ml engineer

Catalyst Labs

<div>
 <strong>
  About The Job ML Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Our Client
  <br/>
  <br/>
 </strong>
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
 <br/>
 <br/>
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
 <br/>
 <br/>
 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
 <br/>
 <br/>
 <strong>
  Location
 </strong>
 : New York, NY
 <br/>
 <br/>
 <strong>
  Work type
 </strong>
 : Full Time,
 <br/>
 <br/>
 <strong>
  Compensation
 </strong>
 : above market base + bonus + equity
 <br/>
 <br/>
 <strong>
  Roles &amp; Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
  </li>
  <li>
   Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
  </li>
  <li>
   Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
  </li>
  <li>
   Build agents capable of operating natively on real-world audio inputs.
  </li>
  <li>
   Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
  </li>
  <li>
   Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
  </li>
  <li>
   Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
  </li>
  <li>
   Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  </li>
  <li>
   1-6 years of professional experience in ML engineering.
  </li>
  <li>
   Strong programming skills in Python (TypeScript experience is a plus).
  </li>
  <li>
   Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  </li>
  <li>
   Familiarity with cloud environments and infrastructure (preferably AWS).
  </li>
  <li>
   Strong understanding of data pipeline design, real-time inference, and model monitoring.
  </li>
  <li>
   Excellent communication skills with the ability to engage directly with customers and stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven experience building and deploying ML models into production environments.
  </li>
  <li>
   Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
  </li>
  <li>
   Experience with audio-focused ML projects or similar domains involving unstructured data.
  </li>
  <li>
   Proficiency in building scalable data pipelines for model training and evaluation.
  </li>
  <li>
   Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
  </li>
  <li>
   Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
  </li>
 </ul>
</div>


ML Engineer

RZR Global Inc.

<div><p><b>Who are we?</b><br>
<br>
RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.</p><br>
<h4 class="jobSectionHeader"><b>
Role Overview</b></h4>
<p>
We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions.</p>
<h4 class="jobSectionHeader"><b>
Key Responsibilities</b></h4>
<ul>
<li><p>Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud.</p>
</li>
<li><p>Collaborate with senior data scientists and cross-functional teams (product, engineering, and analytics) to integrate models into production workflows.</p>
</li>
<li><p>Analyze the impact of integrating new data sources and features into our models.</p>
</li>
<li><p>Build and maintain data pipelines to process and prepare large datasets for model training and evaluation.</p>
</li>
<li><p>Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities.</p>
</li>
<li><p>Document experiments, assumptions, and outcomes; maintain reproducibility</p>
</li>
</ul><h4 class="jobSectionHeader"><b>Required Skills / Experience</b></h4>
<ul>
<li><p>Bachelor's or Master's degree in Mathematics, Physics, Computer Science, or a related technical field.</p>
</li>
<li><p>At least 1 year of professional experience in machine learning, statistical analysis, and data analysis.</p>
</li>
<li><p>Experience with machine learning techniques such as regression, classification, and clustering.</p>
</li>
<li><p>Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).</p>
</li>
<li><p>Strong grasp of probability, statistics, and data analysis principles.</p>
</li>
<li><p>Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.</p>
</li>
</ul><h4 class="jobSectionHeader"><b>Nice-to-Have</b></h4>
<ul>
<li><p>Familiarity with system programming languages including C++ and Rust is a plus.</p>
</li>
<li><p>Exposure to online inference systems, gRPC/REST model endpoints, or streaming features (Kafka/Flink)</p>
</li>
<li><p>Ad-tech familiarity: auction dynamics, pacing, fraud signals, creative personalization.</p></li></ul></div>

