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Research Engineer, MRS AI

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>2 years of experience programming in Python or C++. 
</li>
<li>1 year of experience with one or more of the following: sequence modeling, deep learning, natural language processing (NLP), reinforcement learning, or building machine learning models in production.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in Computer Science, or a related technical field.</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience in applied mathematics or statistical analysis.</li>
<li>Experience working with Ads.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will design, train, deploy, and serve models that operate at a massive scale, directly impacting billions of ads on Google Search. You will have the opportunity to innovate and collaborate with research teams to implement technologies.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We&rsquo;re made up of multiple teams, building Google&rsquo;s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
 
 
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. 
 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Enhance and simplify the machine learning models that are crucial to billions in Google Ads business.</li>
<li>Drive improvements in quality, stability, and efficiency across all stages of model development, from initial concept to global deployment.</li>
<li>Design and execute experiments using sophisticated statistical methods to solve machine learning issues.</li>
<li>Enhance code health and develop automation processes.</li>
<li>Refine alerting systems to guarantee model stability and peak performance.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, AI/ML, Search Ads

mecka

<div><h2 class="jobSectionHeader">The Role</h2>
We're hiring an ML and Optimization Specialist to lead model architecture improvements across all of Mecka's pipelines.
This role is heavily focused on foundational deep learning engineering rather than applied ML. We are looking for an engineer who natively writes, debugs, and modifies internal model architectures from the ground up, moving beyond utilizing off-the-shelf models or standard fine-tuning.
Many of our current ML systems rely heavily on frame-by-frame models, but all of our data is inherently temporal. Your immediate focus will be converting and optimizing these models for temporal inference &mdash; a critical unlock for pipeline performance.
Beyond that, you'll be the go-to person for model-level debugging, architecture design, and optimization across the organization. This is a high-leverage, deeply technical role for someone who thinks at the architecture level.<h2 class="jobSectionHeader">
Responsibilities</h2><h3 class="jobSectionHeader">
Immediate Priorities</h3><ul><li>
Temporal model conversion &mdash; migrate frame-by-frame models to temporal architectures that leverage sequential data</li><li>
Benchmark and validate temporal models against existing frame-based baselines</li></ul><h3 class="jobSectionHeader">
Ongoing</h3><ul><li>
Lead model architecture improvements across all pipelines (CV, pose estimation, etc.)</li><li>
Tune and debug ML models at the model architecture level &mdash; modifying structural code, writing custom layers, and addressing the underlying math, rather than relying solely on high-level APIs or hyperparameter tuning</li><li>
Profile and optimize model performance (latency, throughput, memory)</li><li>
Evaluate and introduce new architectures, training strategies, and optimization techniques</li><li>
Collaborate with CV, ML, and infrastructure teams to deploy improved models</li></ul><h2 class="jobSectionHeader">
Who You Are</h2><h3 class="jobSectionHeader">
Required Skills</h3><ul><li>
Deep expertise in ML model architecture design and optimization</li><li>
Ability to tune and debug models at the architecture level &mdash; diagnosing issues in attention mechanisms, loss landscapes, gradient flow, etc.</li><li>
Strong experience with temporal/sequential models (transformers, RNNs, temporal convolutions, state-space models)</li><li>
Proficiency in PyTorch (or equivalent) at a research-engineering level</li><li>
Experience optimizing models for production deployment</li></ul><h3 class="jobSectionHeader">
Strong Signals</h3><ul><li>
Published papers or production experience with video understanding or temporal perception</li><li>
Experience with model distillation, quantization, or efficient inference</li><li>
Background in computer vision model architectures</li><li>
Experience converting or adapting pre-trained models to new domains/modalities</li><li>
Familiarity with ONNX, TensorRT, or similar inference optimization tools</li></ul><h3 class="jobSectionHeader">
You Are</h3><ul><li>
Obsessed with model internals &mdash; you think in terms of structural architecture and custom implementations, rather than just training runs and applied endpoints</li><li>
Able to move between research papers and production code</li><li>
A strong communicator who can explain architecture tradeoffs to cross-functional teams</li></ul><h2 class="jobSectionHeader">
Why This Role</h2><ul><li>
Own the model architecture strategy across all of Mecka's pipelines</li><li>
Solve a critical temporal modeling challenge with immediate impact</li><li>
Work at the intersection of perception, robotics, and ML systems</li><li>
High ownership in a fast-moving, well-funded robotics AI company</li></ul>
Compensation Range: $160K - $250K</div>

