software engineer

machine learning engineer Jobs in New York

machine learning engineer

lead commissioning engineer Jobs in New York

lead commissioning engineer

manufacturing engineering senior manager Jobs in New York

manufacturing engineering senior manager

network engineer

ml engineer

James Search Group

<div>
 
 
 AI/ML Engineer
 
 
 
 
 Location:
 
 New York, NY
 
 
 
 Compensation:
 
 $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 
 
 
 Industry:
 
 Global P&amp;C Insurance
 
 
 
 
 
 
 About the role and the company.
 
 
 
 James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
 
 AI/ML Engineer
 
 to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 
 
 
 
 
 As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
 </li>
 <li>
 Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
 </li>
 <li>
 Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
 </li>
 <li>
 Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
 </li>
 <li>
 Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
 </li>
 <li>
 Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
 </li>
 <li>
 Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
 </li>
 <li>
 Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
 </li>
 <li>
 Familiarity with actuarial concepts or insurance-specific data models.
 </li>
 <li>
 Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
 </li>
 <li>
 Comfortable in a collaborative, fast-paced, and agile working environment.
 </li>
 </ul>
 
 
 
 
 This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 
 
 
 
 
 
 Apply today
 
 to help reshape the future of insurance through data and AI innovation.
 
</div>

Machine Learning Engineer

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li><div>8 years of experience in software development.</div></li>
<li>5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 
</li>
<li>5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li>
<li>2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field. 
</li>
<li>8 years of experience with data structures/algorithms.</li>
<li>3 years of experience in a technical leadership role leading project teams and setting technical direction. 
</li>
<li>3 years of experience working in an organization involving cross-functional, or cross-business projects.</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.

Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $197,000-$291,000 + 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>Design, develop, test, deploy, maintain, and enhance large scale software solutions. 
</li>
<li>Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables. 
</li>
<li>Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers. 
</li>
<li>Lead the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies. 
</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>

Staff Software Engineer, AI/ML GenAI, Google Cloud

Apple

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn&rsquo;t have imagined, and now, can&rsquo;t imagine living without. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do. 
 
Description 
 
APPLE INC has the following available in New York, New York. Work with Product, Design, Project and Engineering to identify, conceptualize and implement the ML use cases for Apple Sports. Prototype ML and Probabilistic algorithms specific to Sports Data. Analyze the Apple Sports Signals and recognize the relevant probabilistic patterns to enhance existing systems while keeping user privacy intact. Execute Statistical tests to identify strength and weakness of ML systems and address by using appropriate ML techniques. Find patterns in the data to enhance the user experience. Document and keep the Apple Sports teams up to date with ML research. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 - $220,900/yr and your base pay will depend on your skills, qualifications, experience, and location. 
 
PAY &amp; BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: https://www.apple.com/careers/us/benefits.html. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 
 
Preferred Qualifications 
 
N/A 
 
Minimum Qualifications 
 
Master&rsquo;s degree or foreign equivalent in Computer Science, Software Engineering, Electrical and Computer Engineering, or related field. 
 
Experience and/or education must include: 
 
Utilizing Python and PyTorch to design, train, and deploy machine learning models for prediction, classification, and generation tasks. 
 
Utilizing modern NLP techniques with Transformer-based architectures including BERT or GPT for text classification and generation. 
 
Applying statistical and probabilistic modeling, including logistic regression, Bayesian inference, and hypothesis testing, to support model development and evaluation. 
 
Designing and executing A/B tests and multivariate experiments to validate machine learning model performance and guide iterative improvements. 
 
Using Scikit-learn, including decision trees, clustering, and ensemble methods to implement classical machine learning algorithms 
 
Utilizing NLTK or similar NLP toolkits for text preprocessing, tokenization, sentiment analysis, and named entity recognition. 
 
Conducting time-series data analysis and pattern recognition using supervised and unsupervised learning techniques. 
 
Using version-controlled scripts and model evaluation frameworks to develop and maintain reproducible machine learning workflows. 
 