Machine Learning Engineer

PRAVAH

<div><h2 class="jobSectionHeader"><b>Staff Machine Learning Engineer, Computer Vision</b></h2><h3 class="jobSectionHeader"><br>
<b>
About Pravah</b></h3><p>
Pravah is building foundational intelligence for the electric grid. We apply modern machine learning to complex physical infrastructure problems spanning grid operations, weather, and geospatial systems.</p><p>
Our work sits at the intersection of computer vision, physical systems, and large-scale ML, with deployments across utilities in the United States and India. We leverage multimodal data - including satellite imagery, LiDAR, and street-level data - to build high-fidelity representations of grid assets and their surroundings.</p><p>
We are backed by Khosla Ventures, Pear VC, and Conviction.<br>
<br>
To know more about who we are, what we are building, and why we are excited read this Notion!<br>
https://pravah.notion.site/</p><p></p><h3 class="jobSectionHeader"><b>
The Role</b></h3><p>
We are hiring a Staff Machine Learning Engineer (Computer Vision) to lead the development of core perception and mapping systems for electric grid infrastructure.</p><p>
This is a high-ownership, high-ambiguity role focused on building systems that operate on large-scale, heterogeneous visual data. You will define technical direction, make key architectural decisions, and ship models that are deployed in production.</p><p>
Beyond core CV work, you will explore how state-of-the-art generative and vision architectures (e.g., ViTs, diffusion, flow matching) can be adapted to adjacent domains such as weather and spatiotemporal modeling.</p><p>
There is also an opportunity to contribute to frontier work suitable for publication, particularly in areas where existing methods do not translate cleanly to real-world physical systems.</p><p></p><h3 class="jobSectionHeader"><b>
What You&rsquo;ll Work On</b></h3><p>
Grid Mapping &amp; Infrastructure Understanding</p><ul><li><p>
Build and deploy models for object detection, segmentation, and instance-level understanding of grid assets and surroundings</p></li><li><p>
Work across satellite, aerial, street view, and LiDAR data to create unified representations of physical infrastructure</p></li><li><p>
Develop systems for depth estimation and spatial reasoning in complex real-world environments</p></li></ul><p><br>
Multimodal &amp; Foundation Models</p><ul><li><p>
Adapt and fine-tune vision transformers and related architectures for domain-specific tasks</p></li><li><p>
Build multimodal systems that combine visual, spatial, and structured data<br>
Design representations that generalize across geographies, data sources, and operating conditions</p></li></ul><p><br>
Applied Research &amp; New Directions</p><ul><li><p>
Bring state-of-the-art CV methods into production, bridging research and real-world deployment</p></li><li><p>
Explore the use of modern generative and vision architectures in weather and geospatial modeling applications</p></li><li><p>
Identify, prototype, and validate new approaches for modeling physical systems from visual data</p></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Who You Are</b></h3><ul><li><p>
6+ years of experience building and deploying machine learning systems, with a focus on computer vision</p></li><li><p>
Strong expertise in modern deep learning approaches, including:</p><ul><li><p>
Object detection and segmentation</p></li><li><p>
Vision transformers and/or generative modeling approaches</p></li><li><p>
Multimodal learning</p></li></ul></li><li><p>
Proven track record of taking systems from research to production at scale</p></li><li><p>
Strong engineering fundamentals and proficiency in Python and ML frameworks (e.g., PyTorch)</p></li><li><p>
Experience working with large-scale, real-world datasets (e.g., geospatial, satellite, LiDAR) is a strong plus</p></li><li><p>
Comfortable operating in ambiguous environments, reasoning from first principles, and driving technical direction with high ownership</p></li><li><p>
Demonstrated ability to produce high-quality technical work, whether through systems, research, or publications</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
What You&rsquo;ll Gain</b></h3><ul><li><p>
Ownership of core perception and mapping systems deployed in real-world grid operations</p></li><li><p>
Opportunity to work on hard, open-ended problems at the intersection of AI and physical infrastructure</p></li><li><p>
Ability to shape technical direction and contribute to frontier ML work</p></li><li><p>
Close collaboration with a deeply technical founding team</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Why This Role</b></h3><p>
This role sits at the frontier of applying modern computer vision to large-scale physical systems. Many of the problems we work on do not have established benchmarks or standard solutions. You will operate in settings where data is heterogeneous, ground truth is incomplete, and progress requires both technical depth and first-principles thinking.</p><p></p><p>
Compensation Range: $150K - $200K</p></div>

Staff Machine Learning Engineer (Computer Vision)

