P2P is hiring: Partner 20, Applied ML, Engineer, ASG in San Francisco
P2P, San Francisco, CA, United States
Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $90B under management across multiple funds.
We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world.
The Role
You will join a team of highly autonomous, senior ICs developing both software capabilities for the firm’s investing and operating functions, and external-facing products for the firm’s partners, portfolio, and investors. This role specifically involves leading the technical strategy, architecture, and implementation of machine learning systems that power the firm’s internal and external-facing applications. You will be responsible for the entire model lifecycle, from feature engineering and training to large-scale, low-latency serving and robust MLOps infrastructure.
The Applied Software Group operates in the mode of an internal startup. We own an exceptionally tight feedback loop and take on requests from all corners of the firm. This is a high-visibility role that requires a clear architectural vision, strong software engineering fundamentals, exacting communication skills, and the ability to engage and educate our firm on the technology we are developing and shipping.
This role requires an in-office presence 2-3 days a week in our San Francisco, CA office.
To join our team, you should be excited to:
Architect, build, and maintain scalable and reliable ML production pipelines (data, training, and inference)
Collaborate with the Applied Software Group (ASG) team to integrate ML models into user-facing products serving the investing partnership and our operating teams
Set and evolve MLOps standards for the team, including producibility, automated testing, CI/CD, observability, and model governance across the firm.
Research and lead the implementation of model serving strategies (e.g., real-time APIs, batch processing) to meet strict latency and throughput requirements
Drive the technical roadmap for core ML infrastructure, influencing platform choices and building cloud-native systems primarily on GCP.
Operate with high autonomy, owning outcomes end-to-end, proactively identifying gaps, and raising the technical bar for the team.
Set a high standard for code quality and system design, producing clear, principled, and extensible solutions that scale with the firm.
Bring positive energy in every interaction with the team and foster inclusive collaboration
Learn the inner workings of VC and work closely with the investing partnership
Minimum Qualifications
2+ years of professional experience as a Machine Learning Engineer or similar role.
Strong mathematical intuition and problem-solving skills
Expertise in Python and its statistical modeling ecosystem (e.g. NumPy, scikit-learn, etc.)
Solid experience with major ML frameworks like PyTorch, TensorFlow, or JAX
Proven experience deploying and managing ML models in a production environment using tools like Kubeflow, MLflow, Airflow, or TFX
Strong understanding of containerization technologies (e.g., Docker, Kubernetes/GKE) as applied to ML serving
Familiarity with cloud computing environments (preferably GCP), including data storage and compute services
Low ego, high empathy, and the capacity to collaborate effectively with diverse teams
The anticipated salary range for this role is between $362,000 - $422,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope.
This role is eligible to participate in the a16z carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.
a16z culture
We do only first class business and only in a first class way
We take a long view of relationships, because we are in the relationship business
We believe in the future and bet the firm that way
We are all different, we recognize that, and we win
We celebrate the good times
We do it for the team
We play to win
At a16z we are always looking to hire the absolute best talent and recognize that diversity in our experiences and backgrounds is what makes us stronger. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. These differences are what enables us to work towards the future we envision for ourselves, our portfolio companies, and the World.
Our organization participates in E-Verify. Click here to learn about E-Verify.
Andreessen Horowitz hereby reserves the right to make use of any unsolicited resumes received from outside recruiting agencies and / or individual recruiters without being responsible for payment of any fees asserted from the use of unsolicited resumes.
#J-18808-Ljbffr
In Summary: Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology . The role involves leading the technical strategy, architecture, and implementation of machine learning systems that power the firm’s internal and external-facing applications . The anticipated salary range for this role is between $362,000 - $422,000 .
