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Senior Software Engineer (AI-Native)
Telegent, Inc.
Pleasant Grove, UT
Distributed systems and data. Deep, hands-on experience across transactional, wide-column, streaming, analytical, ledger, cache and object stores, and the judgment to use each one well.
Added 1 min ago
Senior AI Operations Engineer (Senior Software Engineer)
Vizient, Inc.
Centennial, CO
Added 1 min ago
Senior AI Operations Engineer (Senior Software Engineer)
Vizient, Inc.
Centennial, CO
Added 1 min ago
HPC Systems Engineer
University Corporation for Atmospheric Research
Boulder, CO
…power cutting-edge Earth system science! As an HPC Systems Engineer, you will play a pivotal role in engineering and managing CISL's world-class computational, storage, archival, and…
Added 1 min ago
PCB HW Design Engineer
Broadcom
Fort Collins, CO
…Level Test PCBs for Broadcom products targeted at hyperscale data center applications. Broadcom’s market leading products are enabling the next generation of AI and cloud…
Added 1 min ago
GCO Corp Sr Account Dir
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Analytics Engineer
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Remote, United States
The Analytics Engineer builds and supports the reporting, data preparation, and business solutions layer of the technology environments NextEra delivers to its clients. This role turns…
Added 28 mins ago
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Senior RF Spectrum Engineer
The Aerospace Corpor
Colorado Springs, CO
- $129,000 to $249,600 USD / year
…sensors, radar, artificial intelligence (AI), and advanced data network domains. We boldly advance technology through our research and development and then forward to demonstration and…
Added 40 mins ago
Applied AI Engineer
Becoming
San Francisco, CA
We are seeking an Applied AI Engineer to help build the software, infrastructure, and data systems that power our biological intelligence platform.
Added 40 mins ago
Optics Engineer
Becoming
San Francisco, CA
We are hiring an Optics Engineer to architect and own optical subsystems within Becoming’s integrated hardware platform.
Added 46 mins ago
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2026-2027 Process Engineer Co-op - Doctorate (Gloucester, MA)
Applied Materials
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- $47 to $50 USD / hour
Design and execute experiments using Design of Experiments (DOE) methodologies and analyze data using advanced data analytics tools (Python, MATLAB & JMP).
Added 46 mins ago
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2027 Spring Electrical Engineer (Controls, PCB) Co-op BS or MS (Gloucester, MA)
Applied Materials
Gloucester, MA
- $31 to $41 USD / hour
Added 46 mins ago
Radio Frequency (RF) Engineer Asc - Level 1
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Chelmsford, MA
The Associate RF / microwave engineer will support the manufacturing of complex multi-function modules used in challenging high-reliability applications. The engineer will be responsible…
Added 46 mins ago
Manufacturing Engineer 2 - Unmanned Underwater Vehicles (UUV) 31057
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The Manufacturing Engineer II supports the development, documentation, and execution of manufacturing processes for Unmanned Underwater Vehicles (UUVs) in a defense contracting environment.…
Added 46 mins ago
Staff Electrical Engineer
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…research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality…
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…research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality…
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Senior Systems Engineer
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UX Designer (Ref# UXD116SM)
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Senior Forward Deployed Engineer
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Denver, CO
- $155,000 to $186,000 USD / year
Sinch provides API-based messaging, voice, and email capabilities that customers integrate into applications, workflows, data platforms, contact centers, and AI systems.
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AI Operations Administrator - Gravitee - Remote US
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Sr Staff Applications Operations Engineer - Engineering Tools Automation & AI Ops
GE Aerospace
Saint Louis, MO
- $131,000 to $174,000 USD / year
Responsible for supporting and maintaining critical applications and related data processing platforms and services. Ensure the team has the facilities, tools, resources and skills they…
Added 2 hours ago
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Sr Staff Applications Operations Engineer - Engineering Tools Automation & AI Ops
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Kansas City, MO
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Responsible for supporting and maintaining critical applications and related data processing platforms and services. Ensure the team has the facilities, tools, resources and skills they…

