learning engineer

TerraClear

<div><div>TerraClear applies artificial intelligence, robotics, and world-class mechanical design to solve some of the most data deficient and labor intensive jobs on the farm. These technologies are rapidly transforming agricultural intelligence, allowing farmers to make faster and more informed decisions that translate into highly precise actions and more productive farms. Our first application solved one of the most disliked tasks on the farm: clearing rocks. The annual emergence of news rocks impacts nearly half of farms in North America, slowing farming, damaging equipment, and causing downtime during seeding and harvesting. Solving this problem frees farmers to focus on higher-value tasks and brings their operations into a new era of farming.

Leveraging our commercial success in rocks, we are now expanding our core technologies to new farm applications including the precise management of weeds, pests, disease and overall plant health.

Our team is tight-knit and believes in the power of teamwork. We value learning directly from the farmers we serve, getting our hands dirty, and tackling tough challenges together. You will thrive at TerraClear with a positive attitude, a collaborative mindset, a healthy dose of grit and a passion for solving real-world problems.</div><h1 class="jobSectionHeader">
Machine Learning Engineer</h1>

Remote Position

Role

As a Machine Learning Engineer, you will design, train, evaluate, and deploy deep learning models for real-world computer vision applications across mapping intelligence and robotics systems.

This is a hands-on engineering role. You will write production code, build scalable training pipelines, and improve ML infrastructure. You'll collaborate closely with other ML engineers, software engineers, and product stakeholders to continuously improve model performance in real-world environments.

Our systems operate in challenging environments where robustness, generalization, and performance matters. The models you build will directly impact field operations and autonomous decision-making.

In this role you will: 
 
Design and train modern computer vision models (CNNs, Vision Transformers, foundation models) to solve novel perception tasks 
<ul><li>
</li>
Build and maintain scalable training pipelines using PyTorch and HPC infrastructure (e.g., Slurm, distributed training) 
<li>
</li>
Develop data curation and active learning workflows 
<li>
</li>
Optimize models for deployment (ONNX, TensorRT, containerization) 
<li>
</li>
Test and validate models in both cloud and edge environments 
<li>
</li>
Build reproducible experimentation workflows (version control, experiment tracking, configuration management) 
<li>
</li>
Drive experimental cycles: define hypotheses, implement techniques from literature, evaluate results, and present recommendations 
<li>
</li>
Translate research ideas into production-ready implementations 
<li>
</li>
Design, implement, and test ML-related components and supporting software 
<li>
</li>
<li>Perform statistical analysis and fine-tune model performance based on production and field feedback</li>
</ul>
What we're looking for:

Required
3+ years of full-time professional experience in computer vision-focused machine learning (not student internship) 
<ul><li>
</li>
Strong PyTorch experience, including custom layers, loss functions, datasets, dataloaders, and training loops 
<li>
</li>
Experience with modern vision architectures (CNNs, ViTs, DETR-style models, foundation models) 
<li>
</li>
Experience building or contributing to production ML systems 
<li>
</li>
Solid software engineering fundamentals (testing, version control, clean code principles) 
<li>
</li>
Strong communication skills and ability to explain complex technical topics clearly 
<li>
</li>
<li>Engineering degree or equivalent practical experience</li>
</ul>
Preferred
Experience deploying models to edge devices (Jetson, embedded GPUs, mobile platforms) 
<ul><li>
</li>
Experience with AWS or similar cloud infrastructure 
<li>
</li>
Experience with Docker and containerized ML workflows 
<li>
</li>
Familiarity with robotics or perception systems 
<li>
</li>
<li>Experience owning or contributing to a production model that delivered business value</li>
</ul>
Compensation Range = $150-220K, commensurate with experience<div>
We offer competitive compensation and benefits to our full-time regular employees, including:
<ul>
<li>Pre-IPO stock options (tax-advantaged ISOs)</li>
<li>Competitive base salary</li>
<li>Medical, dental, and vision insurance - 100% of premiums paid for employees and 85% of premiums paid for dependents</li>
<li>Generous paid time off and holidays</li>
<li>401(k) Plan</li>
<li>An inclusive and tight company culture that is mission driven</li>
</ul>
If you're excited about TerraClear, fit the above qualifications and are passionate about solving hard problems, please apply now!

TerraClear is an Equal Opportunity Employer committed to fostering an inclusive culture with extraordinary employees. We provide employment opportunities without regard to any legally protected status. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.</div></div>

Machine Learning Engineer

ChatGPT Jobs

<div>
 
 Job Description
 
 
 
 Machine Learning Engineer
 
 
 
 Company:
 
 Harnham
 
 
 
 Location:
 
 San Francisco, CA
 
 
 <ul>
 <li>
 Remote
 
 
 </li>
 </ul>
 
 Type:
 
 Full-time
 
 
 
 Posted:
 
 10 hours ago
 
 
 
 Job Description
 
 
 
 
 MACHINE LEARNING ENGINEER - MULTIMODAL AI
 
 
 
 
 FULLY REMOTE
 
 
 
 
 $260,000 - $325,000
 
 
 
 An exciting opportunity for an experienced Machine Learning Engineer to join a team building next-generation multimodal AI systems for media generation. This role is ideal for someone with strong engineering skills, deep ML experience, and a passion for turning cutting-edge research into production-ready systems.
 
