data engineer

software engineer

senior data engineer

data analytics engineer

data engineer intern

software development engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon&rsquo;s custom machine learning accelerators, Inferentia and Trainium.<br>
<br>
The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance.<br>
<br>
The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration.<br>
<br>
As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology<br>
<br>
You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers.<br>
<br>
This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have.<br>
<br>
You can learn more about Neuron<br>
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html<br>
https://aws.amazon.com/machine-learning/neuron/<br>
https://github.com/aws/aws-neuron-sdk<br>
https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success<br>
<br>
Key job responsibilities<br>
This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will:<br>
<br>
<ul><li>Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators.</li><li>Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment.</li><li>Build infrastructure to systematically analyze and onboard multiple models with diverse architecture.</li><li>Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models</li><li>Analyze and optimize system-level performance across multiple generations of Neuron hardware</li><li>Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks</li><li>Implement optimizations such as fusion, sharding, tiling, and scheduling</li><li>Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines.</li><li>Work directly with customers to enable and optimize their ML models on AWS accelerators</li><li>Collaborate across teams to develop innovative optimization techniques</li></ul><br>
A day in the life<br>
You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you&rsquo;ll create metrics, implement automation and other improvements, and resolve the root cause of software defects.<br>
<br>
You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you&rsquo;re always working on the most important initiative.<br>
<br>
About the team<br>
The Inference Enablement and Acceleration team fosters a builder&rsquo;s culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>Bachelor's degree in computer science or equivalent</li><li>5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution.</li><li>Software development experience in C++, Python (experience in at least one language is required).</li><li>Strong understanding of system performance, memory management, and parallel computing principles.</li><li>Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Familiarity with PyTorch, JIT compilation, and AOT tracing.</li><li>Familiarity with CUDA kernels or equivalent ML or low-level kernels.</li><li>Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited.</li><li>Familiar with syntax and tile-level semantics similar to Triton.</li><li>Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments.</li><li>Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, NY, New York - 184,900.00 - 250,200.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Software Development Engineer - AI/ML, AWS Neuron, Multimodal Inference

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you passionate about Big Data, Distributed systems, and large scale datasets can be integrated with new state-of-the-art AI agent-friendly data interfaces? Be part of a team of world-class engineers and industry leading experts operating one of the largest big data platforms for advertising at Amazon scale.<br>
<br>
Key job responsibilities<br>
Join our team and take ownership of significant initiatives that solve some of the toughest technical challenges in big data:<br>
<ul><li>Design and build highly scalable, fault-tolerant data pipelines processing petabytes of advertising data</li><li>Architect new data paradigms that enable real-time analytics and machine learning applications</li><li>Collaborate with data scientists, product managers, and partner teams across Amazon Ads to deliver data solutions that drive business impact</li><li>Mentor junior engineers through code reviews, design discussions, and pair programming</li><li>Contribute to technical strategy and architectural decisions for our data platform</li><li>Build monitoring, alerting, and data quality frameworks to ensure reliability at scale</li></ul><br>
Our systems are built for stability and reliability, which means our on-call shifts are manageable and focused on continuous improvement rather than firefighting.<br>
<br>
About the team<br>
We're a collaborative team of engineers who are passionate about solving complex data challenges while maintaining a healthy work-life balance. Our engineers regularly work with latest technologies&mdash;recent projects include migrating our data lake to Apache Iceberg, implementing real-time streaming pipelines with Spark, and building unified and flexible reporting solutions. We invest heavily in your growth through mentorship programs, technical design reviews, and opportunities to present at internal tech talks. We believe in sustainable engineering practices with reasonable on-call rotations (typically one week per quarter) and flexible work arrangements.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>4+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience</li><li>Experience building and operating data pipelines using Apache Spark and Scala on Amazon EMR, spanning extraction, ingestion, batch and streaming processing. Data lake design with Apache Iceberg a plus.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, NY, New York - 158,100.00 - 213,800.00 USD annually</div><p></p>