Core ML Engineer: Deep Learning Architecture

Optum

<div>Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. 
Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. 
Optum AI team members:<ul><li>
Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone</li><li>
Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development</li><li>
Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities</li></ul> 
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. 
Primary Responsibilities:<ul><li>
Build and test deep learning and traditional ML models in distributed computing environments</li><li>
Develop robust machine learning pipelines and ML Ops procedures to support production processes</li><li>
Process and transform source data to be used in machine learning pipelines, leveraging distributed computing environments and parallel processing approaches</li><li>
Develop robust modules for evaluation and drift detection</li><li>
Design and plan experiments, conduct statistical analysis and create data visualizations</li><li>
Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs</li><li>
Develop code and model documentation and assist with model governance approvals</li></ul> 
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:<ul><li>
BS in computer science or a related quantitative field</li><li>
2+ years of AI/ML experience</li><li>
2+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow</li><li>
Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification</li></ul> 
Preferred Qualifications:<ul><li>
MS or PhD in computer science or related quantitative field</li><li>
Experience with distributed computing approaches such as Spark</li><li>
Experience with Snowflake and other relational databases</li><li>
Experience building Python libraries</li><li>
Experience working on collaborative software projects using GitHub</li><li>
Experience developing simple UIs for POCs demonstrating AI/ML models</li><li>
Proven solid technical communication skills</li></ul><ul><li> 
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy</li></ul> 
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. 
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. 
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. 
UnitedHealth Group is a drug free workplace. Candidates are required to pass a drug test before beginning employment.</div>

Senior AI/ML Scientist - Remote

Crosby

<div><h2 class="jobSectionHeader">About Crosby AI</h2>
Crosby is an AI-first legal platform reimagining corporate legal services from the ground up. We are a team of technologists and legal experts who build proprietary technology and human-in-the-loop workflows that meaningfully improve how lawyers and machines work together &mdash; delivering speed, consistency, and quality across high-stakes work.
Our systems review complex documents faster and with exceptional accuracy, combining advanced AI with structured legal expertise. Clients receive AI-powered redlines, commentary, and negotiation guidance within hours, at a predictable, volume-based price.
Backed by Sequoia, Index Ventures, and Bain Capital Ventures, we're building the end-to-end contracting platform for the next generation of fast-growing companies.<h2 class="jobSectionHeader">
The Team</h2>
The Engineering team builds the core AI systems and infrastructure that power Crosby&rsquo;s platform. We work at the intersection of research and production, developing models and systems that operate reliably in complex, real-world legal workflows.
We prioritize rigor, speed, and impact &mdash; advancing the frontier of applied AI while shipping systems that deliver measurable value.<h2 class="jobSectionHeader">
The Role</h2>
As an AI Researcher at Crosby, you'll play a critical role in advancing the capabilities of our AI systems. You&rsquo;ll explore, develop, and apply state-of-the-art techniques in LLMs and applied NLP to improve how our platform understands, analyzes, and reasons over complex legal documents.
You&rsquo;ll work closely with engineers, data scientists, and legal experts to translate research ideas into production systems. This role is for someone who is deeply curious, technically rigorous, and motivated to push the boundaries of what AI can do in high-stakes domains.<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Advance model capabilities: Research and develop novel approaches to improve performance on tasks like document understanding, clause extraction, reasoning, and negotiation.</li><li>
Experiment and iterate: Design and run experiments to evaluate new architectures, prompting strategies, fine-tuning approaches, and retrieval methods.</li><li>
Bridge research and production: Work closely with engineering teams to translate research insights into scalable, production-ready systems.</li><li>
Improve evaluation: Develop benchmarks, datasets, and evaluation frameworks to rigorously measure model performance.</li><li>
Leverage modern AI techniques: Stay at the frontier of LLMs and applied AI, incorporating new methods where they meaningfully improve outcomes.</li><li>
Collaborate cross-functionally: Partner with engineering, product, and legal teams to ensure research efforts align with real-world needs.</li></ul><h2 class="jobSectionHeader">
Who You Are</h2><ul><li>
3&ndash;7+ years of experience in AI research, machine learning, or applied NLP</li><li>
Strong foundation in machine learning, deep learning, and statistical methods</li><li>
Hands-on experience working with LLMs, transformers, and modern NLP techniques</li><li>
Experience running experiments and evaluating model performance in a rigorous, structured way</li><li>
Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or similar</li><li>
Strong problem-solving skills and the ability to translate ambiguous challenges into research directions</li><li>
Effective communicator who can collaborate across technical and non-technical teams</li><li>
Curious, driven, and excited about applying research to real-world, high-impact problems</li></ul><h2 class="jobSectionHeader">
Equal Opportunity</h2>
Crosby is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the New York City Fair Chance Act.
Pursuant to New York Labor Law Section 194-b, the US Pay Range for this position is listed below. Final compensation will be determined based on skills, experience, and qualifications.
Compensation Range: $200k&ndash;$300k
Compensation Range: $200K - $300K</div>

