DATA & ai RECRUITMENT in Charlotte NC

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Senior Machine Learning Engineer
Location: Phoenix, AZ (Hybrid – 4 days onsite, Wednesdays WFH)
Compensation: $120K-$165K base + 10% bonus + equity (0.05-0.15%, negotiable)
Start Date: Targeting offer by end of April; ideal start mid-May
Work Authorization: U.S. Citizen or Green Card holder required

About the Company
Our client is an AI company based in Phoenix, AZ, developing advanced generative AI solutions tailored to the nuclear power industry. Their flagship platform leverages large language models (LLMs) trained on nuclear-specific datasets to automate and optimize complex engineering processes. Their technology is designed with compliance, safety, and adaptability in mind-serving both cloud and on-premise environments.

About the Role
The company is hiring two Senior Machine Learning Engineers to build a novel, research-driven forecasting engine for nuclear equipment performance. The role leans heavily into research and is ideal for candidates with academic or self-directed ML research experience. You’ll work on custom neural net architectures-not just off-the-shelf models-and collaborate with a small, high-impact team.

Key Responsibilities:

• Design and develop custom neural networks and LLMs

• Build a multimodal model integrating logs, signals, and performance data

• Conduct research, literature reviews, and early-stage ML experiments

• Clean datasets and contribute to both research and early production code

• Collaborate with engineers, analysts, and domain experts

Ideal Candidate Will Have:

• 3+ years working directly with LLMs in a tech/startup environment

• 5+ years total ML experience (if shifted to LLMs more recently)

• Strong understanding of time series data, diagnostics, and forecasting

• Deep experience with PyTorch and neural architecture design

• Exposure to multimodal modeling (text, audio, images, signals, etc.)

• Strong academic or independent ML research background (papers, projects, or publications)

Tech Stack:

• Must-Have: Python, PyTorch (or TensorFlow), Cloud (AWS, Azure, or GCP)

• Nice-to-Have: Docker, Linux, DevOps exposure

Perks & Benefits:

• Blue Cross Blue Shield Healthcare

• Unlimited PTO + 11 paid holidays

• Catered lunch on Fridays

• Equity options negotiable for standout candidates

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AI Engineer / ML Engineer – CRYPTO – REMOTE

We are collaborating with a cryptocurrency analytics firm that assists clients in identifying market opportunities, conducting due diligence, and protecting portfolios. The company is expanding its strategic capabilities in AI & ML.

They are seeking a skilled and driven Senior AI/ML Engineer to join their team. In this position, you will design and manage AI models to process extensive blockchain data, identifying patterns and insights that guide decision-making for cryptocurrency investors. As a Senior AI/ML Engineer, your work will be essential in enhancing the platform’s functionality, ensuring the delivery of a cutting-edge product to users. Your expertise will be instrumental in influencing the technology’s evolution and solidifying the company’s status as a leader in blockchain analytics.

You will need:

• Spearhead the design, implementation, and deployment of AI/ML models to analyze blockchain data, ensuring optimal performance and scalability.
• Work alongside product managers and engineers to integrate AI/ML models into the platform, boosting its analytical capabilities and enhancing the user experience.
• Stay up-to-date with the latest advancements in AI/ML and blockchain technologies, applying creative solutions to tackle complex challenges.
• Mentor junior engineers and foster best practices in AI/ML development within the team.
• Collaborate with cross-functional teams to ensure AI/ML projects align with business goals and customer requirements.

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SENIOR MACHINE LEARNING ENGINEER
REMOTE (OR HYBRID IN NYC IF PREFERRED)
$200K BASE + EQUITY + PERFORMANCE BONUS

THE COMPANY
My client is a high-growth startup transforming digital advertising-replacing black-box tools with transparent, customizable AI systems. Their platform gives brands full control of their data while using LLMs to unlock deep insights, automate decisions, and optimize campaigns across multiple platforms in real time. Backed by major partners and expanding globally, they’re scaling a lean tech team with a mandate to move quickly and build things that actually work.