Uber

<div><b>About the Role
</b><br>
<br>
Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders.
<br>
<br>
We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team's technical direction and solve some of Uber's most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.
<br>
<br>
<b>What You Will Do
</b><ul><li>Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
</li><li>Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
</li><li>Collaborate with the team leads to set the team's technical direction and own its implementation, providing technical mentorship to junior engineers
</li><li>Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems
</li></ul><b>Basic Qualifications
</b><ul><li>Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
</li><li>4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
</li><li>Proficiency in programming languages such as Python, Scala, Java, or Go
</li><li>Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
</li><li>Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
</li><li>Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization)
</li></ul><b>Preferred Qualifications
</b><ul><li>Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
</li><li>Experience leading complex technical projects and influencing the scope and output of others
</li><li>Track record of translating ambiguous business problems into technical solutions and driving multi-functional projects
</li><li>Excellent communication skills to lead initiatives and collaborate effectively with cross-functional partners
</li>Experience in reinforcement learning and causal machine learning<br>
<li>
</li></ul><br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Sr Machine Learning Engineer, Pricing

Rocket Lawyer

<div><div><div><b>About Rocket Lawyer</b></div>
<div></div>
<div>We believe everyone deserves access to affordable and simple legal services. Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered.</div>
<div></div>
<div>We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company's history, to capture audiences worldwide. We are expanding our team to take on this challenge!</div></div><p><b>
About your role</b></p>
<p>
Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You'll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.</p>
<p>
We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features</li>
<li>Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models</li>
<li>Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products</li>
<li>Research and stay up-to-date with industry trends around generative AI and machine learning</li>
<li>Prototype product features to explore new AI capabilities and write clean, understandable code</li>
</ul>
<p><b>What you'll need</b></p>
<ul>
<li>Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.</li>
<li>Basic understanding of machine learning concepts and algorithms.</li>
<li>Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).</li>
<li>Interest or experience working with large language models (LLMs) and generative AI.</li>
<li>Strong programming skills in Python</li>
</ul><h3 class="jobSectionHeader"><b>A bonus if you have</b></h3>
<ul><li>Experience with backend Python frameworks like FastAPI, Flask, Django, etc.</li>
<li>Familiarity with vector databases.</li>
<li>Additional programming skills in languages such as Java, Kotlin, or NodeJS.</li>
<li>SQL knowledge.</li>
<li>Interest in building user-facing products.</li>
<li>Understanding of microservices architectures and distributed systems.</li>
</ul>
<p><b>Interview Process</b></p>
<ul>
<li>Recruiter Phone Screen</li>
<li>Hiring Manager Interview</li>
<li>Team Interview</li>
</ul><div><div><div><div><div><div><i>Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses.</i></div>
<div></div>
<div><i>All your information will be kept confidential according to EEO guidelines.
</i></div><div><i>You may request reasonable accommodations by sending an email to </i><i>hr@rocketlawyer.com</i><i>.</i></div>
<div></div>
<div><b>Location:</b> Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship.<br>
<b>Duration:</b> June 8, 2026 - August 14, 2026, working 40 hours per week</div>
<div></div>
<div><div><b>Compensation per hour by location:</b></div>
<ul><li>San Francisco Bay Area, CA: $50.00</li>
<li>California (outside of San Francisco Bay Area): $46.25</li>
<li>Colorado: $42.50</li>
<li>Utah, Arizona, and North Carolina: $40.00</li></ul><br>
</div>
</div></div></div></div></div><div></div><div><p>By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.</p></div></div>

