753 Deep Learning jobs in the United States

About Mashgin

At Mashgin, we have developed a successful and innovative point-of-sale experience that uses computer vision and AI to make checkout nearly instantaneous. Our mission is to eliminate checkout lines so people can get back to their lives.

Our kiosks are currently serving customers in thousands of locations around the world, from major sports stadiums to convenience stores, from college campuses to corporate cafeterias. We are a series B startup with 10 years of progress, and we’re already profitable. And we’re just getting started.

We value autonomy of work, a relentless obsession with customer experience (both our customers and their end-customers), and a culture of respect and fun.

Position Summary

Mashgin is looking for a passionate Computer Vision engineer who loves solving everyday vision problems. Someone who is regularly saying to themselves “This could be done with computer vision!” and who loves experimenting with new algorithms. You’ll work on a small dynamic team to design and implement cutting edge Computer Vision algorithms that will be used everyday by our customers.

You Will Be

• Developing new computer vision algorithms with founders in C/C++ and Python for solving challenging real-world problems
• Coming up with large scale data collection techniques for training Deep Neural Nets
• Driving the development of new algorithms that dramatically improve our existing methods
• Researching and maintaining state-of-the-art ML/CV algorithms that can analyze images
• Coding full-stack building products from end to end

Minimum Qualifications

• 8+ years relevant coding experience
• Masters degree in Computer Science or related field
• Strong background in Computer Vision
• Exposure to new Deep Learning techniques for image recognition

Preferred Qualifications

• MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field
• Experience with Python or C/C++ in a Linux environment
• Knowledge and experience in application of Deep Learning to Computer Vision problems
• Real-world experience building Computer Vision systems

What We Offer

• An opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industries
• Excellent health, dental and vision insurance for you and your dependents
• 401k plan
• Flexible PTO policy
• Catered lunch in office with fully stocked snacks and beverages
• Pet insurance for your fur babies
• Voluntary life insurance plan
• Competitive salary and options in a small, rapidly scaling company

$200,000 - $00,000 a year

For roles based in Palo Alto, CA, the overall market range for Mashgin is typically 200,000 - 300,000 USD annually. Note that total compensation for this position will be determined by candidate’s relevant qualifications, work experience, skills, and other relevant factors. This estimate excludes the value of any benefits offered by Mashgin, and the potential future value of any other long-term incentives.

Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

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Lead, Machine Learning Engineering & AI Research

1910 Genetics is the only company that has built a synergistic, dual-purpose small and large molecule platform that integrates artificial intelligence (AI), computation, and biological automation to design drug-like molecules better, faster, and cheaper than traditional approaches. Based in the Seaport District of Boston, 1910 Genetics is a Series A stage biotechnology startup that was founded in 2018 and is backed by prestigious investors, including M12-Microsoft’s Venture Fund, Sam Altman – the CEO of OpenAI (makers of ChatGPT), Playground Global, Y Combinator, New Ventures Funds (Scientia Ventures), and many others.

At 1910 Genetics, we first established an understanding of the molecular basis of disease to the granularity at which the world understands sickle cell anemia. This understanding centers biology as our North Star and drives our integration of artificial intelligence (AI), computation, and biological automation to accelerate the design of small molecule and protein therapeutics.

Recent advances in computational technologies have placed historically “undruggable” targets within therapeutic reach. But at 1910 Genetics, we often say “Biology is King,” meaning that computational technologies are only impactful in drug discovery when driven by experimental biology. Our platforms’ scale and breadth empower us to be therapeutic area-agnostic with programs ranging from neuroscience and immunology to infectious disease and oncology, to name a few.

You are someone we can count on to.

• Act as both an Individual Contributor (IC), who can roll up her sleeve, and play an important role in our mission to use AI/ML to develop drugs against historically difficult disease targets, as well as a Leader who can build and grow the ML Engineering & AI Research team over time.

You will own.

• Proposal of innovative AI/ML models that address specific use cases in our drug discovery process.
• Development and launch of prototype models.
• Productionization of AI/ML models on AWS.
• The company’s AWS Infrastructure.
• The growth of the ML Engineering & AI Research team.

You will teach.

• Your cross-disciplinary colleagues from Computational Chemistry, Medicinal Chemistry, Computational Biology, Cell Biology, and Pharmacology, how AI/ML can solve important problems for them.

You will learn.

• The process of drug discovery and development.

You will improve.

• Our existing process for incorporating AI/ML into drug discovery.

Within 1 month you will.

• Form a view on which AI/ML models address the highest need use cases in our drug discovery process.
• Begin prototyping AI/ML models on AWS.

Within 3 months you will.

• Productionize AI/ML models on AWS that would become a cornerstone of the company’s drug discovery efforts.