Becoming

Applied AI Engineer

San Francisco, CA, United States

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Job details

Experience: At least 1 year of industry experience
Posting language: English
Posted: Oct 11, 2026

Original job description

About Becoming Becoming is building Developmental Intelligence: AI for predicting how organisms change over time. Most experimental systems fail when metabolic demands become too high. We are building systems that don’t - by tightly integrating hardware, biology, and software into platforms that operate continuously over long time horizons. Software is the connective tissue of this platform. It turns physical systems into controllable, observable, and ultimately predictable systems.

The Role We are seeking an Applied AI Engineer to help build the software, infrastructure, and data systems that power our biological intelligence platform. This role sits at the intersection of software engineering, AI infrastructure, data engineering, and scientific computing. You will work closely with biologists, machine learning researchers, and automation engineers to create systems that transform experimental data into predictive models of living systems. You will contribute across the stack - from laboratory data ingestion pipelines and cloud infrastructure to internal tools, model-serving systems, and user-facing applications. This role is ideal for engineers who enjoy building practical AI systems and are excited to work on technically challenging problems in biology.

What You’ll Own

Software Engineering
Design and develop production-grade software systems
Build internal applications and scientific tooling
Develop APIs and backend services
Build and maintain web applications and dashboards
Create systems for experiment tracking and data visualization
Improve software reliability, testing, and deployment processes
Data & AI Infrastructure
Build and maintain large-scale biological data pipelines
Design systems for ingestion, storage, transformation, and retrieval of multimodal biological data
Develop infrastructure supporting AI model training and evaluation
Optimize data movement between laboratory systems, cloud environments, and computational pipelines
Improve dataset quality, lineage, reproducibility, and governance
Support model serving and inference infrastructure
Cloud & Platform Engineering
Design and maintain cloud infrastructure
Improve scalability, reliability, and observability of internal systems
Manage containerized and distributed workloads
Build deployment and CI/CD systems
Support high-performance computing and GPU infrastructure
Optimize cloud utilization and cost efficiency
Security & IT
Improve organizational cybersecurity posture
Manage identity and access controls
Implement security monitoring and incident response processes
Support device management and endpoint security
Develop data security and compliance practices
Help establish security standards appropriate for sensitive biological and AI data
Cross-Functional Collaboration
Work closely with scientists to understand data generation workflows
Partner with machine learning researchers to support model development
Collaborate with automation and hardware teams on laboratory integrations
Translate scientific requirements into scalable software systems

Who You Are

You are someone who:

Operates with high agency - you see gaps across the stack and take ownership of fixing them
Takes responsibility for end-to-end product outcomes, not just individual components
Brings high energy to building robust, usable, real-world software
Acts with high integrity - you care about correctness, reliability, and clarity
Communicates directly and clearly, especially when tradeoffs or failures arise
Is self-aware about your strengths and gaps, proactively fills them and open to feedback

Required

BS, MS, or PhD in Computer Science, Engineering, Mathematics, Physics, or related field
At least 1 year of industry experience
Strong proficiency in modern frontend technologies (e.g. React, TypeScript, or similar)
Strong backend experience (e.g. Python, Go, Rust, Node, or similar)
Experience with cloud platforms (AWS, GCP, or Azure)
Experience designing and maintaining APIs, services, and data models
Comfort working with time-series data and stateful systems
Strong understanding of databases and data architectures
Familiarity with Linux environments and software deployment
Thrives in startup fast pace and high intensity environments
Competitive salary and meaningful equity depending on experience level
Full benefits
High-trust, high-ownership environment
Rapid growth in scope and responsibility

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More about this job

Skills

Data engineering
Machine learning
Data visualization
CI/CD
Cybersecurity
Incident response
Apply information security policies
Regulatory compliance
Security regulations
Collaboration
Computer science
React
TypeScript
Python
Go
Rust
AWS
Google Cloud
Microsoft Azure
Data models
Linux

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