Jobs in the United States

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Added 2 mins ago
AI/Machine Learning Engineer, Neuro-AI
Cahira Technologies
Boston, MA
We are seeking AI/Machine Learning Engineers who will architect and implement the core AI pipelines that drive our innovative solutions. This is a unique opportunity to build the future of…
Added 2 mins ago
DA
ML Engineer - Robotics
Deccan AI
Mountain View, CA
- $160,000 to $320,000 USD / year
We’re looking for an ML Engineer – Robotics to design, train, and deploy intelligent models that power autonomous systems. You’ll work at the intersection of machine learning, control…
Added 2 mins ago
DA
ML Engineer - Demand Geneneration / Research / Engineering
Deccan AI
Mountain View, CA
- $160,000 to $320,000 USD / year
We are looking for an ML Engineer – Demand Generation / Research / Engineering to build intelligent systems that leverage machine learning, data science, and AI to drive business growth and…
Added 2 mins ago
DA
Founding Engineer - ML Research
Deccan AI
Mountain View, CA
- $160,000 to $320,000 USD / year
We’re looking for a Founding ML Research Engineer to help build and scale our AI research backbone from the ground up. This role sits at the intersection of applied machine learning and…
Added 2 mins ago
Founding Engineer - Machine Learning
Deccan AI
Mountain View, CA
We’re looking for a Founding ML Engineer to build and scale core machine learning systems from the ground up. This is a hands-on role for someone who can move fast between experimentation…
Added 3 mins ago
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Software Engineer, Generalist (C++/Python)
Fabri
Billerica, MA · Boston, MA
- $140,000 to $180,000 USD / year
Help identify where automation, instrumentation, analytics, or machine learning can improve quality, throughput, and repeatability.
Added 3 mins ago
TW
AI Marketing Project Manager
Together We Talent
Remote, United States
- $50 to $60 USD / hour
This is not an AI Engineer or AI Developer position. The Project Manager will serve as the critical bridge between Marketing business owners and AI development teams, translating marketing…
Added 7 mins ago
LLM Engineer (Large Language Model Engineer)
Nestifytech Solutions Private Limited
Remote, United States
At NestifyTech Solutions, looking for a highly skilled LLM Engineer to develop, fine-tune, and integrate large language models (LLMs) into enterprise-grade applications. This role requires…
Added 8 mins ago
MLOps Engineer Internship
Metasys
Remote, United States
The MLOps Engineer is crucial for bridging the gap between data science and production, responsible for the reliable, scalable, and secure deployment of machine learning models. You will…
Added 8 mins ago
AI/ML Engineer Internship
Metasys
Remote, United States
Candidates must possess deep experience in machine learning, LLM technology, and production deployment:
Added 11 mins ago
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AI/ML Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $85,000 to $130,000 USD / year
We are seeking a motivated and technically skilled AI/ML Engineer to join our engineering team. The ideal candidate will have a strong foundation in Python programming, machine learning…
Added 11 mins ago
ET
AI Engineer (US)
EdgeQ Technologies Private Limited
San Francisco, CA
- $100,000 to $180,000 USD / year
We are seeking a talented and motivated AI Engineer to design, develop, and deploy AI-powered applications using Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG),…
Added 11 mins ago
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AI Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $110,000 to $150,000 USD / year
Exposure to machine learning frameworks and AI deployment workflows.
Added 31 mins ago
AI Research Scientist/ Research Engineer: Materials Discovery
Logical Intelligence
San Francisco, CA
…into new molecules. You will build the AI systems that propose and evaluate candidates, and work with our partner labs so that every synthesis and measurement teaches the models something.…
Added 36 mins ago
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Staff Machine Learning Engineer
PayPal, Inc.
San Jose, CA
- $196,500 to $291,500 USD / year
As a Staff Engineer, you will lead the design, development, and implementation of advanced machine learning (ML), large language model (LLM), and agentic AI systems that solve complex…
Added 44 mins ago
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Principal Platform Software Engineer - JOIN OCI NASHVILLE!
Oracle
Bismarck, ND
- $104,500 to $234,600 USD / year
We are seeking a Principal Platform Software Engineer to help shape the architecture, query language, and distributed execution platform behind these capabilities. In this role, you will…
Added 58 mins ago
AI Engineer (Active IRS MBI clearance)
Mission Bridge Partners
Remote, United States
Evaluate, fine-tune, and optimize machine learning and language models to meet performance, accuracy, and operational requirements.
Added 1 hour ago
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Senior Solution Engineer
Snowflake
Remote, United States
- $165,000 to $216,562 USD / year
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
Added 1 hour ago
Senior Software Engineer, Cloud Product Engineering
Aerospike, Inc.
Mountain View, CA
Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per…
Added 1 hour ago
Senior Software Engineer, AI & Infrastructure Planning
Cloudflare
Austin, TX
Incorporate predictive statistical and machine learning models into agent systems, establishing robust BigQuery data pipelines, optimized access patterns, and continuous monitoring.
Added 1 hour ago
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Research Engineer, Evals
True Talent Solutions Partners
San Francisco, CA
- $250,000 to $290,000 USD / year
- Strong Python skills and experience with machine learning, LLMs, data pipelines, evaluation frameworks, web scraping, NLP, and statistical analysis.
Added 1 hour ago
FIB-TEM Automation Engineer
Micron Technology
Boise
As a FIB-TEM automation engineer at DTG TEM lab, you will contribute to the development and implementation of automated FIB-TEM workflows. You will collaborate closely with other DRAM…
Added 1 hour ago
Staff Engineer, Technology - AMAIS
Micron Technology
Boise
The Advanced Modeling & AI Solutions team is seeking a Sr/Staff Technology-AMAIS Engineer to develop and deploy physics and data-driven process models, composite modeling solutions, and…
Added 2 hours ago
Data Scientist
LEIDOS, INC.
Odenton, MD
Google Professional ML Engineer, AWS Machine Learning Specialty, or NVIDIA Generative AI/LLM Associate.
Added 2 hours ago
Software Systems Engineer, Data Labeling Engineering - Early Career
General Motors LLC
Sunnyvale, CA
As an early-career Software Engineer on the Data Labeling Engineering team, you will build tools and services that help machine learning teams create high-quality training data for…

