Machine Learning Engineer (Applied ML) Job at adaption in New York

About Us
Most AI is frozen in place – it doesn’t adapt to the world. We think that’s backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible – it’s how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We’re looking for builders and creative thinkers ready to shape the next era of intelligence.

Our Research Principles
Sweat the details.
Technical excellence requires obsessing over every detail. We co-design serving, algorithms, and interface as one system to maximize efficiency and enable real-time adaptation.

Product as proof.
Research ideas are tested through working products. If it doesn’t improve what users can do, we question whether it matters. We share what moves the field; we don’t optimize for paper count.

Move with conviction.
We operate with urgency as a unified team, concentrating resources on a few high-conviction bets where research, product, and impact intersect.

The Role
We are obsessed with efficiency— allowing for real-time evolution of AI depends on making adaptable data and algorithms extremely efficient. The ideal candidate brings an expertise in AI/ML, a strong track record of delivering impact and cares about making impact in the real world. Act as a trusted technical advisor to strategic customers—translating needs into actionable plans.

We’re looking for a Machine Learning Engineer who thrives at the intersection of applied research and building real world products. You’ll drive the design and implementation of adaptable data strategies. You’ll work directly with the founding team, contributing to both the research direction and the product vision. This role demands technical excellence and a passion for delivering real-world impact.

Responsibilities

Deliver Real-World Impact: Lead the development and deployment of efficient, adaptive ML systems in real production environments.

Customer Collaboration: Act as a trusted technical advisor to strategic partners—turning complex needs into actionable solutions.

Hands-on Impact: The ideal candidate will own implementation of data products at Adaption. This position requires creativity and technical execution in addressing novel challenges related to data, interaction, and evaluation.

Qualifications

Bachelor’s degree in Computer Science, Machine Learning, or a related field

Good communicator, excited about aligning technical execution with business goals.

3-4 years of experience in machine learning, applied research, or systems-level engineering for AI. Bachelor’s degree (or higher) in Computer Science, Machine Learning, or a related field.

Strong software engineering skills and familiarity with ML frameworks (e.g., PyTorch, JAX, TensorFlow).

Excellent communication skills and ability to align technical work with high-level goals.

A mindset of ownership, curiosity, and a bias toward action.

Bonus: experience with online learning, reinforcement learning, or efficient ML architectures.

Bonus: Track record of deploying ML systems that solved real business problems

Benefits

Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and quarterly offsites.

Adaption Passport: Annual travel stipend to explore a country you’ve never visited. We’re building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.

Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.

Well-Being: Comprehensive medical benefits and generous paid time off.

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In Summary: Adaption is looking for a Machine Learning Engineer who thrives at the intersection of applied research and building real world products . The ideal candidate brings an expertise in AI/ML, a strong track record of delivering impact and cares about making impact in the real world . Responsibilities include leading the development and deployment of efficient, adaptive ML systems .

En Español:

La mayoría de la IA está congelada en su lugar no se adapta al mundo. Creemos que es hacia atrás. Nuestro mandato es construir inteligencia eficiente que evolucione en tiempo real. Nuestra visión es sistemas de AI que sean flexibles, personalizados y accesibles para todos.Creemos que la eficiencia es lo que hace esto posible Es así como ampliamos el acceso y garantizamos que la innovación beneficie a muchos, no a pocos. El candidato ideal trae una experiencia en IA/ML, un sólido historial de entrega de impacto y se preocupa por tener impacto en el mundo real. Actúa como asesor técnico confiable para los clientes estratégicostraduciendo las necesidades a planes accionables. Buscamos un ingeniero de aprendizaje automático que prospere en la intersección de la investigación aplicada y la construcción de productos del mundo real . Dirigirá el diseño e implementación de estrategias de datos adaptables. Trabajará directamente con el equipo fundador, contribuyendo tanto a la dirección de investigación como a la visión del producto. Este papel requiere excelencia técnica y pasión por ofrecer impactos reales. Licenciatura (o superior) en Ciencias de la Computación, Aprendizaje Automático o un campo relacionado. Fuertes habilidades de ingeniería de software y familiaridad con los marcos ML (por ejemplo, PyTorch, JAX, TensorFlow). Excelentes habilidades para comunicarse y capacidad para alinear el trabajo técnico con objetivos de alto nivel. Una mentalidad de propiedad, curiosidad y una inclinación hacia la acción. Bono: experiencia con aprendizaje en línea, aprendizaje reforzado o arquitecturas ML eficientes.