En Español: Fundada en Silicon Valley en 2009 por Marc Andreessen y Ben Horowitz, a16z es una firma de capital riesgo que apoya a emprendedores audaces construyendo el futuro a través de la tecnología. Somos agnósticos del escenario. Invertimos en semillas para aventurarse en compañías tecnológicas en etapa de crecimiento, a lo largo de IA, bio + salud, consumidor, cripto, empresa, fintech, juegos y empresas que se dirigen hacia el dinamismo estadounidense. a16Z tiene $ 90 mil millones bajo gestión en múltiples fondos. Hemos establecido un equipo definido por respeto al empresario y el proceso de construcción de la compañía; sabemos cómo es estar en los zapatos fundadores. Usted será responsable de todo el ciclo de vida del modelo, desde la ingeniería y capacitación de características hasta servicios a gran escala con baja latencia e infraestructura robusta MLOps. Este es un papel de alta visibilidad que requiere una visión arquitectónica clara y fiable de la producción ML (datos, capacitación e inferencia) Colaborar con el equipo del Grupo de Software Aplicado (ASG), habilidades exigentes de comunicación, y la capacidad de involucrar y educar a nuestra empresa sobre la tecnología que estamos desarrollando y enviando. Este rol requieren una presencia en la oficina 2-3 días por semana en nuestra oficina de San Francisco, CA. Para unirse a nuestro equipo, usted debe estar emocionado de: Arquitecto, construir y mantener tuberías de producción ML escalables y confiables (data, entrenamiento y inferencia). NumPy, scikit-learn, etc.) Experiencia sólida con los principales marcos de ML como PyTorch, TensorFlow o JAX experiencia comprobada desplegando y administrando modelos ML en un entorno productivo utilizando herramientas como Kubeflow, MLflow , Airflow o TFX Conocimiento fuerte de las tecnologías de contenerización (por ejemplo, Docker, Kubernetes / GKE) aplicadas al servicio de ML Familiariedad con ambientes de computación en la nube (preferiblemente GCP), incluyendo almacenamiento de datos y servicios de cómputo Bajo ego, alta empatía y capacidad para colaborar eficazmente con equipos diversos El rango salarial anticipado para este papel es entre $ 362.000 - $ 422.000, el pago real puede variar según una gama de habilidades, talento y alcance. Esto es elegible para participar en el programa dental 401z16 y siempre nos permitimos llevar a cabo programas discretos y beneficios diferentes, ya que reconocemos que todas nuestras relaciones profesionales se desarrollan de manera muy diversa. Contrataremos candidatos de cualquier raza, color, ascendencia, religión, sexo, origen nacional, orientación sexual, identidad de género, edad, estatus matrimonial o familiar, discapacidad, estado veterano y cualquier otro status. Estas diferencias son lo que nos permite trabajar hacia el futuro que imaginamos para nosotros mismos, nuestras compañías de cartera y el mundo.
We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world.
The Role
You will join a team of highly autonomous, senior ICs developing both software capabilities for the firm’s investing and operating functions, and external-facing products for the firm’s partners, portfolio, and investors. This role specifically involves leading the technical strategy, architecture, and implementation of machine learning systems that power the firm’s internal and external-facing applications. You will be responsible for the entire model lifecycle, from feature engineering and training to large-scale, low-latency serving and robust MLOps infrastructure.
The Applied Software Group operates in the mode of an internal startup. We own an exceptionally tight feedback loop and take on requests from all corners of the firm. This is a high-visibility role that requires a clear architectural vision, strong software engineering fundamentals, exacting communication skills, and the ability to engage and educate our firm on the technology we are developing and shipping.
This role requires an in-office presence 2-3 days a week in our San Francisco, CA office.
To join our team, you should be excited to:
Architect, build, and maintain scalable and reliable ML production pipelines (data, training, and inference)
Collaborate with the Applied Software Group (ASG) team to integrate ML models into user-facing products serving the investing partnership and our operating teams
Set and evolve MLOps standards for the team, including producibility, automated testing, CI/CD, observability, and model governance across the firm.
Research and lead the implementation of model serving strategies (e.g., real-time APIs, batch processing) to meet strict latency and throughput requirements
Drive the technical roadmap for core ML infrastructure, influencing platform choices and building cloud-native systems primarily on GCP.
Operate with high autonomy, owning outcomes end-to-end, proactively identifying gaps, and raising the technical bar for the team.
Set a high standard for code quality and system design, producing clear, principled, and extensible solutions that scale with the firm.
Bring positive energy in every interaction with the team and foster inclusive collaboration
Learn the inner workings of VC and work closely with the investing partnership
Minimum Qualifications
2+ years of professional experience as a Machine Learning Engineer or similar role.
Strong mathematical intuition and problem-solving skills
Expertise in Python and its statistical modeling ecosystem (e.g. NumPy, scikit-learn, etc.)