Within 6 months you will.

• Continue improving the first set of production-grade AI/ML models on AWS.
• Build and productionize improved AI/ML models on AWS to harmonize and accelerate our drug discovery process.

Within 12 months you will.

• Grow the team with new hires including ML Engineers, AI Researchers, and Product Managers.

This is an exciting time to join a fast-growing startup on a mission to save human lives. If you enjoy working on important problems with a small team of passionate and fun individuals, come join us!

• Extremely generous equity package coupled with competitive salary.

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About Prima Mente

Prima Mente’s goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact.

Role focus - Hands On Research Direction

Solve complex biological problems via robust high impact experimental design and critical judgements on project viability. Publish world-class scientific research papers.

• Drive foundational research in ML for biological problems, setting ambitious agendas and leading their execution.

• Conceptualize and develop novel foundation models, scaling them across massive, complex biological datasets.

• Lead high-impact experiments, effectively navigating signal-to-noise in large-scale biological data.

• Collaborate closely with interdisciplinary teams, bridging AI research, computational biology, and experimental scientists.

• Publish influential research in leading journals and conferences, establishing thought leadership in BioAI.

• Mentor researchers, building a vibrant, collaborative, and scientifically rigorous culture.

Expected Growth

In 1 month you will be responsible for:

• Deeply understanding our existing biological datasets, research infrastructure, and current foundation-model architecture.

• Formulating clear hypotheses and a prioritized roadmap for foundational model research, including immediate experimental directions.

• Establishing close relationships with interdisciplinary teams (ML engineers, computational biologists, experimental scientists), ensuring effective collaboration.

In 3 months you directly own and have created:

• A prototype or early iteration of a novel AI foundation model specifically designed or fine-tuned for biological datasets.

• Initial experimental results demonstrating significant potential for improving predictive accuracy or biological insights, validating your chosen research direction.

• A clear research proposal and experimental framework presented internally.

In 6 months you have:

• Delivered substantial progress on a state-of-the-art genomic foundation model, validated through rigorous benchmarking and demonstrating measurable biological or clinical impact.

• Authored (or prepared for submission) a manuscript targeting top-tier conferences or journals, clearly establishing the team as a thought leader in BioAI.

• Started mentoring junior team members, actively shaping the scientific and cultural growth of your research team.

• Built productive collaborations across internal and external teams, significantly contributing to the company’s reputation and scientific credibility in AI-driven genomics.

Why Join Us:

• Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives.

• Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions.

• Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering.

• Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field.

Culture Insight

What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands-on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous.

Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence.

We arrange our lives so we can work in person as much as possible.

Our Values

• Exceptional performance at exceptional pace

  • The solutions we build demand uncompromising quality and rigour.

  • The problems we are solving are grave and present.

• Inquisitive discovery

  • We embrace curiosity and creativity.

  • Every question is a path to a transformational breakthrough.

• Radical candour

  • We practice unwavering honesty and transparency in all our challenges and interactions.

• Purposeful individuality

  • Every individual in our team is celebrated for their identity, uniqueness, and experiences.

  • We are invested in each one’s bespoke personal development.

  • Nurturing individuality will supercharge our collective purpose and spirit.

• Patient impact at scale

  • We have a steadfast commitment to improve the health and well-being of patients globally.

  • Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact.

Who You Are

You want to redefine what’s possible at the frontier of AI and biology. You’re intellectually curious, ambitious, and passionate about applying AI to biology. You thrive in interdisciplinary teams, possess an entrepreneurial spirit, and embrace the uncertainty and excitement of pioneering research.

Necessary experience

• Experience of leading and building highly collaborative research teams.

• High agency with the ability to jump on any task as needed.

• Hands on end-to-end development of high impact publications that use ML methodologies to solve biological problems.

• Proven track record developing state-of-the-art ML models, ideally including transformers, diffusion models, or multimodal architectures.

• Experience applying ML to large multimodal biological datasets (genomics, transcriptomics, epigenomics, proteomics, single-cell data).

• Exceptional coding skills (Python, PyTorch, JAX, TensorFlow) and familiarity with scalable training frameworks.

• Experience managing large-scale distributed training across GPUs/TPUs.

• Background in generative AI, large language models, mechanistic interpretability, or reinforcement learning.

Interview Process

Our interview process is hard from the beginning, so please do come prepared to show us your strongest self. Marie is based in SF and Hannah in London - we are both available to support this process.

We promise to communicate clearly about our process, look for your strengths, be transparent in our feedback and listen to your feedback - we are always learning.

The interview steps are listed below. 1-3 are done remotely over video call. Our preference for 4-7 is in person, but remote is possible too. At stage 4 more information will be shared about the following steps.