THE ROLE
This is a senior-level hire focused on developing, optimizing, and deploying machine learning solutions-especially around LLMs and foundational models. You’ll work with large-scale systems, refine embedding pipelines, and help cut model runtime significantly. Expect real ownership, zero corporate fluff, and the chance to work on AI that’s actually applied to business-critical problems.

WITHIN YOUR FIRST 90 DAYS, YOU’LL:

• Work on demographic & behavioral data (e.g., product recommendations)

• Use LLMs to build predictive models

• Optimize neural network performance

• Help consolidate and streamline embedding workflows

• Build scalable pipelines for production

• Reduce model runtime in a measurable way

THE STACK
AWS | Databricks | Snowflake | Hugging Face | GraphQL/REST/gRPC APIs | Python (object-oriented, production-ready code)

ABOUT YOU

• 5+ years of industry experience, ideally with a Master’s or PhD in CS, Stats, or a related field

• Comfortable with large-scale systems and deploying ML models into production

• Strong experience working with LLMs and foundational models

• Skilled in model monitoring, testing, and evaluation

• Experience mentoring junior engineers is a bonus

• Advertising experience is helpful but not essential

• You care about writing clean, maintainable code and thrive in collaborative environments

WHY JOIN?

• $200k base + equity + performance bonus

• Unlimited PTO

• Remote-first with ~5 hours EST overlap (hybrid NYC optional)

• High-growth startup with a collaborative, low-ego culture

• Real impact on product, roadmap, and scaling

• No corporate red tape-just smart people building good tech

• Support for continued education and upskilling

• Two off-sites per year to connect in person

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Senior Machine Learning Engineer – Remote

We are looking for a highly skilled Machine Learning Engineer with strong ML Ops expertise to help design, build, deploy, and manage machine learning pipelines in production environments. The ideal candidate will have a strong foundation in machine learning algorithms, deep learning, data engineering, and experience in automating the deployment, monitoring, and scaling of models through ML Ops practices.

Responsibilities:

• Model Development: Design and develop machine learning models to solve complex problems using a variety of algorithms, including supervised, unsupervised, and reinforcement learning techniques.
• ML Ops Implementation: Develop and deploy ML workflows, integrating version control, automation, and monitoring practices to streamline model development and deployment.
• Pipeline Development: Build and maintain end-to-end machine learning pipelines for continuous integration, continuous deployment (CI/CD), and model retraining.
• Automation: Automate model training, testing, and deployment processes, ensuring high levels of efficiency and reliability in production.
• Model Optimisation: Collaborate with data scientists and engineers to optimise models for production environments, focusing on scalability, speed, and resource efficiency.
• Cloud Integration: Utilise cloud platforms (e.g., AWS, Azure, GCP) for model deployment and infrastructure management, ensuring smooth scaling and resource optimisation.
• Documentation: Maintain clear and comprehensive documentation for model workflows, ML Ops processes, and system architectures.

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Senior Machine Learning Engineer

$200,000-$220,000

New York Metro Area – Hybrid

We are collaborating with a fast-moving start up focused on developing AI-powered solutions for cloud optimization and automation. Their technology enhances cost forecasting, financial modelling, and multicloud infrastructure management. As they scale, they are looking for top talent to drive innovation and build AI systems that make an impact.

THE ROLE

Seeking a Senior Machine Learning Engineer to play a key role in developing and deploying AI solutions. This is a hands-on, senior-level position for someone with experience building ML-powered products from the ground up. The ideal candidate will work closely with leadership to shape an AI assistant, optimize cloud resources, and implement cutting-edge machine learning techniques.