Documenting ML research findings and translating experimental results into actionable technical improvements. 
 
Collaborating cross-functionally with engineering, product, and design teams to integrate ML models into user-facing applications. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
In this role, you will build scalable solutions and sophisticated models that identify and drive growth opportunities for Amazon Ads teams, specifically within Amazon's Demand Side Platform (ADSP). You will leverage machine learning, simulation, and advanced statistical techniques to explain complex patterns, quantify business impact, predict future trends, and prescribe actionable strategies that inform critical business decisions at the highest levels of the organization. You will work with various stakeholders to align on priorities, with the understanding that scope and direction may evolve based on organizational needs. You will translate business goals into agile, insightful analytics that create tangible value for both stakeholders and customers, and communicate your findings clearly and actionably to managers and senior leaders so they can quickly understand insights and take decisive action. 
 
You will set the strategy for ads delivery and quality and establish the measurement and decision frameworks. A core mandate for this role is to identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, ensuring we optimize the levers that move outcomes rather than simply reporting on lagging KPIs. 
 
Key job responsibilities 
<ul><li>You will define and execute in-depth data analysis that drives data-informed decision making for product, sales, and finance teams who speak on behalf of advertisers.</li></ul> 
<ul><li>You will establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions.</li></ul> 
<ul><li>You will identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, creating robust measurement frameworks.</li></ul> 
<ul><li>You will collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale.</li></ul> 
<ul><li>You will partner with product managers and stakeholders to define forward-looking product visions and prospective business use cases.</li></ul> 
<ul><li>You will set the strategy for ads delivery and quality, establishing decision frameworks that enable teams to move from reactive reporting to proactive optimization.</li></ul> 
<ul><li>You will drive and lead a culture of data-driven innovations within the Amazon AdTech org.</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>2+ years of data scientist experience</li><li>Bachelor's degree</li><li>Experience applying theoretical models in an applied environment</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 153,400.00 - 207,500.00 USD annually 
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div>

Data Scientist II, ADSP Product Operations & Analytics

Actively AI

<div>
 
 About Actively AI
 
 
 
 Our thesis is that businesses of the future will be powered by agentic human-in-loop-machines that make every business function 10x more efficient.
 
 
 Actively AI is building that superintelligent machine for Enterprise GTM organizations, focused on increasing productivity per rep. We power the day-to-day for outbound teams at dozens of companies like Samsara, Ramp, Verkada, and Ironclad.
 
 
 Why does this matter?
 
 Because revenue is the ultimate fuel for businesses.
 
 The hundreds of millions of dollars we generate for our customers enables them to employ more people, innovate faster, and deliver more value to
 
 their
 
 customers.
 
 
 In addition to top-notch customers that love our product, our team is incredibly high caliber - the co-founders are former Stanford AI researchers and the engineering team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We're also backed by top investors, including Bain Capital Ventures, First Round Capital (seed investors in Uber, Square, Roblox, Clearbit), Lachy Groom, and Stanford AI faculty.
 
 
 We have a very ambitious product and scaling roadmap, there&rsquo;s strong market interest in what we are doing, and it&rsquo;s time to put the foot on the gas. If you get excited by the thought of working really hard on these kinds of problems with a high caliber team, then Actively AI is the right place for you.
 
 
 About the Role:
 
 
 We&rsquo;re looking for early engineers to help us move fast across product, infrastructure, and go-to-market. Our vision is simple but ambitious: build a platform that automates the sales research and planning workflows that slow teams down &mdash; and help GTM teams spend more time actually selling.
 
 
 You&rsquo;ll work across the entire product, stack, and business &mdash; owning features end-to-end, shaping product strategy through user interaction, and building tools that directly unlock growth and scale.
 