1. Screen with Marie or Hannah

2. Meet Ravi

3. CV Deep Dive

4. Take Home Technical Challenge & Discussion

5. Analysis Challenge with Ravi

6. Systems Design & Live Coding

7. Presentation of your work to the wider team

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Sr. Deep Learning Architect, Generative AI Innovation Center

Join to apply for the Sr. Deep Learning Architect, Generative AI Innovation Center role at Amazon Web Services (AWS)

Sr. Deep Learning Architect, Generative AI Innovation Center

1 week ago Be among the first 25 applicants

Join to apply for the Sr. Deep Learning Architect, Generative AI Innovation Center role at Amazon Web Services (AWS)

Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
As a Deep Learning Architect, you will

• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
• Provide customer and market feedback to product and engineering teams to help define product direction
  

About The Team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications

• Bachelor's degree in computer science, engineering, mathematics or equivalent
• 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
• 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
• 4+ years of hands on experience with Python to build, train, and evaluate models
• 4+ years of technical client engagement experience
  

Preferred Qualifications

• Masters or PhD degree in computer science, or related technical, math, or scientific field
• 3+ years experience working with deep learning, machine learning, generative AI, or statistics
• Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
• Experience building cloud solutions with AWS
  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $39,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company - Amazon Web Services, Inc.
Job ID: A2998239

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Research, Science, and Engineering
• Industries IT Services and IT Consulting

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Job Description

Job Description

About Biostate AI
Biostate AI is a leading AI research company with Series A led by Accel.  Biostate will soon be releasing a state-of-the-art AI model for automating scientific research. We are actively seeking multiple research interns who will utilize these models to perform primary research in biotechnology, molecular biology, and bioinformatics.

About the Role
Biostate AI is seeking highly motivated undergraduate students, master’s students, early-stage PhD students, and medical students in STEM disciplines to join as AI Research Interns. In this role, successful candidates will perform novel research and write up results as manuscripts for submission to peer-reviewed journals.  The interns may be given lead or co-authorship on the manuscript, based on their contributions.

Responsibilities

• Perform novel research in biotechnology, molecular biology, or bioinformatics using Biostate’s proprietary AI model for scientific research.

• Write, revise, and finalize scientific manuscripts using Biostate’s proprietary AI model for scientific research, and submit for submission to peer-reviewed journals.

• Submit finalized manuscripts to peer-reviewed journals, potentially as lead or co-author on publications, depending on level of contribution.

• Conduct focused literature reviews to support data interpretation and contextual framing.

• Identify external principal investigators in their research fields for subsequent collaborations.
   

Candidate Qualifications

• Current undergraduate, Masters, or PhD students in a STEM field (e.g., biology, bioengineering, neuroscience, computer science).

• Strong interest in and experience with using modern generative AI tools.

• Interest in performing novel scientific research.

• Self-directed, reliable, and able to manage responsibilities in a remote work environment.
   

How to Apply

Please submit your resume or CV to with the subject line "AI Research Intern Application."  

In your email, please attach a work product generated by AI that you are particularly proud of.  This work product can be a piece of art, a song, an essay, or anything else, but it must be primarily AI generated.  Please separately attach a short Word document describing your process for creating the AI work product.

Job Description

Job Description

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

If making an impact and having a seat at the table is important to you, this is the opportunity for you. Join our small, rapidly-growing team at Quadric to develop supercomputer technology designed for the Edge. In this position, you will be a core member of our team, and will have an opportunity to grow in the company of expert technologists who also happen to be good people you’ll want to spend time with.

What We Value:

Integrity, Humility, Happiness

What We Expect:

Initiative, Collaboration, Completion

Role:

As a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You will design and implement algorithmic optimizations to extract maximum performance out of the Quadric architecture.

Responsibilities:

• Drive the lowering and optimization of cutting edge deep neural networks using Quadric’s technology
• Apply your skills and expertise in mathematical & algorithmic optimization toward solving NP-hard problems
• Collaborate within the software team to develop algorithms that optimize graph-based execution on the Quadric architecture

Requirements

• MS or Ph.D. in Computer Science, or related field, with a minimum of eight years of experience in the industry
• Strong background in numerical and/or algorithmic optimization
• Understanding of building application-appropriate heuristics for NP-hard problems
• Knowledge of both classical as well as ML algorithms, e.g., Computer Vision, DSP, DNNs, etc.
• Strong background in graphs and related algorithms

Nice to haves:

• Proficiency in C++ >= 11
• Experience using / developing in TVM
• Knowledge of front-end and back-end compiler techniques

Expected Outcomes in 12 months:

• Develop a deep understanding of the hardware platform and low level software and leverage that for optimal performance of applications.
• Have a proven track record of implementing optimization passes for efficient lowering of deep learning and high performance computing algorithms on the Quadric EPU parallel processor.