RESPONSIBILITIES

• Design, build, and deploy machine learning models for cloud automation and optimization
• Work with large language models (LLMs), fine-tuning and integrating them into the platform
• Develop AI-driven, customer-facing solutions to enhance automation and efficiency
• Ensure secure and compliant AI deployments, implementing best practices for AI infrastructure
• Maintain and optimize ML infrastructure across AWS, GCP, and Azure
• Experiment with advanced ML techniques, including model security, evaluation frameworks, and continuous monitoring
• Collaborate with engineering, product, and leadership teams to align AI development with business objectives
• Provide strategic input on AI capabilities and contribute to the company’s overall AI roadmap

YOUR BACKGROUND

• 6+ years of experience
• Strong Python programming skills; experience with Go or SQL is a plus
• Expertise in ML frameworks such as PyTorch, Hugging Face, LangChain, and Llama
• Experience deploying ML models at scale in cloud environments
• Proficiency with Terraform and Git for infrastructure management and version control
• Deep understanding of AI security risks and best practices for secure deployment
• Ability to work in a fast-paced startup environment and take projects from 0 to 1
• Strong analytical background with the ability to interpret complex cost and financial modeling data
• Excellent communication skills, capable of clearly conveying methodologies, solutions, and results to technical and non-technical stakeholders

HOW TO APPLY

If you believe you are a good fit given the above qualifications, send your resume to Grace via the link below.

KEYWORDS

Machine Learning, AI, LLMs, Cloud Optimization, AWS, GCP, Azure, AI Security, ML Infrastructure, AI Chatbots, Terraform, PyTorch, Hugging Face, LangChain, Financial Modeling, Cloud Automation, Startup, Tech Hiring, Data Science, Model Deployment, AI Strategy

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Staff Machine Learning Engineer

$220,000 – $260,000 (Base + Bonus)
Remote (NYC preferred, hybrid available)

About the Company

Imagine a future where AI doesn’t just assist in marketing-it drives it. That’s what we’re building.

Our client is leading the transformation of AI-powered marketing, helping global brands optimize ad spend, automate decision-making, and scale effortlessly. Backed by a world-class ML and Data Science team, we’re evolving beyond a traditional agency into a full-stack AI powerhouse, delivering cutting-edge solutions in LLMs, Diffusion Models, and predictive analytics.

If you want to work on AI that makes a measurable impact-think billions in ad spend optimized in real time-this is where you want to be.

The Role

We’re looking for a Staff Machine Learning Engineer to build, fine-tune, and deploy AI models at scale. You’ll be working with LLMs, Diffusion Models, and advanced predictive analytics to optimize ad performance, automate campaigns, and solve complex problems in marketing AI.

This is a hands-on role where you’ll collaborate with top engineers, data scientists, and product leaders to ship real AI solutions-fast.

What You’ll Do

• Develop and fine-tune LLMs, Diffusion Models, and predictive ML models to optimize ad performance.
• Design and deploy scalable AI solutions that automate campaign creation, optimization, and decision-making.
• Collaborate cross-functionally to integrate AI-driven automation into marketing systems.
• Work in a high-impact, fast-moving environment where your models go live and deliver real results.
• Solve complex challenges at the intersection of AI, advertising, and automation.

What You Bring

• Proven experience in ML/Data Science-no strict degree requirements, just real-world expertise.
• Strong experience with Python, TensorFlow, PyTorch, and model deployment.
• Background in LLM fine-tuning, diffusion models, and predictive analytics.
• Experience shipping ML products at scale-bonus points if you’ve done it at a FAANG or top AI-driven company.
• Preference for NYC-based candidates (4 days/week in office), but remote-friendly for the right fit.

The Perks

• Unlimited vacation
• Monthly telephone stipend
• Comprehensive medical, dental, and vision insurance
• 401(k) with matching
• Hybrid work option (NYC preferred)
• Professional development stipend
• Seamless meal allowance

How to Apply

Ready to build AI that transforms marketing? Send your resume to Cassie Wandell via the Apply link on this page.