 
 This is a high-leverage, high-autonomy role, perfect for engineers who are hungry to build and ship fast, work closely with customers, and shape the future of the product and company.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and own core product features that deliver immediate value to users.
 </li>
 <li>
 Tackle technical complexity across the stack: data pipelines, infra, LLMs, and frontend UX.
 </li>
 <li>
 Talk directly to customers and pilot users to identify gaps, test new ideas, and iterate quickly.
 </li>
 <li>
 Contribute to our onboarding, implementation, and customer delivery processes &mdash; including tooling and automation.
 </li>
 <li>
 Collaborate with engineering and product to prioritize roadmap items based on user impact.
 </li>
 <li>
 Think holistically about the product and business &mdash; helping shape GTM strategy, sales enablement tools, and internal ops.
 
 
 </li>
 </ul>
 A Typical Week Might Include
 
 
 <ul>
 <li>
 Joining customer calls to understand how reps use the product and where it can improve.
 </li>
 <li>
 Shipping a feature that delivers a step change in ROI for pilot users.
 </li>
 <li>
 Troubleshooting onboarding or LLM performance issues and pushing hotfixes.
 </li>
 <li>
 Building a new internal tool to streamline sales team workflows.
 </li>
 <li>
 Brainstorming new value props with the founders and contributing to pitch iterations.
 
 
 </li>
 </ul>
 Who You Are
 
 
 <ul>
 <li>
 
 Builder at Heart
 
 &ndash; You love building things from scratch and are obsessive about the details.
 </li>
 <li>
 
 Technical Depth
 
 &ndash; Strong engineering and/or ML background, with experience or interest in LLMs and large-scale data processing.
 </li>
 <li>
 
 High Ownership
 
 &ndash; You&rsquo;ve owned product areas or infrastructure before, and thrive on autonomy.
 </li>
 <li>
 
 Customer-Obsessed
 
 &ndash; You get energy from talking to users and thinking from their perspective.
 </li>
 <li>
 
 Fast, Curious, and Iterative
 
 &ndash; You learn quickly, move fast, and constantly seek feedback.
 </li>
 <li>
 
 Career Trajectory
 
 &ndash; You're looking for a big leap forward &mdash; in ownership, impact, and growth.
 
 
 </li>
 </ul>
 Bonus Points
 
 
 <ul>
 <li>
 Former founder or 2+ years at a high-growth startup in a customer-facing role.
 </li>
 <li>
 Experience working directly on delivery, implementation, or sales engineering teams.
 </li>
 <li>
 Built or scaled LLM-based or AI-powered products in production.
 
 
 </li>
 </ul>
 Benefits:
 
 
 <ul>
 <li>
 🚀 Competitive Early-Stage Equity
 </li>
 <li>
 ⚕ Health, Dental, Vision Coverage
 </li>
 <li>
 💡 Unlimited PTO + Recharge Days
 </li>
 <li>
 🍽️ Catered Lunch on Tuesday &amp; Friday w/ Dinners every day!
 </li>
 <li>
 🍿 Fully Stocked Kitchen
 </li>
 <li>
 💻 Cutting-Edge Tech &amp; Tools
 </li>
 <li>
 🌴 Annual Off-sites &amp; Monthly Events
 </li>
 <li>
 🚆 Commuter Benefits
 
 
 </li>
 </ul>
 Actively AI provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Actively AI factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Actively AI leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Actively.ai reserves the right to modify this information at any time, subject to applicable law. Actively AI is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Actively AI is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
 
 
 Compensation Range: : $140,000 USD - $180,000 USD
</div>

Software Engineer (AI/LLM)

