Francisco, United States · Salary Offered · $90000 — $150000 yearly · Job Type · Full ...
Director, Machine Learning Engineering - San Francisco, CA, United States - Penn Foster
Description
If you're good at what you do, you can work anywhere. If you're the best at what you do, come work for Doma.
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
We're hiring a hands-on Director to lead our team
We're seeking an outstanding Director of Data Science (or Machine Learning) to take the lead on improving and expanding our core, patented, industry-shaking underwriting systems. The ideal candidate is someone who is excited about dividing their time as follows: code development/review (50%), strategic and customer-facing planning with the executive team (25%), and management of a small team of data scientists and analysts (25%).
As a Data Science leader at Doma, you'll take part in a fun and respectful corporate atmosphere. You'll interact frequently with an accomplished executive team and other high performing teams throughout the organization. Much more than a model builder, you'll talk directly with VP+ customers and stakeholders, vet and negotiate deals with vendors, recommend strategies to change the direction of the company, and discuss data stewardship and model governance with deep legal minds in the public and private sectors, including regulators.
Your Qualifications:
Responsibilities:
Shown below is the lowest to highest base salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the base salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. At Doma, compensation decisions are dependent on the facts and circumstances of each case.
This job is also eligible for the following compensation components: Bonus & Equity
The base salary range for this role is shown below:
$165,200—$295,500 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:
We believe in Equal Opportunity
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.
#J-18808-Ljbffr