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Staff Machine Learning Engineer – AdTech
REMOTE
$220,000 – $240,000 + Bonus + Comprehensive Benefits

THE OPPORTUNITY

Join a cutting-edge, rapidly growing advertising technology company that’s on the forefront of transforming the digital marketing landscape. This company has developed an innovative product leveraging AI to deliver real-time, revenue-generating customer insights. As they scale, they’re looking for an exceptional Machine Learning Engineer to drive the next wave of groundbreaking projects, solve complex challenges, and lead impactful initiatives within the adtech space. If you’re passionate about the intersection of machine learning and advertising, this is your chance to make a real difference.

WHAT YOU’LL DO

• Own End-to-End ML Projects: Develop and deploy advanced machine learning models that optimize and enhance real-time bidding and auction engines. Take full ownership of the lifecycle of these projects, from inception to deployment.
• Discover Industry Trends: Drive initiatives to uncover valuable trends, patterns, and opportunities within the advertising industry that will directly influence product development.
• Strategic Impact: Play a key role in shaping the company’s ML strategy and contribute to high-level decision-making.
• Cross-Functional Collaboration: Work closely with engineering, product, marketing, and advertising teams to align on objectives and deliver innovative solutions.
• Mentor and Lead: Guide junior team members, provide mentorship, and foster a culture of learning and collaboration within the team. Be the go-to expert for technical leadership and business alignment.
• Be a Thought Leader: Serve as the subject matter expert in machine learning within the business and present insights to stakeholders to drive business outcomes.

WHAT YOU BRING TO THE TABLE

• Advanced Degree: MS or PhD in Computer Science, Statistics, Mathematics, or related STEM fields.
• Extensive Experience: 5-7 years of hands-on commercial experience in machine learning, with a track record of owning and leading projects end-to-end.
• AdTech/MarTech Expertise: Experience within the advertising or marketing technology sectors is a big plus.
• Proven Leadership: A history of leading impactful machine learning projects that directly contributed to revenue growth and operational success.
• Advanced Technical Skills: Expertise in Python (including statistical packages), TensorFlow, PyTorch, or Keras. Experience with real-time bidding (RTB) and auction engines is highly valued.
• Consumer Data Expertise: Ability to work with and understand customer/consumer data to drive insights and model improvements.
• Collaborative and Autonomous: Comfortable taking initiative in autonomous settings while also thriving in collaborative, cross-functional teams.
• Innovative Thinker: Proven ability to bring fresh, outside-the-box thinking to complex problems, especially in fast-paced and evolving environments.

WHAT YOU’LL GET IN RETURN

• Competitive Compensation: Attractive base salary ($220,000 – $240,000), bonus potential, and a robust benefits package.
• Impactful Work: Be part of a company that’s reshaping the AdTech landscape with cutting-edge AI technology.
• Remote Flexibility: Work from anywhere while collaborating with top-tier professionals.
• Growth & Learning: Opportunity to take on leadership roles, mentor others, and expand your skill set within a rapidly scaling company.
• Comprehensive Benefits: Enjoy a generous package that includes health benefits, paid time off, and more.

READY TO JOIN A WINNING TEAM?

If you’re ready to lead in the machine learning space and make an immediate impact in the advertising world, we want to hear from you! Click Apply to submit your CV and take the next step in your career.

KEY TERMS:

Data Science | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real-Time Bidding | Auction Engines | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engines | Personalization | Innovation | Thought Leadership | Remote

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THE COMPANY

My client is a fast-growing private equity firm with a portfolio of billion-dollar companies. They are hiring a Lead Machine Learning Engineer to drive AI and machine learning initiatives, building advanced models that support both internal operations and client strategies. This role offers the opportunity to take ownership of key AI projects while mentoring junior team members.

THE ROLE

As a Lead ML Engineer, you will:

• Develop and deploy machine learning and NLP/LLM models for business transformation.
• Work closely with internal teams and clients to implement AI-driven solutions.
• Lead AI initiatives across investment risk, compliance, and automation.
• Guide and mentor junior engineers while collaborating with senior stakeholders.
• Help design AI strategies that enhance business performance and uncover new opportunities.

