DATA & ai RECRUITERS IN DETROIT

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Senior Staff Machine Learning Engineer

Remote

Up to $350,000 + Equity

Company:

A fast-growing, mission-driven tech company in the behavioral modeling and personalization space is seeking a Senior Staff/Technical Lead Machine Learning Engineer to join and lead a team. Their platform leverages one of the largest consented behavioral datasets in the US to deliver private-by-design AI solutions for top global brands and platforms.

The team is made up of seasoned ML professionals from Top Companies, and they are partnered with major cloud providers to bring novel AI products to market. This role will be central to building and scaling ML-powered products, with a focus on ad optimization and recommendation systems.

Role:

• Design, build, and deploy end-to-end machine learning models focused on ad optimization, personalization use cases and recommendation systems.
• Develop ML pipelines and production systems that leverage rich behavioral signals to drive user value and business ROI.
• Partner with product and R&D teams to ideate and execute on high-impact, ML-first product strategies.
• Lead experimentation and model evaluation in a fast-paced, data-rich environment.
• Contribute to the development of scalable infrastructure using tools like Airflow, Spark, and CI/CD platforms.
• Work cross-functionally to bring zero-to-one ML products to market and continuously refine them post-launch.
• Stay on the pulse of emerging ML techniques in RecSys, behavioral modeling, and model optimization.

Requirements:

• MSc or PhD in a STEM field.
• Proven experience building and deploying machine learning systems in a commercial setting.
• Strong background in AdTech or recommender systems (RecSys) – with a clear understanding of personalization, targeting, or user intent modeling.
• Hands-on experience with orchestration tools (Airflow, Bazel), data infrastructure (Spark, SQL, Scala, or Python).
• DevOps knowledge including CI/CD best practices and production model monitoring.
• Familiarity with cloud platforms (AWS, Databricks) and ML tooling (MLFlow, TensorFlow, Kubernetes).
• Strong collaboration and communication skills, with a product-oriented mindset.
• A bias toward action and a “roll up your sleeves” attitude-ideal for a dynamic startup environment.

Salary and Benefits:

• $300,000 – $350,000 base salary
• Meaningful Equity & Financial Upside
• Fully Remote (with hybrid options in Boston, SF Bay Area, Seattle, NYC)

How to Apply:

Please register your interest by submitting your CV via the Apply link on this page.

Desired Skills and Experience:

Machine Learning Engineering, AdTech, Personalization, Recommender Systems, MLOps, CI/CD, Airflow, Spark, Python, AWS

To Apply for this Job Click Here

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ML OPS ENGINEER – RELOCATION TO BARCELONA

We are working with an incredible start up company who have just gained pre-seed funding to join the team as a ML Ops Engineer. The role does require relocation to Barcelona.

Requirements:

• 5+ years ML Ops experience
• AWS & GCP
• Docker & Kubernetes
• Open to relocation

To Apply for this Job Click Here

To Apply for this Job Click Here

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

To Apply for this Job Click Here

To Apply for this Job Click Here

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

To Apply for this Job Click Here

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Machine Learning – NLP & LLMs

Location: Fully Remote
Compensation: $300,000 – $325,000 base salary + performance bonus + equity

ABOUT THE COMPANY

We are partnered with a high-growth company at the intersection of AI, legal tech, and financial services, fundamentally transforming how regulated industries leverage language models and machine learning. This organization is building sophisticated NLP/LLM systems to streamline complex workflows for legal and financial professionals.

With executive-level support and increasing product demand, they’re seeking a Director of Machine Learning to lead strategy, research, and engineering execution across NLP and LLM initiatives. This is a rare opportunity to drive technical vision, shape an elite ML team, and build impactful AI systems from the ground up in a regulated space.

THE ROLE

As Director of Machine Learning, you’ll be responsible for setting the long-term machine learning roadmap, leading technical teams, and ensuring the successful development and deployment of scalable NLP solutions. You will report directly to the Head of AI and work closely with executive leadership, product, and engineering.