EarthOptics

Software Engineering Lead

Raleigh, NC, United States

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Job details

Experience: 2+ years of professional software engineering experience, or equivalent experience through internships, co-ops, research, or substantial shipped projects.
Posting language: English
Posted: Nov 4, 2026

Original job description

Join EarthOptics as a Software Engineering Lead!

At EarthOptics we are combining cutting-edge genomic analysis, data science, microbiology, and remote sensing to revolutionize agriculture. Our mission is to be the leading soil information company, delivering maps that growers, farmers, ranchers, and other stakeholders use to cost-effectively increase yields and improve soil health and the climate. We are creating a future where traditional sampling methods are obsolete.

We are a growing company with a passion for soil health, innovative technologies, and supporting all within the food value chain. We currently have ~100 individuals spread across 20 states and two countries, and they come from all walks of life, industries, and experiences. We are deeply focused on building the future of AgTech and sustainability and helping the world see soil differently.

Our Software Engineering Lead will join our Software Engineering team as an individual contributor, helping build and maintain software that connects field applications, laboratory automation, hardware, and data systems. This role is ideal for an engineer who enjoys moving between production software and physical systems, takes ownership of the technology they support, and is comfortable solving problems across software, electronics, and hardware.

The digs:

Job Type: Full time, Exempt
Work Location: Hybrid - Raleigh, North Carolina. This role requires practical commuting distance to the Raleigh office and typically works onsite 1–3 days per week, with flexibility based on project and hardware-testing needs.
Travel: 10% of the time
Compensation: $115,000-$130,000 annually + equity.

*Your actual base pay will depend on your job-related skills, experience, and relevant education or training.

What you’ll cultivate as a Software Engineering Lead:

Take primary engineering ownership of the Mobile GroundOwl (GO) application following a structured handoff. Maintain a stable, high-quality field application by diagnosing issues, implementing targeted enhancements, managing dependencies, supporting releases, and collaborating with backend engineers on APIs and integrations.
Improve the reliability and maintainability of Mobile GroundOwl through automated testing, observability, documentation, and support tooling. Help ensure dependable operation in low- and no-connectivity field environments where offline data capture, data integrity, synchronization, and recovery are critical.
Design and develop lab automation systems that integrate application software, firmware, sensors, motors, actuators, microcontrollers or single-board computers, and custom electronics. Develop control logic, data-acquisition software, calibration routines, diagnostics, safety interlocks, and operator interfaces.
Contribute software across EarthOptics products and platforms, including customer-facing applications, backend services, integrations, device software, and internal engineering tools. Collaborate with product managers, engineers, lab teams, hardware teams, and operational teams to turn real-world problems into practical, maintainable solutions.
Apply strong engineering practices across prototypes and production systems, including thoughtful design, code review, automated testing, observability, security, and documentation. Use AI-assisted development tools thoughtfully to accelerate implementation, debugging, testing, research, and documentation while retaining responsibility for correctness, security, safety, and code quality.