AI/ML Intern

Kodiak

<div><div><p>Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.</p></div><div>
<p>
Kodiak is seeking Machine Learning Engineers focussing on model deployment to help build the intelligence that powers the Kodiak Driver. Our ML teams work across perception, prediction, planning, and AI infrastructure to turn real-world driving data into models that enable safe and scalable autonomous trucking.</p>
<p>
In this role, you will design and deploy machine learning systems that improve our vehicles' ability to understand the world, predict the behavior of other road users, and make safe driving decisions. You will collaborate closely with robotics, autonomy, and infrastructure teams to continuously improve the performance of our autonomy stack using large-scale data from our growing fleet.</p>
This is a high-impact opportunity to work on cutting-edge AI systems operating in the real world, where every mile driven improves our models and brings autonomous trucking closer to global deployment.<br>
<br>
<b>In this role, you will:</b></div>
<ul><li>Help design, train, with a focus towards deploying onboard machine learning models that improve the performance/latency of the Kodiak autonomy stack which includes quantization, pruning, converting to ONNX/TensorRT, custom GPU kernels and profiling.</li>
<li>Help identify and achieve parity between onboard and deployed offboard models using validation on HIL</li>
<li>Collaborate with cross-functional teams including perception, planning, simulation, and autonomy infrastructure to integrate ML models into production systems.</li>
<li>Analyze real-world driving logs to identify edge cases and improve model robustness and safety.</li>
<li>Use profiling tooling to additionally help improve the train time for models by identifying and removing bottlenecks.</li>
<li>Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiak's fleet.</li>
</ul><div><b>What you'll bring:</b></div>
<ul><li>MS or PhD in Computer Science, Robotics, Machine Learning, or a related technical field, or equivalent practical experience.<br>
Strong experience deploying machine learning or deep learning systems in production environments.</li>
<li>Proficiency in Python, C++ and modern ML frameworks such as PyTorch or TensorFlow.</li>
<li>Experience working with large-scale distributed training systems.</li>
<li>Solid understanding of optimization, and machine learning fundamentals.</li>
<li>Strong software engineering fundamentals including testing, debugging, and system design.</li>
<li>Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.</li>
</ul>
<p><b>What we offer:</b></p>
<ul>
<li>Competitive compensation package including equity and annual bonuses</li>
<li>Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)</li>
<li>MetLife Legal Services, Identity &amp; Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, &amp; Critical Illness Insurance</li>
<li>Flexible PTO, 10 paid holidays, and generous parental leave policies</li>
<li>Our office is centrally located in Mountain View, CA</li>
<li>Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging</li>
<li>Long Term Disability, Short Term Disability, Life Insurance</li>
<li>Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)</li>
<li>Fidelity 401(k)</li>
<li>Commuter, FSA, Dependent Care FSA, HSA</li>
<li>Various incentive programs (referral bonuses, patent bonuses, etc.)</li>
</ul><div></div><div>
<div>At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.</div>
<div></div>
<div>In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.</div>
<div></div>
<div><i>We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed [here](</i><i>https://endorsed.com/local-law-144</i><i>). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact </i><i>careers@kodiak.ai</i><i> with &quot;Separate Review Request&quot; in the email subject line.</i></div></div></div><p></p>

Machine Learning Engineer - Deployment

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 Data Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Contractor
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Remote
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 We are seeking an expert Data Engineer to join our customer&rsquo;s team and play a pivotal role in developing next-generation AI agents. In this fully remote role, you will leverage your strong data engineering, coding, and AI/ML expertise to help train and optimize advanced AI systems. Collaborate with talented professionals in a dynamic environment where your technical skills and innovative mindset will directly impact the project's success.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and manage data pipelines to support complex AI agent training initiatives.
  </li>
  <li>
   Collaborate closely with AI/ML engineers to ensure efficient data flows and high-quality training datasets.
  </li>
  <li>
   Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL.
  </li>
  <li>
   Utilize JAVA and JavaScript to integrate diverse data sources and enable seamless data exchange.
  </li>
  <li>
   Contribute to the optimization of AI models through effective data engineering practices.
  </li>
  <li>
   Document data processes comprehensively and communicate technical concepts clearly to both technical and non-technical stakeholders.
  </li>
  <li>
   Troubleshoot and resolve data issues, ensuring data integrity and reliability for AI applications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
  </li>
  <li>
   3+ years of hands-on experience as a Data Engineer, with proven expertise in AI/ML projects.
  </li>
  <li>
   Advanced proficiency in Python, MySQL, PostgreSQL, JAVA, and JavaScript.
  </li>
  <li>
   Strong understanding of AI concepts and experience in training AI agents.
  </li>
  <li>
   Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
  </li>
  <li>
   Experience implementing robust data pipelines and scalable architecture for machine learning projects.
  </li>
  <li>
   Self-motivated, detail-oriented, and able to thrive in a fully remote team environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s degree in a related field.
  </li>
  <li>
   Direct experience with AI agent frameworks and real-world deployment projects.
  </li>
  <li>
   Previous work in fast-paced startup or innovation-driven environments.
  </li>
 </ul>
</div>


Data Engineer - Remote

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