Key Responsibilities:

• Strategic Leadership: Define the ML vision and roadmap for NLP and LLM-based solutions, aligned with company goals and customer needs.

• Team Building & Management: Hire, mentor, and manage a team of ML engineers and applied scientists. Foster a high-performing, collaborative environment.

• Technical Oversight: Guide end-to-end model development-from research and prototyping through production deployment, performance monitoring, and continuous optimization.

• Cross-Functional Influence: Collaborate with product, legal, engineering, and design teams to translate business needs into scalable AI solutions.

• Innovation: Stay ahead of the curve in LLM research and NLP advancements. Evaluate and implement new technologies and tools to maintain technical edge.

• Thought Leadership: Represent the company in industry discussions, conferences, and partner conversations. Champion best practices in ethical and responsible AI.

• Operational Excellence: Ensure strong MLOps foundations are in place, including CI/CD, data governance, model monitoring, and security practices.

YOUR SKILLS AND EXPERIENCE

Required Qualifications:

• 10+ years of experience in machine learning and software engineering, with at least 4+ years in a leadership or managerial role.

• Demonstrated success building and leading teams that develop and deploy NLP/LLM models at scale.

• Deep expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow), and modern NLP tools (e.g., Hugging Face Transformers, spaCy).

• Experience designing and implementing ML systems in production, especially with large language models (e.g., GPT, BERT, T5).

• Proven ability to align technical initiatives with business goals, working cross-functionally with product and exec teams.

• Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable ML pipelines.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; PhD preferred.

• Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus.

THE BENEFITS

• Executive-Level Compensation: $300,000 – $325,000 base + bonus + equity potential.

• Remote-First Culture: Work from anywhere in the United States or Canada.

• Elite Talent Environment: Collaborate with top-tier researchers, engineers, and domain experts.

• Comprehensive Benefits: Full health, dental, vision, 401(k), and wellness programs.

• Strategic Impact: Lead a core function at the center of the company’s long-term success.

HOW TO APPLY

Submit your resume to Tim Jonas via the Apply link on this page. We’re excited to connect with experienced ML leaders ready to guide cutting-edge AI development in a deeply impactful space.

KEYWORDS:
Director | Machine Learning | NLP | LLMs | AI Leadership | ML Strategy | Deep Learning | Natural Language Processing | AI Platforms | MLOps | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Machine Learning Engineer – NLP & LLMs (Mid-Level)

Location: Fully Remote

Compensation: $180,000 – $210,000 base salary + bonus + benefits

ABOUT THE COMPANY

We’re working with a cutting-edge financial services company transforming the legal space through advanced AI. Their mission: to make legal and financial workflows smarter, faster, and more cost-effective by leveraging the latest in natural language processing and machine learning. As they continue to expand their AI capabilities, they’re seeking a Machine Learning Engineer (Mid-Level) to join their growing NLP/LLM team.

This is a great opportunity for someone with solid production-level ML experience who wants to take the next step-working closely with seasoned researchers, engineers, and product leaders to build next-generation AI systems in a high-impact domain.

THE ROLE

As a Machine Learning Engineer, you’ll contribute to the development, deployment, and optimization of NLP models and AI infrastructure. You’ll be responsible for translating cutting-edge research into scalable, production-ready systems and collaborating with teams across engineering, research, and product.

Key Responsibilities:

• Model Development & Integration: Work with senior engineers and researchers to develop and integrate LLMs and NLP models into customer-facing products.
• Production-Ready Code: Build and maintain model pipelines that are scalable, testable, and efficient.
• Data Engineering: Help design and manage data pipelines, labeling workflows, and model training datasets.
• Model Tuning & Evaluation: Assist in prompt engineering, fine-tuning, evaluation, and benchmarking of NLP models.
• Collaboration: Partner with applied scientists and product teams to deliver end-to-end features powered by machine learning.
• Learning & Growth: Expand your skills through mentorship and exposure to cutting-edge NLP/LLM work and tooling.

