Jobs in the United States

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Added 30 mins ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
- Experience with data science or machine learning, or academic study in statistics, mathematics, or a related quantitative field.
Added 41 mins ago
Principal AI Architect - OleOle
Travoom
Remote, United States
…applications to ChatGPT, Claude, or Gemini APIs. We need an engineer with deep, firsthand experience developing, fine-tuning, deploying, and operating AI models and…
Added 2 hours ago
Principal Site Reliability Engineer (Vehicle Engineering)
SpaceX
Bastrop, TX
SpaceX HPC is a shared compute platform used across the company - vehicle and structures simulation, machine learning, AI inference, and more. We support every program at SpaceX to design…
Added 4 hours ago
Engineer, Enterprise AI
NAVITUS HEALTH SOLUTIONS LLC
MIDDLETON, WI
Added 4 hours ago
Data Systems AI / ML Engineer
Oak Ridge National Laboratory
Oak Ridge, TN
…of relevant experience, in computer science, data science, machine learning, artificial intelligence, environmental informatics, or a closely related…
Added 5 hours ago
Consulting Architect - Search
Elastic
United States
A background in open-source machine learning frameworks like PyTorch, backed by a degree in Computer Science or related field (or equivalent experience).
Added 6 hours ago
A
Principal Software Engineering - Reliability and FinOps Engineer
AT&T
Bothell, WA
- $155,400 to $261,100 USD / year
Our organization brings together reliability engineering, FinOps and infrastructure optimization, AI and automation enablement, and customer-centric business intelligence. We build reusable…
Added 6 hours ago
Software Development Engineer, Fees Tech
Amazon
Seattle, WA
…classification to seller-facing AI surfaces and the agentic infrastructure beneath them. If you are the kind of engineer who wants to see the direct impact of what you ship, you will see it…
Added 7 hours ago
TT
Research Crawling Engineer
True Talent Solutions Partners
Remote, United States
- $160,000 to $250,000 USD / year
- Experience with NLP pipelines or machine learning dataset curation is a plus.
Added 7 hours ago
TT
Software Engineer, Marketplace
True Talent Solutions Partners
San Francisco, CA
- $250,000 to $300,000 USD / year
- Explore machine learning driven recommendations to anticipate project staffing needs and automate matching.
Added 7 hours ago
Staff Data Engineer
DAT
Denver, CO
…billion in revenue, DAT deploys a suite of software solutions, machine learning models, and intelligent automation tools that help brokers, carriers, and shippers price freight accurately,…
Added 8 hours ago
C
Founding Applied AI Engineer
Clera
San Francisco, CA
- $180,000 to $230,000 USD / year
- Production applied AI experience in areas such as LLM reasoning or post-training, generative AI, agentic systems, search, recommendations, algorithms, or machine learning research.
Added 8 hours ago
Forward Deployed Engineer
Clera
Remote, United States
- Partner with machine learning and infrastructure teams to deliver deployments that meet customer expectations.
Added 8 hours ago
Senior MLOps Engineer
C the Signs
Remote, United States
We’re hiring a Senior MLOps Engineer with deep machine learning engineering experience to build and operate the production platform powering ML/LLM-driven healthcare workflows. You’ll…
Added 10 hours ago
Offensive Security AI Engineer
Micron Technology, Inc.
Boise, ID
AI will be used as a force multiplier throughout the testing lifecycle. The engineer will apply AI-assisted techniques to accelerate reconnaissance, analyze attack paths, develop and debug…
Added 10 hours ago
Staff Software Engineer
Cisco Systems, Inc.
Remote, United States
Join Splunk and help shape the future of machine data!
Added 10 hours ago
Senior Software Engineer, AI/ML Network Engineering
Cisco Systems, Inc.
Milpitas, CA
Join the Infrastructure Engineering team as a Software Engineer and help redefine how networking problems are solved. You will develop innovative software for next-generation networking…
Added 10 hours ago
W
(USA) Principal, Software Engineer
Walmart
SUNNYVALE, CA
- $143,000 to $286,000 USD / year
…globally. It includes software engineers, data scientists, and machine learning experts focused on innovative Generative AI applications within complex enterprise environments. As part of…
Added 11 hours ago
HPC Systems Engineer
University Corporation for Atmospheric Research
Boulder, CO
…scientists engage in computational science, data assimilation, and machine learning. CISL supports thousands of researchers annually and fosters the next generation of scientists and…
Added 12 hours ago
Applied AI Engineer
Becoming
San Francisco, CA
This role sits at the intersection of software engineering, AI infrastructure, data engineering, and scientific computing. You will work closely with biologists, machine learning…
Added 12 hours ago
Staff Electrical Engineer
QinetiQ
Devens, MA
…signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality…
Added 12 hours ago
Staff Mechanical Engineer
QinetiQ
Devens, MA
…signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality…
Added 12 hours ago
Senior Systems Engineer
QinetiQ
Devens, MA
…signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality…
Added 12 hours ago
Senior Systems Engineer
QinetiQ
Devens, MA
…signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality…
Added 12 hours ago
Staff Mechanical Engineer
QinetiQ
Devens, MA
…signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality…

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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