Machine Learning Engineer - Systems Job at Second Renaissance in San Diego
Second Renaissance, San Diego, CA, United States
Mission
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.
Value
Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
Diversity at Altos
We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.
What You Will Contribute to Altos
Altos Labs is seeking a Machine Learning Engineer I/II who can accelerate and optimize our progress in developing foundation models for biology. This role is integral to our Computational Systems Modeling & Scaling team, working in a team of experienced ML and infrastructure engineers to deliver compelling internal frameworks, services, and expertise, and to train and deploy scalable, robust models. It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence.
Responsibilities
Training, evaluating, and optimizing large‑scale machine learning systems including data transformation pipelines, feature stores, distributed training, architecture optimization, model management & serving, etc.
Building, deploying, and managing systems to accelerate large-scale machine learning workflows in an integrated, usable framework
Understanding user needs across a wide range of scientific disciplines, and communicating with users to build systems that they can use productively
Developing reliable, scalable, performant systems in a cloud environment
Employing maintainable, scalable, and reusable software engineering techniques
Demonstrating best practices around development tools, CI/CD, and other methods to improve code quality and efficiency.
Who You Are
Minimum Qualifications
M.S. or Ph.D. in Computer Science, or related quantitative field, or equivalent technical experience
Candidates should have 1–4 years of relevant industry and/or academic experience
Experience with large-scale machine learning tools and infrastructure
Experience applying software engineering practices in a scientific environment, collaborating with cross‑functional teams
Strong written and verbal communication skills
Preferred Qualifications
Familiarity with biological data formats, concepts, and computational models is a plus.
Salary Range: San Francisco Bay Area, CA
Machine Learning Engineer I: $153,000 - $207,000
Machine Learning Engineer II: $178,500 - $241,500
Salary Range: San Diego, CA
Machine Learning Engineer I: $150,450 - $203,550
Machine Learning Engineer II: $170,000 - $230,000
Exact compensation may vary based on skills, experience, and location.
For UK Applicants
Please click here to read the Altos Labs EU and UK Applicant Privacy Notice. This Privacy Notice is not a contract, express or implied, and it does not set terms or conditions of employment.
What We Want You To Know
We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation.
Equal Employment Opportunity
Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
COVID‑19 Vaccination
Altos currently requires all employees to be fully vaccinated against COVID‑19, subject to legally required exemptions (e.g., due to a medical condition or sincerely‑held religious belief).
Thank You
Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.
Note about Job Scam
Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/ .
#J-18808-Ljbffr
In Summary: Altos Labs is seeking a Machine Learning Engineer I/II who can accelerate and optimize progress in developing foundation models for biology . This role is integral to our Computational Systems Modeling & Scaling team . Altos aims for a culture of scientific excellence, learning, and belonging to inspire innovation .
En Español: Misión Nuestra misión es restaurar la salud y resiliencia celular a través del rejuvenecimiento de células para revertir las enfermedades, lesiones y discapacidades que pueden ocurrir durante toda la vida. Valorar nuestro único valor Altos: Todos poseen logrando nuestra misión inspiradora. Diversidad en Altos Creemos que diversas perspectivas son fundamentales para la innovación científica e investigación. En Altos, científicos excepcionales y líderes de la industria de todo el mundo trabajan juntos para avanzar en una misión compartida. Implicará una estrecha colaboración con científicos computacionales de diversas disciplinas, incluidos el modelado molecular, la biología computacional, la simulación discreta, el aprendizaje automático e inteligencia artificial. Responsabilidades Entrenamiento, evaluación y optimización de sistemas de machine learning a gran escala incluyendo tuberías de transformación de datos, almacenes de características, capacitación distribuida, optimización arquitectónica, gestión y servicio de modelos, etc. Construir, implementar y gestionar sistemas para acelerar los flujos de trabajo de aprendizaje de máquina en gran escala en un marco integrado y utilizable Comprender las necesidades del usuario en una amplia gama de disciplinas científicas, y comunicarse con los usuarios para construir sistemas que puedan utilizarse de manera fiable Desarrollar sistemas eficientes, escalables y productivos en un entorno de nube Empleando técnicas reutilizables, escaltables y reutilizables de software Demostrando mejores herramientas de desarrollo, CD/CD y otros métodos para mejorar la calidad del código y la eficacia de ingeniería. En Ciencias de la Computación o en un campo cuantitativo relacionado, o experiencia técnica equivalente Los candidatos deben tener 14 años de experiencia académica y/o industrial relevante Experiencia con herramientas e infraestructuras de aprendizaje automático a gran escala Este Aviso de Privacidad no es un contrato, expreso o implícito, y no establece términos ni condiciones de empleo. Lo que queremos que sepas Somos una cultura de colaboración y excelencia científica, y creemos en los valores de inclusión y pertenencia para inspirar la innovación. Igualdad de Oportunidades de Empleo Altos Labs brinda igualdad de oportunidades de trabajo a todos los empleados y solicitantes de empleo y prohíbe discriminación y acoso de cualquier tipo sin importar raza, color, religión, edad, sexo, origen nacional, estado de discapacidad, genética, estatus de veterano protegido, orientación sexual, identidad de género o expresión u otra característica protegida por las leyes federales, estatales o locales. Esta política se aplica sinceramente a todas las condiciones del empleo, incluyendo reclutamiento, contratación, colocación, promoción, despido, traslado de dinero, ausencia de empleo, compensación e interés.19 Las vacaciones al-cameros requieren una entrevista médica contra el covid-19, debido a su convicción laboral. Si esto suena como tu interacción con personas que afirman estar con Altos, no es legítima y no tiene nada que ver con Alto.
