software engineer

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python 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

Mindrift

<div>
 
 
 Please submit your CV in English and indicate your level of English proficiency.
 
 
 
 
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 
 Participation is project-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 While each project involves unique tasks, contributors may:
 
 
 <ul>
 <li>
 Design rigorous mathematics problems reflecting professional practice;
 </li>
 <li>
 Evaluate AI solutions for correctness, assumptions, and constraints;
 </li>
 <li>
 Validate calculations or simulations using Python (NumPy, Pandas, SciPy);
 </li>
 <li>
 Improve AI reasoning to align with industry-standard logic;
 </li>
 <li>
 Apply structured scoring criteria to multi-step problems
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 Degree in Mathematics or related fields, e.g. Algebra, Calculus, Number theory, etc.
 </li>
 <li>
 3+ years of professional mathematics experience
 </li>
 <li>
 Strong written English (C1/C2)
 </li>
 <li>
 Strong Python proficiency for numerical validation
 </li>
 <li>
 Stable internet connection
 
 
 </li>
 </ul>
 Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.
 
 
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 
 
 
 Project time expectations
 
 
 
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 
 
 
 Payment
 
 
 
 <ul>
 <li>
 Paid contributions, with rates up to $55/hour*
 </li>
 <li>
 Fixed project rate or individual rates, depending on the project
 </li>
 <li>
 Some projects include incentive payments
 </li>
 <li>
 Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project
 </li>
 </ul>
</div>

Mathematician with Python - Freelance AI Trainer

<div>
 
 
 Please submit your CV in English and indicate your level of English proficiency.
 
 
 
 
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 
 Participation isproject-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 While each project involves unique tasks, contributors may:
 
 
 <ul>
 <li>
 Design rigorous electrical engineering problems reflecting professional practice
 </li>
 <li>
 Evaluate AI solutions for correctness, assumptions, and constraints
 </li>
 <li>
 Validate calculations or simulations using Python (NumPy, Pandas, SciPy)
 </li>
 <li>
 Improve AI reasoning to align with industry-standard logic
 </li>
 <li>
 Apply structured scoring criteria to multi-step problems.
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc.
 </li>
 <li>
 3+ years of professional electrical engineering experience
 </li>
 <li>
 Strong written English (C1/C2)
 </li>
 <li>
 Strong Python proficiency for numerical validation
 </li>
 <li>
 Stable internet connection
 
 
 </li>
 </ul>
 Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage.
 
 
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 
 
 
 Project time expectations
 
 
 
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 
 
 
 Payment
 
 
 
 <ul>
 <li>
 Paid contributions, with rates up to $55/hour*
 </li>
 <li>
 Fixed project rate or individual rates, depending on the project
 </li>
 <li>
 Some projects include incentive payments
 </li>
 <li>
 Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project
 </li>
 </ul>
</div>

Electrical Engineer with Python - Freelance AI Trainer

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

The Walt Disney Company

<div><div>Job ID 10143375 Location New York, United States / Remote, United States Business Disney Advertising Date posted Mar. 02, 2026
This role is considered remote, which means the employee will work remotely on an ongoing basis and will not have an assigned workspace at a Company designated location.
<div><h4 class="jobSectionHeader">Job Summary:</h4>
<div>Department/Group Overview:
Supporting the Disney Advertising organization the Data Strategy team are subject matter experts in each of the following areas:<ul><li>
Identity</li><li>
Measurement</li><li>
Addressability</li><li>
Programmatic</li><li>
Data-forward business development</li></ul>
Job Summary:
We&rsquo;re looking for an individual to join the Data Science, Strategy, and Instrumentation Organization as a Sr. Data Science Engineer. The individual that fills this role will be responsible for driving data science and engineering development within a range of Advertising focus areas including identity, interoperability, measurement and Clean Rooms. They will be considered a technical expert within the team and have a major say in influencing development standards and data architecture. The ideal candidate naturally demonstrates initiative and a desire to design and optimize engineering processes.
Responsibilities and Duties of the Role:
Develop Pipelines + Implement Code (75%)<ul><li>
Design, develop and oversee the deployment of code in SQL, Python or other applicable languages to build client-facing analytical tools (REST APIs) and complex data pipelines.</li><li>
Design and develop the orchestration of processes (via Airflow or native cloud tools) that ingest, join and process terabytes of both structured and unstructured data from multiple sources to distribute to storage repositories and API endpoints for data collaboration, AI and machine learning deployment initiatives.</li><li>
Work with business leadership and technical teams to gather requirements and ensure development work meets business needs; communicate architectural designs to leadership to ensure scope is appropriately captured.</li><li>
Establish design standards for the development of data pipelines and engineering tools that leverage AI/ML; ensure code is consistent and repeatable.</li></ul>
Provide Thought Leadership &amp; Mentorship (25%)<ul><li>
Provide mentorship to junior team members by assisting with the scoping and architecture of projects from a technical lens.</li><li>
Provide expertise in development and architecture best-practices within SQL, Python, Airflow and cloud environments such as Google Cloud, Snowflake and AWS.</li></ul>
Required Education, Experience/Skills/Training:<ul><li>
Bachelor&rsquo;s degree in computer science, Mathematics, Statistics or related field and minimum of 5 years of experience (or Masters degree and minimum of 3 year of experience) working in a data engineering role.</li><li>
Proficiency using SQL within Cloud environments, preferably Google Cloud and Snowflake.</li><li>
Proficiency developing code, pipelines and orchestration processes in Airflow using Python.</li><li>
Proficiency in bash and other command-line programming tools such as Google Cloud/AWS SDKs and Snowflake SnowSQL.</li><li>
Experience creating technical documentation and writing/creating visuals to scope requirements for developers to implement.</li><li>
Experience working in an agile environment helping lead development of requirements, management of workflows and priorities, and generation of feedback to a data team.</li><li>
Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks &quot;why&quot;) and a hands-on/execution capacity (detail-oriented, conscientious).</li><li>
Great organization, communication, and teamwork skills.</li><li>
Preference given to experience in digital advertising and advertiser-facing data products such as Data Clean Rooms.</li></ul>
#DisneyAdvertising 