AI Researcher

YO IT Consulting

<div>
 
 Job Title:
 
 AI/ML Engineer
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
 </li>
 <li>
 Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
 </li>
 <li>
 Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
 </li>
 <li>
 Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
 </li>
 <li>
 Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
 </li>
 <li>
 Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
 </li>
 <li>
 Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
 </li>
 <li>
 Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
 </li>
 <li>
 Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
 </li>
 <li>
 Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
 </li>
 <li>
 Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
 </li>
 <li>
 Exceptional written and verbal communication skills for effective collaboration and documentation.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
 </li>
 <li>
 Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
 </li>
 <li>
 Prior exposure to government or highly regulated cloud environments and compliance standards.
 </li>
 </ul>
</div>

Machine Learning Engineer – Remote

Openkyber

<div>Title: Senior Data Analyst Location: Irving Place, New York, NY(Hybrid) Job Type: Contract Interview:- F2F Interview Job Description:
A Bachelor's Degree in Computer Science or related field with at least 3-5 years' work experience in an enterprise IT environment. Advanced SQL Azure Databricks Data Engineer Associate Certificate full-stack Python Generative AI Knowledge of statistical modeling and machine learning concepts Machine Learning Operations Power BI Dashboards python Pyspark programming Nice To Have JOB SUMMARY Data Analyst w/ ML Experience JOB DESCRIPTION Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems. Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine. Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Required Skills/Experience (Skills that the successful candidate(s) must have) Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics , or related field. Strong experience in machine learning algorithms , predictive modeling, and data mining. Proficiency in Python (required) for data science workloads. Strong SQL (required) knowledge and experience with relational databases. Proficiency in PySpark(required) for data science workloads. Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices. Experience with Azure Databricks , Oracle , and modern data science libraries (e.g., scikit-learn, pandas, NumPy). Experience with GenAI and large language models. Ability to interpret complex datasets and produce actionable insights. Must know how to analyze the root cause of dashboard errors. Have experience in ML Ops and have strong coding background. Have experience with Natural Language Processing (NLP). Knowledge or experience with A/B Testing. Working knowledge of designing, training, and implementing machine learning models. Familiarity with cloud-based infrastructure Excellent communication and problem-solving skills. 7 or more years of experience in data science and machine learning engineering.
Additional Skills (Skills that are a plus, but not required) Knowledge of statistical methods and experimental design.
Responsibilities Advanced Analytics &amp; Machine Learning Design, develop, and optimize machine learning models (forecasting, classification, clustering). Apply data mining techniques to uncover patterns and insights in large datasets. Perform feature engineering, model validation, and performance tuning. Explore and deploy modern AI and ML approaches to enhance automation and analytics.
Data Preparation &amp; Quality Prepare structured and unstructured data for modeling and advanced analysis. Develop scripts and tools for data cleansing, validation, and enrichment. Collaborate with Data Engineering to maintain efficient data pipelines. Identify data quality issues and propose remediation.
Analytics, Insights &amp; Reporting Conduct deep-dive analyses to identify trends and improvement opportunities. Communicate complex findings in clear, concise ways to technical and non-technical stakeholders. Support the development of dashboards, metrics, and analytical solutions.
Cross-Team Collaboration Work with architects, engineers, and analysts to define analytical requirements. Contribute to conceptual data model design and workflow optimization. Promote best practices in machine learning, analytics, and data governance.
For applications and inquiries, contact: hirings@openkyber.com</div>

Cognos Business Intelligence Analyst

Explore 728+ Deep learning engineer in New York this April. Find roles across top companies and apply now to boost your career.