YOUR SKILLS & EXPERIENCE

The ideal candidate will have:

• 6+ years of experience in AI/ML development.
• A degree in a quantitative or STEM field.
• Strong ability to communicate technical concepts to non-technical stakeholders.
• Experience leading ML projects and mentoring junior team members.
• Expertise in NLP, including text summarization, classification, and entity extraction.
• Proficiency in Python and NLP libraries (spaCy, NLTK, gensim, BERT, etc.).
• Familiarity with cloud platforms (Azure preferred but not required).
• Exposure to data visualization tools.
• Consulting experience is a plus.

THE BENEFITS

• Competitive base salary of $200,000-230,000
• Bonus and full benefits package
• Opportunity to lead AI-driven initiatives in a high-growth firm

HOW TO APPLY

Register your interest by sending your resume to Jack Wolf via the Apply link on this page.

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THE COMPANY

My client is a frontier AI research organization on a mission to make LLM technology cheaper and more accessible. Fresh off a high-seven-figure seed funding round, they’re looking for a Head of Machine Learning to build their AI function from the ground up. This is an opportunity to drive the next wave of AI innovation at the frontier of reinforcement learning and large language models.

THE ROLE

As the founding Head of Machine Learning, you’ll work directly with the co-founders to lead applied ML research in reinforcement learning and LLM technology. You’ll build novel AI systems from scratch, designing feedback loops that translate research into real-world impact.

WHO YOU ARE

• Experienced tech lead in LLMs or reinforcement learning, with experience building AI systems from the ground up.

• PhD preferred but not required.

• Active contributor to open source AI projects.

• Thrives in a fast-paced, research-driven environment.

• Passionate about shaping the future of AI.

WHAT WE OFFER

• $245,000 – $260,000 USD/YR

• Significant equity potential (up to 1%)

• Full benefits package (401k, medical, dental, etc.)

HOW TO APPLY

Register your interest through the application link.

PLEASE NOTE: This role is not open to Corp-to-Corp (C2C) arrangements. Applications are accepted for direct hire or W-2 contractors only.

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Senior Machine Learning Engineer

$160,000 – $200,000

Hybrid – Boston, MA

My client is a non-profit, government-funded research organization that is advancing national security and providing independent advice on matters of public interest. With a significant portion of the American public expressing skepticism about AI, they are dedicated to changing that narrative and fostering trust in AI technologies.

This role will be on the Trusted and Secure AI team, where the mission is to develop AI products and services that enhance collective societal well-being. They are seeking a Senior AI Security Engineer to provide technical leadership and drive innovation in the development of secure AI/ML solutions, with a specific focus on large language models (LLMs)

The Role

• Analyze AI use cases to recommend secure and trustworthy solutions to sponsors.
• Prototype AI and LLM-based tools to meet operational needs.
• Evaluate technology solutions in the context of mission data and workflows, providing actionable recommendations.
• Communicate complex ideas to non-technical audiences through briefings and white papers.
• Lead or significantly contribute to projects aimed at solving complex AI security problems for our sponsors.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; an advanced degree (Master’s or PhD) is strongly preferred.

• Security clearance required (TS/SCI preferred; candidates must be able to obtain clearance if not currently held).

• Strong emphasis on thought leadership-publications and experience in an academic setting are highly valued.
• Proven experience with prototyping, LLMs, and building databases or data pipelines. Candidates should be comfortable and excited about creating solutions from scratch.
• Demonstrable experience with LLMs, particularly in innovative applications beyond typical chatbot implementations.

THE BENEFITS

A competitive base salary of $160,000-$200,000 will be offered (dependent on experience) + Equity + Benefits

HOW TO APPLY

Please register your interest by sending your Resume to Cassie Wandell via the Apply link on this page

KEYWORDS

MLOps | Machine Learning | AI | TensorFlow | Deep Learning | AWS | PyTorch | Edge Computing | Agile | Python | Hadoop | Java | C | API | TSSCI | Big Data | Statistics | Bayesian

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VP of Machine Learning Platforms

Hybrid – NYC Metro Area

$210,000-$230,000

CLIENT

Our client is a leading innovator in the financial sector, leveraging cutting-edge technology and engineering solutions to drive impactful business outcomes by integrating advanced systems, data, and ideas.