Mount Sinai Health System

<div>Description
The Windreich Department of AI &amp; Human Health is rapidly advancing the use of technology to improve health outcomes and is at the forefront of AI implementation within the Mount Sinai Health.
Machine Learning Engineer III will oversee the design and development of sophisticated machine learning systems. They will collaborate closely with cross-functional teams to drive innovation and ensure the successful implementation of machine learning solutions. 
Responsibilities
End-to-End System Responsibility:<ul><li>
Assume complete ownership of the entire machine learning system development process.</li><li>
Coordinate closely with other team members and other engineering teams to ensure seamless integration and alignment with broader organizational goals and workflows.</li><li>
Lead the collaborative efforts with cross-functional teams, including data scientists and product managers, to ensure the successful deployment and robust maintenance of machine learning models.</li><li>
Oversee the continuous monitoring and timely updating of deployed models to guarantee enduring performance and reliability.</li></ul>
Technical Leadership:<ul><li>
Exhibit technical leadership and mentorship to Machine Learning Engineer I, II, and other team members.</li><li>
Encourage knowledge exchange and promote professional growth within the team.</li><li>
Establish and enforce best practices for machine learning system development, including coding standards, code reviews, and comprehensive documentation.</li><li>
Serve as the primary contact for technical inquiries related to machine learning within the team, providing expert guidance and solutions.</li></ul>
Problem-Solving:<ul><li>
Utilize advanced problem-solving skills to navigate and resolve complex technical challenges and obstacles.</li><li>
Foster a collaborative environment for brainstorming and implementing effective solutions with the team and other departments.</li></ul>
Research and Development:<ul><li>
Remain up-to-date with the latest advancements and trends in the fields of software engineering and machine learning.</li><li>
Conduct proactive research to uncover new methods and techniques applicable to future projects.</li><li>
Lead initiatives to explore, test, and implement new technologies and frameworks, ensuring the team is always at the forefront of industry innovations.</li></ul>
Collaboration and Communication:<ul><li>
Engage in effective communication and collaboration across various teams within the organization to ensure alignment and coordination in the execution of machine learning projects.</li><li>
Facilitate transparent and timely communication with all relevant stakeholders, ensuring that all are kept informed of project statuses, challenges, and achievements.</li><li>
Work collaboratively with cross-functional teams, fostering a cooperative environment for the seamless integration of machine learning systems into diverse organizational processes and workflows.</li><li>
Contribute to building strong interdepartmental relationships, enabling the efficient exchange of knowledge and expertise, and ensuring the successful realization of machine learning initiatives.</li></ul>
Additional Responsibilities:<ul><li>
Develop and maintain project work plans, including critical tasks, milestones, timelines, interdependencies, and contingencies. Tracks and reports progress. Keeps stakeholders apprised of project status and implications for completion.</li><li>
Prepare clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication.</li><li>
Mentor other analysts on how to a) determine appropriate statistical analysis methods, b) leverage appropriate programing languages and tools, and c) generate and interpret statistical analysis outputs.</li><li>
Share development and process knowledge with other analysts in order to assure redundancy and continuously builds a core of analytical strength within the organization.</li><li>
Adheres to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output.</li><li>
Works closely with IT on the ongoing improvement of Mount Sinai&rsquo;s integrated data warehouse, driven by strategic and business needs, and designed to ensure data and reporting consistency throughout the organization.</li><li>
Demonstrates advanced level proficiency with the principles and methodologies of process improvement. Applies these in the execution of responsibilities in support of a process focused approach.</li><li>
Other duties as assigned.</li></ul> 

Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>
4+ years of relevant experience in machine learning and back-end software development.</li><li>
Demonstrated end-to-end machine learning system development and operation experience, covering the complete Software Development Life Cycle (SDLC).</li><li>
Proficiency in multiple programming languages and machine learning frameworks and tools.</li><li>
Solid experience with both SQL and NoSQL databases.</li><li>
Extensive experience with Big Data technologies like Apache Spark.</li><li>
Hands-on experience in Unix environments.</li><li>
Practical knowledge and experience with at least one cloud system among AWS, Azure, or Google Cloud.</li><li>
Familiarity with continuous development and integration systems such as Jenkins, Git, Azure DevOps, and Terraform.</li><li>
A proven history in developing, deploying, and operating efficient and reliable machine learning systems.</li><li>
Strong leadership and effective communication skills to facilitate cross-functional collaboration throughout the organization.</li><li>
Experience in providing mentorship</li></ul> 
Employer Description
Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. 
Compensation
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $132000 - $198065 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</div>

Machine Learning Engineer III - Generative AI - Windreich Department of Artificial Intelligence & Human Health Research

Twitch

<div>
 
 About Us
 
 
 
 Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
 
 
 We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
 
 
 
 About The Role
 
 
 
 Join the Monetization ML team within Twitch's Commerce organization, where we're building the intelligent systems that power personalized experiences for creators and viewers across all monetization products. We are the team behind the ML infrastructure for ads, commerce, and money products &ndash; systems that optimize revenue and detect fraud while serving millions of users in real-time.
 