Software Development Engineer - Big Data, Brand Metrics and Benchmarks

Uber

<div>
 <strong>
  Employer:
 </strong>
 Uber Technologies, Inc.
 <br/>
 <br/>
 <strong>
  Job Title:
 </strong>
 Software Engineer
 <br/>
 <br/>
 <strong>
  Job Location:
 </strong>
 New York, New York
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Rate of Pay:
 </strong>
 $171,000 to $209,000 per year
 <br/>
 <br/>
 You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .
 <br/>
 <br/>
 <strong>
  Duties:
 </strong>
 Design, develop, and test software applications. Design, develop, and/or test software applications using company technology stack. Apply technical knowledge to evaluate complex data, developments, and projects in order to provide recommendations to resolve technical issues. Support the company's business operations and improve engineering productivity. Build software components that can be integrated into a fully functional software system. Solve production issues in product and system reliability. Build scalable software systems that handle some of the highest traffic of any system at the company. Work cross-functionally with engineers, data scientists and product managers to find ways to improve efficiency and provide a better experience for our users. Participate in the full development cycle from ideation to architecture design, to implementation, to productionization. May telecommute.
 <br/>
 <br/>
 Employer will accept a Bachelor's degree in Computer Science, Engineering (Any), Information Technology, Mathematics, Physics, or related field.
 <br/>
 <br/>
 <strong>
  Position Requires
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   C++, Python, Java, GIT, or SVN;
  </li>
  <li>
   SQL or MySQL;
  </li>
  <li>
   Data structures and algorithms development and functionality;
  </li>
  <li>
   Designing technology stacks;
  </li>
  <li>
   Debugging and monitoring for production services;
  </li>
  <li>
   Distributed systems;
  </li>
  <li>
   Software Development Lifecycle.
  </li>
 </ul>
</div>


Software Engineer

Funnel Leasing

<div><p>Funnel Leasing Inc., is hiring for a Software Engineer. The Software Engineer will be tasked with helping to build tooling and platform functionality to support our generative AI products. You&rsquo;ll work closely with experienced engineers, product managers, and designers to develop your skills and contribute to impactful projects, in addition to having a Software Engineer acting as your assigned mentor for the duration of the project. Qualified candidates are expected to be able to work between 25-30 hours per week for a duration of 16 weeks and will be paid $20.00 per hour. If you have a strong foundation in computer science, a passion for learning, and strong problem-solving skills, we&rsquo;d love to hear from you.
</p><p>Why Funnel?</p><p>
We are a 'work from anywhere' in the U.S. SaaS company that centers our services on the renter experience. We develop amazing software that has revolutionized the #proptech industry. And did we mention we have an amazing team that is on #FunnelFire!? Oh, did we forget to tell you we have unlimited PTO, benefits that begin on your first day of employment, P.I.N.K. core values that ROCK, and our team puts the FUN in Funnel!</p><p>
Who is Funnel Leasing?</p><p>
Have you ever rented an apartment and wished the process could be better? At Funnel we do too. We know we need to make the process of renting an apartment as easy as purchasing socks on Amazon. We&rsquo;ve created cloud-based marketing and leasing software that delivers the ultimate rental experience for everyone involved in the process. We&rsquo;re in the process of transforming the real estate industry through cutting-edge technology built, sold, and supported by the most passionate people you&rsquo;ll meet.</p><p></p><p>
The Software Engineer&rsquo;s essential roles and responsibilities include, but are not limited to, the following:</p><p>
Essential Duties &amp; Responsibilities</p><ul><li>
Write code to develop new features for Funnel&rsquo;s software products.</li><li>
Write unit tests and end-to-end tests to ensure software reliability and quality.</li><li>
Fix bugs and contribute to improving software performance.</li><li>
Participate in code reviews and design discussions to improve your skills.</li><li>
Collaborate with cross-functional teams to deliver high-quality software.</li></ul><p></p><p>
Education, Work Experience, and Certifications</p><ul><li>
Pursuing a Bachelor's degree in Computer Science, Software Engineering, or related experience.</li><li>
1-2 years of software engineering education or equivalent experience.</li><li>
Experience in Python (Django) for backend development.</li><li>
Understanding of REST API&rsquo;s.</li><li>
Strong communication, collaboration, and problem-solving skills.</li><li>
Eagerness to learn and grow in a fast-paced environment.</li></ul><p></p><p>
Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Funnel, we are committed to building a proptech company that is as diverse as the multifamily industry we serve, and that means to not only live our inclusivity, but also to support and encourage it among all of society. If you are excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may just be the right candidate for this or other roles.</p><p>
Equal Employment Opportunity</p><p>
Funnel provides equal employment opportunities to all qualified individuals without regard to race, creed, color, citizenship, religion, national origin, age, sex, familial or marital status, pregnancy, military or veteran status, sexual orientation, gender identity or expression, genetic information, disability, or any other legally-protected status in accordance with applicable local, state, and federal laws, regulations, and ordinances.</p><p>
Americans with Disabilities Act</p><p></p><p>
Employees must be able to perform all essential job functions, with or without reasonable accommodation.</p><p></p><p>
Job Responsibilities</p><p>
The above statements reflect the general duties, responsibilities and competencies considered necessary to perform the essential duties and responsibilities of the job and should not be considered as a detailed description of all the work requirements of the position. Funnel may change the specific job duties with or without prior notice based on the needs of the organization.</p></div><p></p>