As a VP of Machine Learning Platforms, you will oversee the development and management of Python programming and AI/ML runtime environments. This includes building a robust Python user community, delivering tools to streamline user workflows, and leading the development of foundational runtime environments that support state-of-the-art AI/ML models using advanced GPU hardware and multi-cloud platforms.

THE ROLE

• Define and implement a strategic vision for Python and AI/ML runtime platforms.
• Lead, mentor, and develop a high-performing engineering team specializing in Python and MLOps.
• Drive collaboration and innovation to foster a culture of continuous improvement.
• Work with stakeholders and industry leaders to design scalable, containerized runtime environments for AI/ML models.
• Apply MLOps and CI/CD principles to create fully automated build and deployment pipelines.
• Ensure smooth integration and performance of AI/ML frameworks on Unix-based systems and GPU-supported environments.
• Develop user resources, such as example notebooks, to demonstrate effective AI/ML framework utilization.
• Promote best practices for MLOps and advocate for adopting the latest advancements in AI/ML software and technologies.

YOUR SKILLS AND EXPERIENCE

• Proficiency in Python for machine learning or application development.
• Expertise in building and maintaining containerized runtime environments for data science and machine learning.
• Strong leadership experience with a proven ability to guide and develop engineering teams.
• Solid knowledge of Unix-based systems, CI/CD pipelines, and GPU-supported runtime environments (e.g., CUDA).
• Advanced understanding of Python frameworks, tools, and packages.
• Familiarity with containerization tools (e.g., TensorRT, ONNX, MPI, DeepSpeed) and orchestration platforms like Kubernetes.
• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) and public cloud platforms (e.g., AWS, GCP).
• Exceptional problem-solving skills and the ability to thrive in dynamic environments.
• Strong communication skills to articulate technical concepts to diverse audiences.

BENEFITS

• Competitive base salary: $210,000-$230,000 (dependent on experience)
• Performance-based bonus and comprehensive benefits package

HOW TO APPLY

Submit your resume to Grace McCarthy via the “Apply” link on this page

KEYWORDS

MLOps | Machine Learning | AI | TensorFlow | Deep Learning | AWS | PyTorch | Python | Financial Data | Platform | Deployment | CI/CD | Containerization | Infrastructure

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Machine Learning Engineer

Florida (Hybrid or Remote options available)

$200-350k (Dependent on experience)

A rapidly growing start-up that is focused on AI and ML learning to develop cutting edge solutions is looking for an end-to-end machine learning engineer

Role:

• Design, build, and deploy state-of-the-art large language models (LLMs) that drive our AI solutions.
• Fine-tune and optimize existing LLM architectures for production-grade applications.
• Work with a team of data scientists, engineers, and product managers to deliver scalable AI solutions.
• Develop and maintain ML pipelines, ensuring robust and efficient model performance.
• Collaborate on integrating LLMs into customer-facing products and ensuring seamless deployment to production.
• Continuously research and implement best practices in the LLM field to stay ahead of the competition.
• Monitor, test, and troubleshoot models to ensure they meet performance standards.

Your Skills & Experience:

• 3+ years of experience in machine learning engineering, with a strong focus on LLMs (e.g., GPT, BERT, T5, etc.).
• An advanced degree (PHS, Masters) in Computer Science or STEM.
• Hands-on experience building and fine-tuning large language models for real-world applications.
• Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face).
• Strong programming skills in Python, and familiarity with other relevant languages (e.g., Java, C++).
• Experience deploying machine learning models in production, including containerization and cloud platforms (AWS, GCP, Azure).
• Solid understanding of model evaluation, performance metrics, and model optimization techniques.
• Familiarity with NLP techniques, transformers, and modern LLM architectures.
• A passion for AI and a commitment to delivering high-quality, innovative solutions.
• Full right to work in the U.S.

Apply Below

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