 
 From production model infrastructure to API integrations across services, we're constantly pushing the boundaries of what's possible in live streaming monetization.
 
 
 Our team are based in Seattle, WA and New York City, NY
 
 
 
 You Will:
 
 
 
 
 <ul>
 <li>
 Build robust ML infrastructure and platforms that power personalized monetization experiences across Twitch's ecosystem
 </li>
 <li>
 Architect and develop APIs that seamlessly integrate ML models with existing monetization services, enabling real-time and batch predictions at scale
 </li>
 <li>
 Collaborate with Applied Scientists to productionize ML models, transforming research into production-ready systems that serve millions of users
 </li>
 <li>
 Partner with product engineering teams across monetization to deliver ML-powered features that enhance creator and viewer experiences
 </li>
 <li>
 Design and implement comprehensive monitoring and operational excellence systems for ML model performance, ensuring reliability and quality at scale
 </li>
 <li>
 Develop data ingestion and processing pipelines that support both real-time inference and batch training workflows
 </li>
 <li>
 Explore and build infrastructure for emerging use cases including LLM applications in monetization contexts
 
 
 
 </li>
 </ul>
 
 You Have:
 
 
 
 
 <ul>
 <li>
 1+ years of professional software development experience with a focus on building scalable systems
 </li>
 <li>
 Experience building production ML infrastructure, including model deployment, serving, and monitoring systems
 </li>
 <li>
 Proficiency in modern programming languages (Python, Java, Go) and distributed system technologies
 </li>
 <li>
 A track record of building APIs and integrating systems that handle high-throughput, low-latency requirements
 </li>
 <li>
 Understanding of data processing pipelines and experience with streaming technologies (Flink, Kafka, or similar)
 </li>
 <li>
 Sharp problem-solving skills with a focus on algorithms, data structures, and distributed system design
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, or equivalent real-world experience
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 
 <ul>
 <li>
 Familiarity with Twitch's tech stack: Golang, Python, Apache Flink, Cond
 </li>
 <li>
 Experience with workflow orchestration tools like Airflow or Conductor for managing ML pipelines
 </li>
 <li>
 Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions
 </li>
 <li>
 Knowledge of real-time ML serving systems and model deployment at scale
 </li>
 <li>
 Experience with fraud detection, recommendation systems, or monetization optimization
 </li>
 <li>
 A passion for gaming, streaming, or the Twitch platform
 
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 
 <ul>
 <li>
 Medical, Dental, Vision &amp; Disability Insurance
 </li>
 <li>
 401(k)
 </li>
 <li>
 Maternity &amp; Parental Leave
 </li>
 <li>
 Flexible PTO
 </li>
 <li>
 Amazon Employee Discount
 
 
 
 </li>
 </ul>
 Job ID: TW8973
 
 
 
 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.
 
 
 
 US Pay Per Year
 
 
 $99,500&mdash;$200,000 USD
 
 
 
 Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 
 
 Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
 
</div>

Software Engineer, ML

Explore 56+ Ml engineer in New York this March. Find roles across top companies and apply now to boost your career.

56 ml engineer jobs In New York

Machine Learning Engineer

Staff Software Engineer, AI/ML GenAI, Google Cloud

Machine Learning Engineer

Data Scientist II, ADSP Product Operations & Analytics

Software Engineer (AI/LLM)

Machine Learning Engineer III - Generative AI - Windreich Department of Artificial Intelligence & Human Health Research

Software Engineer, ML