YOUR SKILLS AND EXPERIENCE

We’re looking for a motivated engineer with a strong foundation in machine learning and an eagerness to grow within a fast-moving team.

Required Qualifications:

• 3-5 years of professional experience building and deploying ML models (with at least 2 years focused on NLP).
• Proficient in Python and familiar with ML libraries like TensorFlow, PyTorch, spaCy, or Hugging Face Transformers.
• Experience with model training, evaluation, and deployment in cloud environments (e.g., AWS, GCP, or Azure).
• Comfortable working with large datasets, data preprocessing, and version control tools (e.g., Git, DVC).
• Knowledge of modern NLP concepts and language model architectures (e.g., BERT, GPT, T5).
• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s a plus).

Bonus Points For:

• Experience with MLOps tools (e.g., MLflow, Airflow, Kubernetes).
• Previous work with legal, financial, or highly regulated data.
• Contributions to open-source NLP tools or public research.

BENEFITS

• Competitive Compensation: $180,000 – $210,000 base + bonus.
• Flexible & Remote: Work from anywhere in the United States or Canada.
• Health & Wellness: Comprehensive medical, dental, vision, and 401(k).
• Professional Growth: Work alongside experienced engineers and researchers in a high-learning environment.
• Impact: Contribute to real-world AI products used by professionals in law and finance.

HOW TO APPLY

Send your resume to Tim Jonas via the Apply link on this page. We’re excited to meet engineers who want to build meaningful, AI-driven systems in a space that matters.

KEYWORDS:

Machine Learning | NLP | LLM | Deep Learning | Generative AI | Model Deployment | Python | PyTorch | TensorFlow | Hugging Face | Prompt Engineering | ML Pipelines | Legal Tech | Financial Services | AI Infrastructure | Mid-Level Engineer | Scalable AI Systems

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Machine Learning Engineer – NLP & LLMs

Location: Fully Remote
Compensation: $250,000 – $275,000 base salary + bonus + benefits

ABOUT THE COMPANY

We are partnered with a market leader in the legal and financial services industry, driving innovation through AI. This company is revolutionizing how professionals interact with data by integrating cutting-edge NLP and LLM technologies. As their platform scales, they are seeking a highly skilled Machine Learning Engineer to take the lead in developing, deploying, and optimizing advanced AI models that directly impact high-value, high-regulation environments.

This is an opportunity to build mission-critical systems from the ground up and work alongside some of the top minds in AI and law.

THE ROLE

As a Staff Machine Learning Engineer, you will work closely with researchers and the C-suite to design and implement robust machine learning infrastructure and end-to-end NLP/LLM pipelines. You will bridge the gap between experimentation and scalable deployment, contributing to the full lifecycle of AI products.

Your Responsibilities Will Include:

• Model Deployment & Scaling: Engineer and deploy large-scale NLP and LLM models for production environments.

• Infrastructure & Tooling: Build and maintain data pipelines, training workflows, and inference systems optimized for low-latency and high-accuracy.

• End-to-End Development: Take PoCs from research stage to production-grade systems, focusing on performance, reliability, and maintainability.

• Optimization: Improve existing model architectures and fine-tune LLMs using retrieval-augmented generation (RAG), prompt tuning, quantization, and efficient inference techniques.

• Collaboration: Partner with Applied Scientists, Legal SMEs, and Product Leaders to align technical solutions with business and user needs.

• Code Quality: Write clean, scalable, and well-documented code using industry best practices.

YOUR SKILLS AND EXPERIENCE

We are looking for an experienced and versatile Staff Machine Learning Engineer with the following qualifications:

• 5+ years of experience deploying NLP and ML models in production environments.

• Strong software engineering background in Python, with experience using frameworks like TensorFlow, PyTorch, spaCy, Hugging Face Transformers, and more.

• Demonstrated ability to scale models and build distributed training/inference systems.