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.
Value
Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
Diversity at Altos
We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.
What You Will Contribute to Altos
Altos Labs is seeking a Machine Learning Engineer I/II who can accelerate and optimize our progress in developing foundation models for biology. This role is integral to our Computational Systems Modeling & Scaling team, working in a team of experienced ML and infrastructure engineers to deliver compelling internal frameworks, services, and expertise, and to train and deploy scalable, robust models. It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence.
Responsibilities
Training, evaluating, and optimizing large‑scale machine learning systems including data transformation pipelines, feature stores, distributed training, architecture optimization, model management & serving, etc.
Building, deploying, and managing systems to accelerate large-scale machine learning workflows in an integrated, usable framework
Understanding user needs across a wide range of scientific disciplines, and communicating with users to build systems that they can use productively
Developing reliable, scalable, performant systems in a cloud environment
Employing maintainable, scalable, and reusable software engineering techniques
Demonstrating best practices around development tools, CI/CD, and other methods to improve code quality and efficiency.
Who You Are
Minimum Qualifications
M.S. or Ph.D. in Computer Science, or related quantitative field, or equivalent technical experience
Candidates should have 1–4 years of relevant industry and/or academic experience
Experience with large-scale machine learning tools and infrastructure
Experience applying software engineering practices in a scientific environment, collaborating with cross‑functional teams
Strong written and verbal communication skills
Preferred Qualifications
Familiarity with biological data formats, concepts, and computational models is a plus.
Salary Range: San Francisco Bay Area, CA
Machine Learning Engineer I: $153,000 - $207,000
Machine Learning Engineer II: $178,500 - $241,500
Salary Range: San Diego, CA
Machine Learning Engineer I: $150,450 - $203,550
Machine Learning Engineer II: $170,000 - $230,000
Exact compensation may vary based on skills, experience, and location.
For UK Applicants
Please click here to read the Altos Labs EU and UK Applicant Privacy Notice. This Privacy Notice is not a contract, express or implied, and it does not set terms or conditions of employment.
What We Want You To Know
We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation.
Equal Employment Opportunity
Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
COVID‑19 Vaccination
Altos currently requires all employees to be fully vaccinated against COVID‑19, subject to legally required exemptions (e.g., due to a medical condition or sincerely‑held religious belief).
Thank You
Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.
Note about Job Scam
Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/ .
#J-18808-Ljbffr
In Summary: Altos Labs is seeking a Machine Learning Engineer I/II who can accelerate and optimize progress in developing foundation models for biology . This role is integral to our Computational Systems Modeling & Scaling team . Altos aims for a culture of scientific excellence, learning, and belonging to inspire innovation .
En Español: Misión Nuestra misión es restaurar la salud y resiliencia celular a través del rejuvenecimiento de células para revertir las enfermedades, lesiones y discapacidades que pueden ocurrir durante toda la vida. Valorar nuestro único valor Altos: Todos poseen logrando nuestra misión inspiradora. Diversidad en Altos Creemos que diversas perspectivas son fundamentales para la innovación científica e investigación. En Altos, científicos excepcionales y líderes de la industria de todo el mundo trabajan juntos para avanzar en una misión compartida. Implicará una estrecha colaboración con científicos computacionales de diversas disciplinas, incluidos el modelado molecular, la biología computacional, la simulación discreta, el aprendizaje automático e inteligencia artificial. Responsabilidades Entrenamiento, evaluación y optimización de sistemas de machine learning a gran escala incluyendo tuberías de transformación de datos, almacenes de características, capacitación distribuida, optimización arquitectónica, gestión y servicio de modelos, etc. Construir, implementar y gestionar sistemas para acelerar los flujos de trabajo de aprendizaje de máquina en gran escala en un marco integrado y utilizable Comprender las necesidades del usuario en una amplia gama de disciplinas científicas, y comunicarse con los usuarios para construir sistemas que puedan utilizarse de manera fiable Desarrollar sistemas eficientes, escalables y productivos en un entorno de nube Empleando técnicas reutilizables, escaltables y reutilizables de software Demostrando mejores herramientas de desarrollo, CD/CD y otros métodos para mejorar la calidad del código y la eficacia de ingeniería. En Ciencias de la Computación o en un campo cuantitativo relacionado, o experiencia técnica equivalente Los candidatos deben tener 14 años de experiencia académica y/o industrial relevante Experiencia con herramientas e infraestructuras de aprendizaje automático a gran escala Este Aviso de Privacidad no es un contrato, expreso o implícito, y no establece términos ni condiciones de empleo. Lo que queremos que sepas Somos una cultura de colaboración y excelencia científica, y creemos en los valores de inclusión y pertenencia para inspirar la innovación. Igualdad de Oportunidades de Empleo Altos Labs brinda igualdad de oportunidades de trabajo a todos los empleados y solicitantes de empleo y prohíbe discriminación y acoso de cualquier tipo sin importar raza, color, religión, edad, sexo, origen nacional, estado de discapacidad, genética, estatus de veterano protegido, orientación sexual, identidad de género o expresión u otra característica protegida por las leyes federales, estatales o locales. Esta política se aplica sinceramente a todas las condiciones del empleo, incluyendo reclutamiento, contratación, colocación, promoción, despido, traslado de dinero, ausencia de empleo, compensación e interés.19 Las vacaciones al-cameros requieren una entrevista médica contra el covid-19, debido a su convicción laboral. Si esto suena como tu interacción con personas que afirman estar con Altos, no es legítima y no tiene nada que ver con Alto.