Offer summary

Qualifications:

4+ years of experience in machine learning engineering, In-depth knowledge of machine learning frameworks like TensorFlow and PyTorch, Proficiency in cloud computing platforms such as AWS, Azure, or GCP, Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field..

Key responsibilities:

Design and implement sophisticated machine learning algorithms and models

Collaborate with engineering teams, data scientists, and product managers to align initiatives with business goals

Ensure model robustness and performance through rigorous testing and code reviews

Stay updated with emerging technologies and contribute to process improvements.

Job description

About Crunchbase

Crunchbase is a predictive solution that provides intelligence on private companies, powered by the unique combination of live private company data, AI, and market activity from over 80 million users. We predict private market movements that matter to help investors, dealmakers, and analysts make the right decisions.

We are committed to fostering a positive, diverse, and inclusive culture by hiring for potential and embracing individuals with diverse perspectives, backgrounds, experiences, and skill sets. We value transparency and openness, believing that an inclusive environment strengthens our teams and enhances our products.

Crunchbase has a remote-first approach, and is open to hiring in residents of these states: California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, and Washington

Our inclusive remote-first culture, generous PTO policies, competitive pay, and employee wellness benefits set us apart!

Machine Learning at Crunchbase

As a Senior Machine Learning Engineer, you will be at the forefront of driving our technology into the future. You will work closely with cross-functional teams to solve challenging problems and make significant contributions to our product’s advancement. Your primary responsibility will be to develop and optimize our machine learning infrastructure, ensuring it is advanced, scalable, and secure.

What You'll Do:

Machine Learning Development: Design and implement sophisticated machine learning algorithms and models to support the company's objectives in various domains.
Technical Skills: Develop and optimize advanced machine learning algorithms and models, leveraging deep technical expertise to ensure high performance, accuracy, and scalability.
Collaboration: Work closely with other engineering teams, data scientists, product managers, and stakeholders to ensure alignment of machine learning initiatives with business goals.
Problem-Solving: Tackle challenging technical problems, focusing on innovation and efficiency in solutions.
Quality Assurance: Ensure the highest standards of model robustness, performance, and security through rigorous testing and code reviews.
Innovation: Stay updated with emerging technologies and trends in the machine learning and AI space to incorporate cutting-edge solutions.
Process Improvement: Contribute to the refinement of machine learning development processes, incorporating best practices for scalability and efficiency.
Performs other related duties as assigned.

Supervisory Responsibilities:
None.

What We're Looking For:

4+ years of experience in a machine learning engineering role
In-depth knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and Python programming languages.
Proficiency in cloud computing platforms (AWS, Azure, GCP) for ML deployment.
Experience with big data technologies.
Strong background in developing end-to-end machine learning solutions in a production environment.
Excellent problem-solving skills and a keen eye for detail.
Demonstrated leadership skills with the ability to guide and teams.
Strong communication skills, both verbal and written.
Proven ability to learn on the job and adjust in an ever changing domain
A Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field.

Physical Requirements:
Prolonged periods of sitting at a desk and working on a computer.

You may also be entitled to receive equity and benefits.

Salary Range

$175,000—$195,000 USD

What Crunchbase Offers:

Competitive salary and equity in the form of stock options
Remote first policy
Generous Reimbursement policy for learning and development activities
Monthly Wellness stipend
14 weeks of fully-paid time off for various life situations (like welcoming a new born or caring for family)
Flexible Paid Time Off (PTO)
22 Holidays in 2025
Volunteering Paid Time Off
Incredible medical, vision and dental benefits for employees and their families (including PPO, HDHP, and INO plans)
401(k) and Roth plans, and free annual financial adviser check-in
Monthly internet stipend
Work from home allowance to purchase furniture for your work from home space
Matching charity contributions for our Townhall awards
A team of creative, transparent entrepreneurs driven to accomplish our mission

At Crunchbase, we value team members who are passionate and enthusiastic about what we're building here. We believe there is no "perfect" candidate, and want to encourage applying even if all the requirements listed aren’t met. If you're passionate about Crunchbase and looking to learn and grow, then we look forward to reviewing your application!

Crunchbase does not discriminate on the basis of race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender expression, age, height, weight, veteran status, military obligations, or marital status. We will consider for employment qualified applicants with arrest and conviction records. Every day our team is honored to work with entrepreneurs and innovators from every corner of the globe, and we aim to build a team that reflects the diversity of our customers. Each individual at Crunchbase brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides a better service to its customers, and helps us all grow and learn as individuals.

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