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machine learning software engineer Jobs in New York

machine learning software engineer

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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

Futran Solutions

<div>
 
 
 Title - Machine Learning Engineer Role
 
 
 
 
 Location - New York, NY ( Hybrid 2-3 days onsite)
 
 
 
 
 Face to Face Interview Required
 
 
 
 
 Only W2
 
 
 
 
 
 
 
 Job Description:
 
 
 
 � Analyze large and complex datasets to derive actionable insights and inform business strategies.
 
 
 � Develop and implement advanced machine learning models and algorithms.
 
 
 � Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
 
 
 � Communicate findings and recommendations to stakeholders and executive leadership.
 
 
 � Stay updated with the latest trends and technologies in data science and machine learning.
 
 
 
 
 
 
 Basic Qualifications:
 
 
 
 � Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark
 
 
 � Bachelor�s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
 
 
 � Minimum of 8 years of experience in a data science role.
 
 
 � Proficiency in programming languages such as Python or R..
 
 
 � Strong understanding of machine learning techniques and algorithms.
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 � Experience with modern ML frameworks such as PyTorch, TensorFlow
 
 
 � Experience with big data technologies such as PySpark
 
 
 � Experience with ML model training within cloud infra such as Azure, AWS, GCP
 
 
 � Proven track record of successfully deploying and optimizing ML models in a production environment.
 
 
 � Excellent communication and visualization skills to effectively present data insights to non-technical stakeholders.
 
 
 
 Thanks &amp; Regards,
 
 
 
 
 Anand Polamarasetti
 
 
 
 
 Recruitment Manager
 
 
 
 
 Panand@futransolutions.com
 
 
 
 
 1235 US Highway 1 STE 2100,
 
 
 
 
 Edison, NJ, 08837, United States
 
 
</div>

Finch Legal

<div><h2 class="jobSectionHeader">About Finch</h2>
We believe every American household deserves access to counsel in life&rsquo;s biggest moments. At Finch, we&rsquo;re building the infrastructure to make justice radically more accessible. Our modern approach to consumer law automates the admin work and puts clients first, starting with personal injury.
Since launching in April, we&rsquo;ve grown 10x and are now powering pre-litigation for top law firms across the country. We combine expert operators with purpose-built AI to handle intake, claim opening, medical records, police reports, lien management, demands, and everything in between.
We&rsquo;re backed by Sequoia, Redpoint, and the founders &amp; CEOs of generational companies like DoorDash, Ironclad, and Digits. We&rsquo;re rebuilding how the law serves everyday Americans from first principles, and we&rsquo;re hiring exceptional operators to help us scale it nationwide.<h2 class="jobSectionHeader">
This Role</h2>
Legal work is buried in unstructured documents, repetitive workflows, and data that no existing system handles well &mdash; and we're building the AI to fix it. As a Machine Learning Engineer at Finch, you'll own the full lifecycle of AI systems, from prototype to production, working on problems where a single breakthrough can meaningfully change how law firms operate.<h2 class="jobSectionHeader">
What You'll Do</h2>
This is a hands-on applied AI role where you'll build and ship production systems &mdash; not just run experiments. The scope will grow as our product and team do.<ul><li>
Build voice agents, browser agents, OCR pipelines, and LLM-powered workflows that work reliably in production.</li><li>
Design rigorous evaluation frameworks and feedback loops to systematically improve model accuracy and reliability.</li><li>
Own the full ML lifecycle &mdash; model selection, fine-tuning, prompt design, deployment, and monitoring.</li><li>
Collaborate directly with product, ops, and legal experts to make sure the AI is solving the right problems.</li><li>
Track emerging research and tools, and make deliberate calls about when to bring them into our stack.</li></ul><h2 class="jobSectionHeader">
Who We Have in Mind</h2>
This role is for engineers who care about outcomes over algorithms and are just as comfortable in production as they are in a notebook. Here's what that requires.<h3 class="jobSectionHeader">
Must-Haves</h3><ul><li>
3+ years building and deploying production ML systems.</li><li>
Strong Python skills and experience working across the ML stack end-to-end.</li><li>
Hands-on experience with LLMs, prompt engineering, and evaluation design.</li><li>
A track record of shipping observable, maintainable AI systems &mdash; not just prototypes.</li></ul><h3 class="jobSectionHeader">
Nice-to-Haves</h3><ul><li>
Experience with NLP, OCR, speech, or agent frameworks (LangChain, OpenAI APIs, etc.).</li><li>
Prior work at an early-stage startup where you helped define ML infrastructure from scratch.</li><li>
Familiarity with legal tech, document-heavy workflows, or regulated industries.</li></ul><h3 class="jobSectionHeader">
This Role Might Not Be For You If</h3><ul><li>
You prefer research or experimentation over owning systems in production.</li><li>
You do your best work with a well-scoped problem and a stable, established ML platform.</li><li>
You're looking for a remote-first role &mdash; this one is 4 days/week in our NYC office.</li></ul><h2 class="jobSectionHeader">
Compensation</h2>
The expected package for this role includes base salary + commission + equity.<ul><li>
Base salary = $170,000 - $250,000</li></ul><h2 class="jobSectionHeader">
Benefits</h2><ul><li>
100% coverage for health, dental, and vision.</li><li>
401(k) retirement plan.</li><li>
In-office snacks, drinks, and daily team lunches and dinners.</li><li>
Flexible PTO (we trust you to take the time you need).</li></ul><h2 class="jobSectionHeader">
Interview Process</h2><ul><li>
Intro: An initial call to see if there's a mutual fit.</li><li>
Interview: An interview that typically involves a case assignment of sorts.</li><li>
Onsite: A visit to our NYC office to interview, meet the team, and have lunch.</li></ul><h2 class="jobSectionHeader">
At Finch Legal, we believe in practicing what we advocate.</h2>
As a company dedicated to upholding justice and protecting people in the workplace, we are equally committed to fostering a safe, inclusive, and equitable environment within our own walls. We welcome and support individuals from all backgrounds and lived experiences &mdash; regardless of race, ethnicity, gender identity, sexual orientation, religion, disability, or veteran status.
We recognize that diversity strengthens our team, enriches our perspectives, and empowers us to better serve our clients and communities. At Finch Legal, inclusion isn&rsquo;t just a value &mdash; it&rsquo;s a practice.
Compensation Range: $170K - $250K</div>