 
 You'll work on generative models for image and video, collaborating closely with engineering and product teams to bring AI-driven creative tools to life.
 
 
 
 The Company
 
 
 
 The company is a leader in AI-powered creative technology, pushing the boundaries of content creation on the browser. The engineering team is highly collaborative, fast-moving, and focused on building human-in-the-loop systems that scale.
 
 
 THE ROLE
 
 
 Hands-on engineering role focused on developing and deploying advanced ML models.
 
 
 <ul>
 <li>
 Develop computer vision and generative AI models for image and video
 </li>
 <li>
 Prototype and iterate on research solutions under tight timelines
 </li>
 <li>
 Collaborate with engineering, product, and research teams to productionize models
 </li>
 <li>
 Ensure clean, maintainable, and high-performance code
 
 
 </li>
 </ul>
 
 Your Skills &amp; Experience
 
 
 
 <ul>
 <li>
 5+ years in ML, computer vision, graphics, or related research/engineering roles
 </li>
 <li>
 Strong programming skills; experience with CUDA and C++ for performance optimizations
 </li>
 <li>
 Experience with at least one ML framework (PyTorch, TensorFlow)
 </li>
 <li>
 Deep interest in human-in-the-loop systems for creativity
 </li>
 <li>
 Ability to rapidly prototype and iterate on solutions
 </li>
 <li>
 Excellent collaboration, communication, and documentation skills
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Please register your interest by sending your resume to Calum Reid via the apply link on this page.
 
 
 
 About Harnham
 
 
 
 <ul>
 <li>
 Company size: 51 - 200 Employees
 </li>
 <li>
 Headquarters location: New York, NY, US
 </li>
 <li>
 Year founded: 2006
 </li>
 </ul>
</div>

Booz Allen Hamilton

<div>Machine Learning Engineer
The Opportunity:
As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support innovation across the DoD market. As a machine learning engineer on our defense technology team, you&rsquo;ll train, test, deploy, and maintain models that learn from data.
In this role, you&rsquo;ll own and define the direction of mission-critical solutions by implementing AI that enables faster mission success. You&rsquo;ll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to implement a wide variety of AI use cases. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define AI strategy for national security.
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
3+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying MLE models</li><li>
Experience with Python coding and libraries, including scikit-learn, TensorFlow, PySpark, or PyTorch</li><li>
Experience with developing code using a common programming language, including Python, C++, Rust, or Java</li><li>
Experience with deep learning, NLP, computer vision, or generative AI</li><li>
Experience with data handling and model development</li><li>
Ability to solve client issues and problems</li><li>
Secret clearance</li><li>
Bachelor's degree</li></ul>
Nice If You Have:<ul><li>
Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph</li><li>
Experience with supervised or unsupervised learning</li><li>
Ability to develop and maintain scalable data stores that supply big data in forms needed for business analysis</li><li>
Ability to create software for retrieving, parsing, and processing structured and unstructured data</li><li>
Master's degree</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model 
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.<ul><li>
If this position is listed as remote or hybrid, you&rsquo;ll periodically work from a Booz Allen or client site facility.</li><li>
If this position is listed as onsite, you&rsquo;ll work with colleagues and clients in person, as needed for the specific role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

<div>Machine Learning Engineer<div>
The Opportunity:
As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support innovation across the DoD market. As a machine learning engineer on our defense technology team, you&rsquo;ll train, test, deploy, and maintain models that learn from data.
In this role, you&rsquo;ll own and define the direction of mission-critical solutions by implementing AI that enables faster mission success. You&rsquo;ll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to implement a wide variety of AI use cases. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define AI strategy for national security.
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
2+ years of experience with artificial intelligence, data science, or machine learning engineering, including in a research or professional role
</li><li>Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch</li><li>
Experience with developing code using a common programming language, including Python, C++, Rust, or Java</li><li>
Experience with deep learning, computer vision, or generative AI</li><li>
Experience with supervised and unsupervised learning</li><li>
Experience with data handling and model development</li><li>
Ability to solve client issues and problems</li><li>
Secret clearance</li><li>
Bachelor's degree</li></ul>
Nice If You Have:<ul><li>
Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph</li><li>
Ability to develop and maintain scalable data stores that supply big data in forms needed for business analysis</li><li>
Ability to create software for retrieving, parsing, and processing structured and unstructured data</li><li>
Master's degree</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.</div>
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model 
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.<ul><li>
If this position is listed as remote or hybrid, you&rsquo;ll periodically work from a Booz Allen or client site facility.</li><li>
If this position is listed as onsite, you&rsquo;ll work with colleagues and clients in person, as needed for the specific role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

Nubank

<div>
 
 About Us
 
 
 
 Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.
 