Within your first 60–120 days, you’ll be expected to:

Complete a structured handoff and establish clear engineering ownership of the Mobile GroundOwl application.
Develop a strong understanding of Mobile GroundOwl’s field workflows and reliability needs, including crash rates, failed synchronization, support escalations, and low-connectivity operation.
Diagnose and address priority field issues while strengthening testing, observability, documentation, and support practices.
Begin contributing to lab automation initiatives, progressing from problem definition and prototyping toward reliable systems that laboratory users can operate and maintain confidently.

Are you our soil-mate? You’ll bloom in this role if you have experience in:

A bachelor’s degree in computer science, computer engineering, electrical engineering, mechanical engineering, or a related field - or equivalent practical experience.
2+ years of professional software engineering experience, or equivalent experience through internships, co-ops, research, or substantial shipped projects. We care more about demonstrated ownership and learning speed than a precise year count.
Maintaining or shipping a production mobile application. React Native and TypeScript/JavaScript experience is strongly preferred.
Strong Python development and comfort working in C/C++ or another language used for embedded, automation, or systems development.
Working hands-on with sensors, motors, motor drivers, actuators, microcontrollers, data acquisition, and basic electronics troubleshooting.
Rapid prototyping: defining a problem, building a solution, testing it with real hardware, diagnosing failures, and iterating.
Git, code review, automated testing, and dependable software release practices.
Using AI coding assistants effectively while independently validating generated output and maintaining high standards for quality, correctness, security, and safety.
Communicating clearly, documenting your work, operating independently, and collaborating effectively across software, hardware, lab, product, and operations teams.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor or transfer visas at this time.

Although not required, we’d love to see roots in:

Prior experience in a fast-paced, start-up environment.
Mobile application release management for the Apple App Store and Google Play.
Bluetooth Low Energy, Wi-Fi, USB, serial, CAN, I2C, SPI, or other device communication protocols.
Linux-based edge computing, microcontrollers, real-time systems, or embedded firmware.
Laboratory instrumentation, robotics, industrial controls, motion control, or machine vision.
Cloud APIs, backend services, databases, or telemetry systems.
Reading schematics and designing or modifying straightforward custom electronics and PCBs using KiCad, Altium, or similar tools.
Mechanical prototyping, CAD, 3D printing, test fixtures, or design-for-assembly.
Agriculture, field-deployed technology, or other environments where software must perform reliably outside a traditional office setting.

Aside from “the green”, we can offer you:

Medical, Dental & Vision Insurance - 90% funded by EarthOptics for benefit-eligible employees and 55% for dependents
Company-paid LTD, STD, and Life Insurance
Meaningful equity option grants
401k Plan + Employer Match up to 4%
17 days of paid time off, plus 11 additional company holidays
Parental Leave
Professional Development Stipend + access to learning platforms
Candidate Referral Program
Above and Beyond Bonus Program
Flexible Schedule & Hybrid/Remote Work Environment
Regular opportunities to give feedback on our benefits offerings

How we stay grounded:

Although we have teammates working in the field, in-office, and at home, we aim to create a cohesive, diverse, and enriching environment for all of our employees. We embrace different tools to enhance our workflows and communicate intentionally, both live and asynchronously. A few quick facts you should know:

We rely on Slack to communicate. Although there are a variety of team-specific systems to facilitate your work, this is our primary!
We love both food and emojis at EarthOptics. If hired, you’ll come to love (and use many) taco and donut emojis. 🌮🍩
Our core business hours are Monday through Friday 11am-4pm EST. We have teammates in every time zone, and have some teams that operate outside of that timeframe. As a remote employee, you are asked to honor those hours to ensure enough time to overlap with key cross-functional teams.
In order to maximize our remote culture, we host company-wide opportunities to connect (virtually and in-person) and create space for focus work. For example, we have a weekly all-hands stand-up meeting on Monday and reserve Fridays as a regular “No Meeting” day.

Inclusion and Diversity at EarthOptics:

At EarthOptics, we embrace diversity and equality, and stand against any form of discrimination or harassment. We base all hiring and promotion decisions on business needs, job requirements, and individual qualifications, regardless of race, color, religion, gender, gender identity, national origin, age, marital status, parental status, veteran status, or disability.

We are deeply committed to welcoming and including every qualified individual. As a part of this commitment, we ensure that persons with disabilities have access to reasonable accommodations. If you require assistance during the job application or interview process, need support to perform essential job functions, or seek other benefits and privileges of employment, please reach out to us at accommodations@earthoptics.com.

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