Solid experience with major ML frameworks like PyTorch, TensorFlow, or JAX
Proven experience deploying and managing ML models in a production environment using tools like Kubeflow, MLflow, Airflow, or TFX
Strong understanding of containerization technologies (e.g., Docker, Kubernetes/GKE) as applied to ML serving
Familiarity with cloud computing environments (preferably GCP), including data storage and compute services
Low ego, high empathy, and the capacity to collaborate effectively with diverse teams
The anticipated salary range for this role is between $362,000 - $422,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope.
This role is eligible to participate in the a16z carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.
a16z culture
We do only first class business and only in a first class way
We take a long view of relationships, because we are in the relationship business
We believe in the future and bet the firm that way
We are all different, we recognize that, and we win
We celebrate the good times
We do it for the team
We play to win
At a16z we are always looking to hire the absolute best talent and recognize that diversity in our experiences and backgrounds is what makes us stronger. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. These differences are what enables us to work towards the future we envision for ourselves, our portfolio companies, and the World.
Our organization participates in E-Verify. Click here to learn about E-Verify.
Andreessen Horowitz hereby reserves the right to make use of any unsolicited resumes received from outside recruiting agencies and / or individual recruiters without being responsible for payment of any fees asserted from the use of unsolicited resumes.
#J-18808-Ljbffr
In Summary: Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology . The role involves leading the technical strategy, architecture, and implementation of machine learning systems that power the firm’s internal and external-facing applications . The anticipated salary range for this role is between $362,000 - $422,000 .
En Español: Fundada en Silicon Valley en 2009 por Marc Andreessen y Ben Horowitz, a16z es una firma de capital riesgo que apoya a emprendedores audaces construyendo el futuro a través de la tecnología. Somos agnósticos del escenario. Invertimos en semillas para aventurarse en compañías tecnológicas en etapa de crecimiento, a lo largo de IA, bio + salud, consumidor, cripto, empresa, fintech, juegos y empresas que se dirigen hacia el dinamismo estadounidense. a16Z tiene $ 90 mil millones bajo gestión en múltiples fondos. Hemos establecido un equipo definido por respeto al empresario y el proceso de construcción de la compañía; sabemos cómo es estar en los zapatos fundadores. Usted será responsable de todo el ciclo de vida del modelo, desde la ingeniería y capacitación de características hasta servicios a gran escala con baja latencia e infraestructura robusta MLOps. Este es un papel de alta visibilidad que requiere una visión arquitectónica clara y fiable de la producción ML (datos, capacitación e inferencia) Colaborar con el equipo del Grupo de Software Aplicado (ASG), habilidades exigentes de comunicación, y la capacidad de involucrar y educar a nuestra empresa sobre la tecnología que estamos desarrollando y enviando. Este rol requieren una presencia en la oficina 2-3 días por semana en nuestra oficina de San Francisco, CA. Para unirse a nuestro equipo, usted debe estar emocionado de: Arquitecto, construir y mantener tuberías de producción ML escalables y confiables (data, entrenamiento y inferencia). NumPy, scikit-learn, etc.) Experiencia sólida con los principales marcos de ML como PyTorch, TensorFlow o JAX experiencia comprobada desplegando y administrando modelos ML en un entorno productivo utilizando herramientas como Kubeflow, MLflow , Airflow o TFX Conocimiento fuerte de las tecnologías de contenerización (por ejemplo, Docker, Kubernetes / GKE) aplicadas al servicio de ML Familiariedad con ambientes de computación en la nube (preferiblemente GCP), incluyendo almacenamiento de datos y servicios de cómputo Bajo ego, alta empatía y capacidad para colaborar eficazmente con equipos diversos El rango salarial anticipado para este papel es entre $ 362.000 - $ 422.000, el pago real puede variar según una gama de habilidades, talento y alcance. Esto es elegible para participar en el programa dental 401z16 y siempre nos permitimos llevar a cabo programas discretos y beneficios diferentes, ya que reconocemos que todas nuestras relaciones profesionales se desarrollan de manera muy diversa. Contrataremos candidatos de cualquier raza, color, ascendencia, religión, sexo, origen nacional, orientación sexual, identidad de género, edad, estatus matrimonial o familiar, discapacidad, estado veterano y cualquier otro status. Estas diferencias son lo que nos permite trabajar hacia el futuro que imaginamos para nosotros mismos, nuestras compañías de cartera y el mundo.