 
 Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.
 
 
 Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company&rsquo;s Most Innovative Companies, and Forbes World&rsquo;s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/
 
 
 
 About The Role
 
 
 
 At AI Core, we are scaling the impact of our AI initiatives to become the primary driver of Nubank&rsquo;s most critical decision systems. We are seeking
 
 Machine Learning Engineers
 
 to lead high-impact research projects that bridge the gap between state-of-the-art AI and production-grade financial systems. You will be responsible for solving complex, ambiguous problems using Deep Learning and Foundation Models, ensuring our architectures are scalable, efficient, and driving measurable business results.
 
 
 As an Machine Learning Engineer (MLE), you&rsquo;re expected to:
 
 
 <ul>
 <li>
 Research Execution &amp; Technical Leadership (Complexity &amp; Autonomy)
 </li>
 <li>
 Lead and execute complex applied research initiatives independently, focusing on building and optimizing architectures (e.g., Transformers, GNNs) that can be deployed across critical use cases like Credit, RecSys, GenAI, and real-time inference.
 </li>
 <li>
 Address difficult and ambiguous modeling problems that require coordination across various stakeholders (Data, Infra, Product), delivering innovative solutions with a clear focus on medium-term impact.
 </li>
 <li>
 Bridge the gap between research and production by designing architectures that respect MLOps constraints, ensuring models are optimized for latency, interpretability, and cost-efficiency.
 </li>
 <li>
 Strategic Impact &amp; Collaboration (Impact)
 </li>
 <li>
 Develop and deliver innovative solutions that address project-level challenges, focusing on pushing the latest platform and AI research improvements into downstream production models.
 </li>
 <li>
 Actively participate in cross-functional collaborations, ensuring that research outputs are seamlessly integrated into Nubank's decision-making engines.
 </li>
 <li>
 Establish technical standards within the AI Core team for experimentation, model evaluation, and code quality, inspiring peers to raise their performance.
 </li>
 <li>
 Mentorship &amp; Function Contribution (Function Contribution)
 </li>
 <li>
 Serve as a technical mentor for senior engineers and researchers, providing guidance on deep learning fundamentals, problem formulation, and research methodology.
 </li>
 <li>
 Actively contribute to the function's growth by participating in mandatory activities like hiring (interview panels) and leading internal task forces to improve our ML lifecycle.
 </li>
 <li>
 Contribute to thought leadership by participating in research collaborations or internal papers that align with Nubank&rsquo;s strategic goals.
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Professional Experience: 5-7+ years in applied AI/ML, with a proven track record of delivering research-driven systems into production environments
 </li>
 <li>
 Technical Mastery:
 </li>
 <ul>
 <li>
 Deep expertise in Deep Learning architectures (Transformers, Multimodal, or GNNs).
 </li>
 <li>
 Strong coding skills in Python and proficiency with frameworks like PyTorch, JAX, or TensorFlow.
 </li>
 <li>
 Solid understanding of MLOps and the constraints of deploying models at scale.
 </li>
 </ul>
 <li>
 Problem Solving: Sophisticated skills in ML problem formulation and the ability to navigate uncertainty when data is messy or unavailable.
 </li>
 <li>
 Communication: Ability to communicate complex technical concepts to both technical peers and cross-functional stakeholders, ensuring alignment and buy-in.
 </li>
 <li>
 Analytical Capacity: Experience with large-scale experimentation and A/B testing to validate research hypotheses.
 
 </li>
 </ul>
 
 Our Benefits
 
 
 
 <ul>
 <li>
 Opportunity of earning equity at Nu
 </li>
 <li>
 Medical Insurance
 </li>
 <li>
 Dental and Vision Insurance
 </li>
 <li>
 Life Insurance and AD&amp;D
 </li>
 <li>
 Extended maternity and paternity leaves
 </li>
 <li>
 Nucleo - Our learning platform of courses
 </li>
 <li>
 NuLanguage - Our language learning program
 </li>
 <li>
 NuCare - Our mental health and wellness assistance program
 </li>
 <li>
 Extended maternity and paternity leaves
 </li>
 <li>
 401K
 </li>
 <li>
 Saving Plans - Health Saving Account and Flexible Spending Account
 </li>
 <li>
 Work-from-home Allowance
 </li>
 <li>
 Relocation Assistance Package, if applicable.
 