Benefits

• Provide competitive salaries and meaningful equity
• Provide a politics free community for the brilliant minds who want to make an immediate impact
• Provide an opportunity for you to build long term career relationships
• Foster an environment that allows for lasting personal relationships alongside professional one

Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.

Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.

Job Description

Job Description

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital , Carbon Robotics is driving innovation.

As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it's designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers.

Working here means tackling big problems with big impact. You'll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions.

Join us as we innovate, execute, and build the future of farming together.

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As a Deep Learning Engineer at Carbon Robotics you will design experiments to test new models and algorithms, optimize them for daily deployments to operational resources in the field, document and produce reports on your findings, and integrate them with our robotics software stack.

• Build quickly through ownership and collaboration with Engineering and Product Management

Experiences for Success:

• Professional experience designing and implementing novel deep learning architectures to deliver real world computer vision solutions
• Understanding of foundational mathematical principle of deep learning architecture
• Hands-on experience across the end-to-end Machine Learning workflow - including data preparation, pipeline development, experimentation, evaluation, and deployment
• Experience with developing deep learning models at scale from inception to business impact
• Familiarity with modern object detection techniques (vision transformers, embeddings, anchor-free)
• Comfortable navigating ambiguity and evolving technical landscapes
• Effective verbal and written communication skills to explain model details and behavior to non-technical staff and customers
• Experience in deep learning model optimization and deployment
• BS+ in Data Science, Computer Science, or related field

Qualified applicants may receive a short survey after applying to help the team learn more about you.

Compensation Range spans multiple levels. Salary offered is determined by experience, level and relevant skills.

Carbon Robotics follows equitable hiring practices. Flexibility in our hiring process allows hiring of talent at levels different from what are posted. The compensation range outlined is based on a target budgeted base salary. Individual base pay depends on various factors such as relevant experience and skill, Interview assessments and responsibility of role, job duties/requirements. Offers are determined using our equitable hiring practices. Carbon Robotics offers additional compensation in the form of benefits premiums, pre-IPO stock options and On Target Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are committed to the principle of pay equity – paying employees equitably for similar work.

Offers are dependent on someone experience and may be outside of the published range when appropriate. If your skills are above the posted range. Apply! We want to hear from you!

Carbon Robotics' base salary pay range:

$30,000—$2 0,000 USD

Why would you join Carbon Robotics?

Passion for building teams capable of solving uniquely interesting problems . Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry.

We offer competitive compensation and benefits to our full time US based* employees, including:

• Competitive salaries
• Pre-IPO Stock Options
• Generous Benefits:
  • Fully-paid medical, dental, and vision insurance premiums for you and all dependents
    • Choice of PPO or HDHP/HSA
    • Virtual Care - Doctor on Demand
    • Employee Assistance Program
  • Mental Health HRA
  • Restricted Healthcare Travel support
  • Menopause Support
  • Life Insurance
  • Long Term Disability
  • Flexible PTO
  • 401(k) plan
  • Pet Insurance
  • Commuter Benefits
• Work Culture: Be a part of an inclusive and tight-knit company culture that values innovation and mission-driven success.

* Internationally based employees benefits varies & Contractors are not eligible for Carbon Robotics Benefits or Stock

Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone's voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment.

We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.

#talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics

Job Description

Job Description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years of experience, with at least 2 years in both deep learning and software engineering
• Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
• Experience with CNNs, LSTMs/RNNs, Transformers
• Strong math skills and Python proficiency
• Experience with C/C++

Preferred Skills & Experience:

• Master's or PhD in Computer Science, Engineering, or related field
• Experience in embedded or low-level programming
• Knowledge of CUDA/OpenGL
• Experience deploying neural networks in production
• Familiarity with model compression techniques like quantization, pruning, etc.

These are permanent full time remote positions.

Job Description

Job Description

DCS is looking for a computer engineer with experience in the enhancement of image quality for computational and/or human analysis and inspection to include the application of deep learning and applied mathematics. This includes real-time signal processing and analysis, machine learning/generative AI software development, and signal analysis optimization and integration. 

Essential Job Functions:

Job responsibilities include design, development, and integration of algorithms, software, and hardware for data collection, processing, calibration, and test.

Programming and hardware interfacing at all levels is expected to be applied to real-time airborne, ship-based, and terrestrial systems. 

Required Skills:

Due to the sensitivity of customer related requirements, U.S. Citizenship is required.

Must have a Master's degree in related field and 4+ years of related experience.

Must be eligible to obtain a secret clearance.

Experience in image/signal processing, software programming, deep learning, generative AI and computer vision.

Must have experience with EO/IR systems.

Desired Skills:

Experience with hyperspectral data sets.