Sr. Machine Learning Engineer - Alternatives Data Management - Remote, USA

Who We Are

Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have trusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 40 countries, Addepar’s platform aggregates portfolio, market and client data for over $5 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Dublin, Edinburgh, Scotland and Pune, India.

*Marketplace and brokerage services provided by Acervus Securities, Inc., an SEC registered broker‑dealer and member FINRA / SIPC.

The Role

Did you know? Alternative investing has the potential to generate higher returns compared to traditional investments over the long term. AI and Machine Learning are revolutionizing the way alternative investments are managed and analyzed. Investors are using these technologies to gain insights, see opportunities, and optimize their investment strategies.

Addepar is building solutions to support our clients' alternatives investment strategies. We’re using AI to automate and streamline ingestion and analysis of alternatives investment data. We are currently seeking a Machine Learning Engineer to join our Alternatives Data Management team. In this role, you will have the opportunity to apply the newest technology stacks to build and improve proprietary trained models that transform unstructured information into accurate financial data. If you've designed complex scalable systems, or worked with great teams on hard problems in financial data, or are just interested in solving really hard technical problems, come join us!

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.

The current range for this role is $125,000 - $195,000 + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

What You’ll Do

• Design, build and train supervised and unsupervised machine learning models.
• Design and evolve machine learning pipeline for applications across the stack.
• Optimize machine learning and relevant data processing code for scale and robustness
• Document software functionality, system design, and project plans; this includes clean, readable code with comments.

Who You Are

• Proficiency with machine learning methodologies.
• Good knowledge of hosted and open source ML services like AWS SageMaker, Google Cloud ML, TensorFlow, Pytorch or others
• Experience with methods and tools (Textract, ABBYY) for extracting relationships, structure and text from documents and/or general natural language processing skills
• Proficiency in Python, R or other programming languages
• Experience working with Relational or NoSQL database storage
• Ability to communicate with all levels of collaborators on a technical level.
• A strong ownership mentality and aim to take on the most ambitious problems.
• AWS experience is a plus.
• B.S., M.S., or Ph.D. in Computer Science or similar technical field of study (or equivalent practical experience.).

Our Values 

• Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
• Build Together - Collaborate to unlock the best solutions. Deliver lasting value. 
• Champion Our Clients - Exceed client expectations. Our clients’ success is our success. 
• Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. 
• Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. 

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

To ensure the health and safety of all Addepeeps and our prospective candidates, we have instituted a virtual interview and onboarding experience.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to TAinfo@addepar.com.