 
 </li>
 </ul>
 
 Role Location
 
 
 
 
 Palo Alto, California
 
 
 
 Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
</div>

Acceler8 Talent

<div>
 
 🚨
 
 Hiring: Machine Learning Engineer (Optimization / Decision Systems)
 
 
 
 📍 San Francisco (Onsite)
 
 
 💰 Up to $250K + Equity (Dependent on experience)
 
 
 
 
 
 Most companies still manage digital advertising like it&rsquo;s 2015. Manually adjusting budgets, guessing which campaigns work, and relying on black-box metrics from ad platforms.
 
 
 We&rsquo;re working with a venture-backed startup building something very different:
 
 
 An AI-driven optimization engine that autonomously allocates advertising spend using the same quantitative rigor used in high-frequency trading and financial markets.
 
 
 Instead of humans manually managing campaigns, their system continuously decides:
 
 
 &bull; Where budget should go
 
 
 &bull; When bids should change
 
 
 &bull; Which creative is losing performance
 
 
 &bull; How to maximize return across platforms
 
 
 
 
 
 
 What You&rsquo;ll Work On:
 
 
 
 🧠 Build models for LTV prediction and budget optimization
 
 
 ⚙️ Design risk-aware algorithms that control how millions in ad spend is deployed
 
 
 🔌 Build real-time integrations with platforms like Meta, Google &amp; TikTok
 
 
 📊 Develop simulation &amp; backtesting systems before strategies go live
 
 
 🚀 Take models from research &rarr; production &rarr; monitoring
 
 
 
 
 
 
 Ideal Background:
 
 
 
 ✔️ 4+ years in Machine Learning or Applied ML Engineering
 
 
 ✔️ Strong foundation in statistics, probability, and optimization
 
 
 ✔️ Experience deploying ML models in production systems
 
 
 ✔️ Builders who care about real-world impact, not just research
 
 
 
 
 
 ⭐ Bonus if you&rsquo;ve worked in quant finance, algorithmic trading, or adtech
 
 
 
 
 
 
 Why This Role Is Interesting:
 
 
 
 &bull; You&rsquo;ll build systems that control real-world financial decisions
 
 
 &bull; Early engineer helping shape the core architecture
 
 
 &bull; Opportunity to work on a $1T+ global market
 
 
 &bull; Meaningful equity at an early stage
 
 
 
 
 
 If you're interested or know someone who might be, DM me or apply below 👇👇
 
</div>

MANTECH

<div>
 MANTECH seeks a motivated, career and customer-oriented
 
 Machine Learning Engineer
 
 to join our Data and AI Practice. In this role you will be part of a cross-functional team of data scientists, data engineers, software developers and business analysts to support the deployment and scaling of AI tools to achieve mission objectives. At MANTECH, you&rsquo;ll help protect our national security while working on innovative projects that offer opportunities for advancement. This is a fully on-site position in
 
 Arlington, VA
 
 .
 
 
 
 Responsibilities Include But Are Not Limited To
 
 
 
 <ul>
 <li>
 Pipeline Automation: Implement and maintain CI/CD pipelines to streamline the development and deployment process of ML models.
 </li>
 <li>
 Containerization: Manage the packaging and containerization (e.g., Docker, Kubernetes) of AI solutions for scaling and integration.
 </li>
 <li>
 Performance Monitoring: Track system performance (accuracy, latency, coverage) and produce regular analytics reports to identify optimizations.
 </li>
 <li>
 Model Lifecycle: Implement quarterly schema/source updates, model retraining pipelines, and secure deployment optimizations.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 BA/BS in a relevant field (Computer Science, Software Engineering, AI/ML, etc.) and 8 or more years of professional experience in software development, machine learning, or systems engineering, with deep expertise in Machine Learning Operations (MLOps).
 </li>
 <li>
 Demonstrated experience deploying and operationalizing both conventional AI and generative AI models across the full development life cycle.
 </li>
 <li>
 Experience with container orchestration (Kubernetes) and data governance.
 </li>
 <li>
 Familiarity with Intelligence Community (IC) or Department of Defense (DoD) operational environments.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science or related field.
 </li>
 <li>
 Experience with analyzing and reporting on diverse data.
 </li>
 <li>
 Strong experience with multiple cloud platforms and with hybrid (cloud and on-premises) environments
 </li>
 <li>
 Deep expertise in one or more machine learning specialties.
 
 
 </li>
 </ul>
 
 Clearance Requirements
 
 
 
 <ul>
 <li>
 Must possess a current and active TS with SCI eligibility
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Must be able to remain in a stationary position 50% of the time.
 </li>
 <li>
 Must be able to communicate, converse, and exchange information with peers and senior personnel.
 </li>
 <li>
 Constantly operates a computer and other office productivity machinery, such as a computer.
 </li>
 </ul>
</div>

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