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 .

Trovo Health

<div>
 
 About Us
 
 
 
 Trovo Health is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.
 
 
 We&rsquo;re growing rapidly and are backed by Oak HC/FT, investors in leading healthcare and technology companies such as Ambience Healthcare, Devoted Health, VillageMD, CareBridge, Main Street Health, Maven Clinic, and more.
 
 
 
 About The Role
 
 
 
 We are looking for a highly capable AI / ML Engineer to help build and scale Trovo Health&rsquo;s AI Care Team platform. This is a broad-scope, hands-on engineering role for a technical builder with strong ML fundamentals, production experience, and a product-oriented mindset. As an early member of the engineering team, you will play a critical role in designing, training, deploying, and operating the ML systems that power Trovo&rsquo;s AI coordinator.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and own AI systems end-to-end: Ingest, structure, and analyze large volumes of unstructured healthcare data, and design production-grade data and ML pipelines for both training and inference.
 </li>
 <li>
 Develop NLP and LLM-powered features: Design, evaluate, and deploy models using modern NLP frameworks and LLM APIs, with a strong focus on real-world performance and reliability.
 </li>
 <li>
 Operate at production scale: Architect and maintain cloud-based ML workflows in AWS, including containerized services and orchestration for data processing, training, and inference.
 </li>
 <li>
 Continuously improve model quality: Monitor, test, and iterate on model accuracy, robustness, privacy, and safety within live clinical workflows.
 </li>
 <li>
 Contribute across the product: Collaborate across the stack&mdash;from APIs and backend systems to product UX and workflow design&mdash;to deliver cohesive, AI-driven features.
 
 
 </li>
 </ul>
 
 We Expect You To Have
 
 
 
 <ul>
 <li>
 ML and data depth: 3+ years of experience ingesting, structuring, and analyzing diverse data sources, with strong proficiency in Python, SQL, and data tooling (e.g., pandas or equivalent).
 </li>
 <li>
 Production AI experience: Hands-on experience building and operating NLP and/or LLM-powered systems in production, including frameworks such as spaCy, LangChain, and extensive LLM API usage.
 </li>
 <li>
 Pipeline expertise: Significant experience designing and maintaining data and ML pipelines in production environments.
 </li>
 <li>
 Cloud and infrastructure fluency: Experience working in AWS environments, including containerized workloads and orchestration for training and inference.
 </li>
 <li>
 Healthcare familiarity: Experience working with healthcare data and an understanding of the constraints of regulated environments, or strong motivation to develop this expertise.
 </li>
 <li>
 Cross-functional communication: Ability to collaborate effectively with engineers, product leaders, and clinical stakeholders.
 </li>
 <li>
 Ownership mentality: Demonstrated success operating in early-stage or high-growth environments with broad technical responsibility.
 </li>
 <li>
 Full-stack capabilities: Comfort contributing beyond core ML work, including APIs, system design, or frontend-adjacent development when needed.
 </li>
 <li>
 NYC-based: You are based in New York and excited to be in-office ~3 days per week.
 
 
 </li>
 </ul>
 Target compensation for this role is $200-$250k, plus equity and a generous benefits package.
 
 
 Trovo Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
</div>

AI/Machine Learning Engineer

Microsoft

<div>
 
 Overview
 
 
 
 As a Member of Technical Staff - Software Engineer &amp; Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from &ldquo;What happened?&rdquo; to &ldquo;Why did it happen?&rdquo; in minutes. You&rsquo;ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations. n developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We&rsquo;re looking for a experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
 </li>
 <li>
 Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.
 </li>
 <li>
 Develop secure, compliant workflows for handling production logs and conversation data.
 </li>
 <li>
 Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context.
 </li>
 <li>
 Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces.
 </li>
 <li>
 Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
 </li>
 <li>
 Prototype and productionize ML models for anomaly detection and predictive insights.
 </li>
 <li>
 Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
 </li>
 <li>
 Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
 </li>
 <li>
 Independently write efficient, readable, extensible code and model pipelines.
 </li>
 <li>
 Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
 </li>
 <li>
 Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
 </li>
 </ul>
 <li>
 Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
 </li>
 <li>
 Demonstrated interest in Responsible AI.
 
 </li>
 </ul>
 #MicrosoftAI
 
 
 Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
 
 
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
 
 
 https://careers.microsoft.com/us/en/us-corporate-pay
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Machine Learning Software Engineer

Microsoft AI

Explore 498+ Learning engineer in New York this March. Find roles across top companies and apply now to boost your career.

498 learning engineer jobs In New York

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