• Experience working with large datasets and knowledge of data pipelines, MLOps tools (e.g., MLflow, Kubeflow, Airflow), and cloud infrastructure (AWS, GCP, or Azure).

• Deep understanding of NLP concepts and LLM architectures (BERT, GPT, T5, etc.).

• Comfortable working cross-functionally with researchers, product teams, and senior leadership.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (PhD a plus, but not required).

• Bonus: Contributions to open-source NLP projects or publications in applied ML conferences (NeurIPS, ACL, EMNLP, etc.)

BENEFITS

• Top-Tier Compensation: Base salary of $250,000 – $275,000 + annual bonus.

• Fully Remote: Work from anywhere in the United States.

• Ownership: End-to-end responsibility for the models and systems you help build.

• Health & Retirement: Comprehensive medical, dental, vision, and 401(k) plans.

• Research-Driven Culture: Collaborate with world-class researchers and engineers solving impactful real-world problems.

HOW TO APPLY

Interested applicants should submit their resume to Tim Jonas via the Apply link on this page. We look forward to seeing how your engineering skills can help shape the future of legal and financial AI systems.

KEYWORDS:
Machine Learning | ML Engineering | NLP | LLMs | Deep Learning | Large Language Models | MLOps | Python | PyTorch | Hugging Face | TensorFlow | Cloud Infrastructure | Distributed Systems | RAG | Prompt Engineering | AI Platforms | Legal Tech | Financial Services | Applied ML | Model Deployment

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Staff Machine Learning Engineer

Remote

Up to $350,000 + Equity

Company:

A fast-growing, mission-driven tech company in the behavioral modeling and personalization space is seeking a Senior Staff/Technical Lead Machine Learning Engineer to join and lead a team. Their platform leverages one of the largest consented behavioral datasets in the US to deliver private-by-design AI solutions for top global brands and platforms.

The team is made up of seasoned ML professionals from Top Companies, and they are partnered with major cloud providers to bring novel AI products to market. This role will be central to building and scaling ML-powered products, with a focus on ad optimization and recommendation systems.

Role:

• Design, build, and deploy end-to-end machine learning models focused on ad optimization, personalization use cases and recommendation systems.
• Develop ML pipelines and production systems that leverage rich behavioral signals to drive user value and business ROI.
• Partner with product and R&D teams to ideate and execute on high-impact, ML-first product strategies.
• Lead experimentation and model evaluation in a fast-paced, data-rich environment.
• Contribute to the development of scalable infrastructure using tools like Airflow, Spark, and CI/CD platforms.
• Work cross-functionally to bring zero-to-one ML products to market and continuously refine them post-launch.
• Stay on the pulse of emerging ML techniques in RecSys, behavioral modeling, and model optimization.

Requirements:

• MSc or PhD in a STEM field.
• Proven experience building and deploying machine learning systems in a commercial setting.
• Strong background in AdTech or recommender systems (RecSys) – with a clear understanding of personalization, targeting, or user intent modeling.
• Hands-on experience with orchestration tools (Airflow, Bazel), data infrastructure (Spark, SQL, Scala, or Python).
• DevOps knowledge including CI/CD best practices and production model monitoring.
• Familiarity with cloud platforms (AWS, Databricks) and ML tooling (MLFlow, TensorFlow, Kubernetes).
• Strong collaboration and communication skills, with a product-oriented mindset.
• A bias toward action and a “roll up your sleeves” attitude-ideal for a dynamic startup environment.

Salary and Benefits:

• $300,000 – $350,000 base salary
• Meaningful Equity & Financial Upside
• Fully Remote (with hybrid options in Boston, SF Bay Area, Seattle, NYC)

How to Apply:

Please register your interest by submitting your CV via the Apply link on this page.

Desired Skills and Experience:

Machine Learning Engineering, AdTech, Personalization, Recommender Systems, MLOps, CI/CD, Airflow, Spark, Python, AWS

To Apply for this Job Click Here