The hiring range for this remote position is $135,200 to $208,400 per year, which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate&rsquo;s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.</div></div></div></div>

Sr Data Science Engineer

CLEAR

<div>
 
 Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 30+ million passionate members and hundreds of partners around the world, CLEAR&rsquo;s identity platform is transforming the way people live, work, and travel. Whether it&rsquo;s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.
 
 
 We&rsquo;re looking for an experienced Software Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Software Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform, one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core.&nbsp;&nbsp;
 
 
 
 
 A brief highlight of our tech stack:
 
 
 
 <ul>
 <li>
 Java / Python / React / Typescript&nbsp;
 </li>
 <li>
 Kafka / Postgres&nbsp;
 </li>
 <li>
 AWS cloud&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 What you'll do:
 
 
 
 <ul>
 <li>
 Advance our capabilities across a wide array of industries and domains and gain hands-on experience with privacy, security, data modeling and architecture&nbsp;
 </li>
 <li>
 Develop and deliver code across the full stack, driving engineering excellence by defining to best practices in testing, documentation and observability
 </li>
 <li>
 Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems
 </li>
 <li>
 Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 What you&rsquo;re great at:&nbsp;
 
 
 
 <ul>
 <li>
 3+ years of fullstack software development experience in tools like Java, Python, Typescript, React&nbsp;
 </li>
 <li>
 Working with cloud-based application development, and being fluent in at least a few of:&nbsp;
 </li>
 <ul>
 <li>
 Cloud service providers like AWS
 </li>
 <li>
 Containerization technologies like Docker and Kubernetes
 </li>
 <li>
 Collaboration, integration, and deployment tools like Github, Argo, and Jenkins&nbsp;
 </li>
 </ul>
 <li>
 Articulating technical concepts to a mixed audience of technical and non-technical stakeholders
 </li>
 <li>
 Collaborating and mentoring less experienced members of the team
 </li>
 <li>
 Comfort with ambiguity&nbsp;
 </li>
 <li>
 Curiosity about technology, belief in constant learning, and athe bility to be autonomous to figure out what's important
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 How You&rsquo;ll be Rewarded:
 
 
 
 
 At CLEAR, we help YOU move forward - because when you&rsquo;re at your best, we&rsquo;re at our best. You&rsquo;ll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning &amp; development with stipends and reimbursement programs.
 
 
 We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The base salary range for this role is $150,000-$180,000&nbsp;depending on levels of skills and experience.
 
 
 
 The base salary range represents the low and high end of CLEAR&rsquo;s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR&rsquo;s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units
 
 
 
 
 CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.
 
 
 
 
 We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.
 
 
 
 
 
 
</div>

Software Engineer, Fullstack

Explore 77+ Python engineer in New York this March. Find roles across top companies and apply now to boost your career.

77 python engineer jobs In New York

Machine Learning Engineer

Mathematician with Python - Freelance AI Trainer

Electrical Engineer with Python - Freelance AI Trainer

Electrical Engineer with Python - Freelance AI Trainer

Software Engineer, ML

Sr Data Science Engineer

Software Engineer, Fullstack