Primer
Staff Machine Learning Research Scientist
Primer, San Francisco, California, United States, 94199
Primer exists to make the world a safer place. We do this by providing trusted decision-ready AI to the world's most critical organizations. Our software enables leaders, operators, and analysts to better understand the changing world around us in real time and make informed decisions when the stakes are high. Primer has offices in San Francisco, Pasadena, CA and Arlington, VA. For more information, please visit https://primer.ai/
As a
Staff Machine Learning Research Scientist
you will work on some of the deepest problems in machine learning. You will publish papers, attend conferences, and file patents. But you will also ship code right into the products used everyday. We call it applied research, and you will be one of the leaders, taking part in a thriving team of engineers whose backgrounds span computer science to particle physics. You will be constantly learning and mentoring, keeping Primer at the leading edge of the most important technology today.
Roles and Responsibilities - How You Will Make an Impact
Track and understand the machine learning research landscapeHelp us make the strategic technology investments that ensure Primer's ability leadership in the spaceDesign, lead, and review experimental workCollaborate and influence cross-functional teams to drive our technology roadmapLead and mentor data scientists to help them growImprove and promote best practices across the company and motivate others to follow your high standardRelevant Skills and Experience
Graduate degree in computer science or related field5+ years in machine learning with a focus on machine learning researchDemonstrated track record of publications and/or open source projectsHands-on experience with machine learning and NLP tools and libraries from Numpy to PyTorchCuriosity, enthusiasm, and a love for teaching and learning
This role will consider applicants out of San Francisco, CA or Washington, DC
The annual cash compensation range for this position is US$180,000 to US$250,000. Final compensation will be determined based on experience and skills and may vary from the range listed above.
Primer works closely with the U.S. defense and intelligence establishment. Any offer of employment is conditioned on an applicant or employee being able to meet any applicable government contract requirements. The company may rescind any offer of employment to an applicant or terminate an employee if the applicant or employee is unable to perform the functions of the position in compliance with applicable government contracts or if an applicant or employee makes a false attestation of compliance.
What We Offer
We are a series D funded company with investors from Addition, USIT, Lux Capital, Amplify Partners, Addition Capital, Bloomberg Beta, and others. We are intentional around building a diverse and inclusive team of subject matter experts to better advocate for the needs of our users.
We care a lot about our work and about the well being of our team. We encourage everyone to work at a sustainable pace and have a flexible vacation policy for team members to utilize, Wellness Days and 100% paid leave for parents of growing families.
We offer competitive compensation and comprehensive benefits. This includes full medical, dental, and vision coverage, fertility benefits through Carrot, mental health coverage on demand with Headspace Care+, Gympass+ Membership via Wellhub, One Medical Membership, 401(k), remote work stipends, and monthly internet allowance.
Primer is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
If you need assistance or accommodation due to a disability, you may contact us at info@primer.com.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
As a
Staff Machine Learning Research Scientist
you will work on some of the deepest problems in machine learning. You will publish papers, attend conferences, and file patents. But you will also ship code right into the products used everyday. We call it applied research, and you will be one of the leaders, taking part in a thriving team of engineers whose backgrounds span computer science to particle physics. You will be constantly learning and mentoring, keeping Primer at the leading edge of the most important technology today.
Roles and Responsibilities - How You Will Make an Impact
Track and understand the machine learning research landscapeHelp us make the strategic technology investments that ensure Primer's ability leadership in the spaceDesign, lead, and review experimental workCollaborate and influence cross-functional teams to drive our technology roadmapLead and mentor data scientists to help them growImprove and promote best practices across the company and motivate others to follow your high standardRelevant Skills and Experience
Graduate degree in computer science or related field5+ years in machine learning with a focus on machine learning researchDemonstrated track record of publications and/or open source projectsHands-on experience with machine learning and NLP tools and libraries from Numpy to PyTorchCuriosity, enthusiasm, and a love for teaching and learning
This role will consider applicants out of San Francisco, CA or Washington, DC
The annual cash compensation range for this position is US$180,000 to US$250,000. Final compensation will be determined based on experience and skills and may vary from the range listed above.
Primer works closely with the U.S. defense and intelligence establishment. Any offer of employment is conditioned on an applicant or employee being able to meet any applicable government contract requirements. The company may rescind any offer of employment to an applicant or terminate an employee if the applicant or employee is unable to perform the functions of the position in compliance with applicable government contracts or if an applicant or employee makes a false attestation of compliance.
What We Offer
We are a series D funded company with investors from Addition, USIT, Lux Capital, Amplify Partners, Addition Capital, Bloomberg Beta, and others. We are intentional around building a diverse and inclusive team of subject matter experts to better advocate for the needs of our users.
We care a lot about our work and about the well being of our team. We encourage everyone to work at a sustainable pace and have a flexible vacation policy for team members to utilize, Wellness Days and 100% paid leave for parents of growing families.
We offer competitive compensation and comprehensive benefits. This includes full medical, dental, and vision coverage, fertility benefits through Carrot, mental health coverage on demand with Headspace Care+, Gympass+ Membership via Wellhub, One Medical Membership, 401(k), remote work stipends, and monthly internet allowance.
Primer is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
If you need assistance or accommodation due to a disability, you may contact us at info@primer.com.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.