Sr. Software Development Engineer, Machine Learning Operations

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & AnalyticsIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Information Systems, Machine Learning, or a related field, and have at least 5 years of experience in hands-on development of Machine Learning algorithms. They should also have 5+ years of experience in deploying Machine Learning services and 5+ years of experience supporting the entire Machine Learning Development Life Cycle (MLDLC), including post-deployment operations. Furthermore, candidates are expected to have 5+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP) and familiarity with tools such as PyTorch, Tensorflow, LangChain, scikit-learn, Redis, and Elast.

Responsibilities

As a Senior Software Development Engineer, Machine Learning (ML) Operations, the individual will serve as a force multiplier for development teams by creating golden paths, collaborating with engineers and stakeholders in an Agile environment, providing mentorship and technical guidance, designing and delivering projects end-to-end, supporting teams building and deploying AI applications, evaluating frameworks and tools to optimize processes and costs, and contributing to strategic planning. They will also participate in various company initiatives and projects as requested, and support the vision and values of the company through role modeling and encouraging desired behaviors.

Skills

Machine Learning

ML Operations

Tools for ML teams

Software Development

Collaboration

Problem Solving

Customer Empathy

PitchBook

Provider of private market data insights

About PitchBook

PitchBook provides detailed information and insights on private market data, focusing on venture capital, private equity, and mergers and acquisitions (M&A). Its main product is the PitchBook Platform, which consists of various software applications that allow users to access a vast database of information about companies, deals, investors, and funds. This platform is subscription-based, meaning clients pay for different levels of access based on their needs. PitchBook stands out from competitors by offering comprehensive data that is essential for investment professionals, business executives, and advisors, particularly in Europe and North America. The company's goal is to empower its clients to make informed investment decisions and stay updated on market trends.

Seattle, WashingtonHeadquarters

2007Year Founded

$13.4MTotal Funding

ACQUISITIONCompany Stage

Quantitative Finance, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Flexible work program

Generous PTO

Paid sick days

Company-wide days off

Learning & development opportunities

401k & company matching

Medical, dental and vision insurance

HSA+FSA Accounts

Paid parental leave

Transportation stipend

Team building & company-wide events

Risks

Leadership transition risk as founder John Gabbert steps down from CEO role.

Increased competition from platforms like Intapp's DealCloud challenges PitchBook's market position.

Potential over-reliance on the North American market exposes PitchBook to regional downturns.

Differentiation

PitchBook offers comprehensive data on venture capital, private equity, and M&A.

The PitchBook Platform provides award-winning software applications for unparalleled data insights.

PitchBook serves a diverse clientele, including investment professionals and business executives.

Upsides

Increased demand for ESG data presents a new expansion opportunity for PitchBook.

The rise of SPACs creates a market for SPAC-related insights on PitchBook's platform.

Growing interest in secondary market transactions could expand PitchBook's database offerings.

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