Motimatic

<div>
 <p>
  <strong>
   About Motimatic
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Motimatic delivers results across the entire customer journey from awareness through to retention, upsell, and churn recovery. Our platform combines behavioral science, paid media, and automated outreach to help organizations acquire, retain, and re-engage the people they serve. We&rsquo;ve worked with more than 300 partners, helping teams drive measurable outcomes without adding workload.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   Motimatic is building a marketing automation platform that helps organizations deliver the right message to the right audience at the right moment. Our system orchestrates creative development, campaign publishing, and optimization across major social networks and digital channels.
  </span>
 </p>
 <p>
  <span>
   We are in the midst of a major platform rebuild designed to support more sophisticated campaign workflows, deeper integrations with advertising platforms, and a goal of developing AI-powered creative generation tools.
  </span>
 </p>
 <p>
  <span>
   We are looking for a Senior Software Engineer to help design and build the core systems that power this platform.
  </span>
 </p>
 <p>
  <span>
   This role reports directly to the CTO and will play a key role in shaping the architecture of Motimatic&rsquo;s next-generation infrastructure.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Work On
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   Motimatic sits at the intersection of adtech, automation, and behavioral science. Our platform coordinates creative generation, publishing, and optimization across multiple social networks and marketing channels.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   As a senior engineer, you will help design and build systems that:
  </span>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <span>
    Manage and orchestrate multi-channel digital campaigns
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <span>
    Integrate with external APIs from social and advertising platforms
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <span>
    Automate content publishing and campaign workflows
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <span>
    Process campaign performance data and drive optimization
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <span>
    Support AI-driven tools for creative generation and campaign production
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <span>
   You&rsquo;ll work on systems that require strong thinking around scalability, reliability, and maintainability, while enabling rapid iteration for a product used by marketers and institutions.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    System Design and Architecture:
   </strong>
   Designing scalable, secure, and reliable software solutions, choosing appropriate technologies and architectural patterns based on project requirements.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Coding and Implementation:
   </strong>
   Writing complex, high-quality, and testable code.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Technical Leadership:
   </strong>
   Leading complex projects, setting development timelines, and defining technical standards.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Collaboration:
   </strong>
   Working with cross-functional teams (Product, Design) to translate business requirements into technical specs.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Improvement and Best Practices:
   </strong>
   Driving process improvements, introducing new technologies, and reducing technical debt.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Troubleshooting and Maintenance:
   </strong>
   Analyzing and resolving complex software bugs and maintaining existing systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Experience:
   </strong>
   5+ years engineering and building features for software products (preferrably SaaS).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Engineering and Architecture:
   </strong>
   Ability to recognize and articulate patterns in requirements and implement in extensible and maintainable software components.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Soft Skills:
   </strong>
   High "EQ" for effective communication with non-technical stakeholders, and strong analytical thinking.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Ambiguity Management:
   </strong>
   The ability to take a messy, undefined problem and create an incremental plan to solve it.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Tech Stack:
   </strong>
   Experience with Django, Python, React and Postgres preferred.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Domain:
   </strong>
   Experience with social media Ad networks is a big plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    AWS &amp; Dev Ops:
   </strong>
   Some experience with core AWS resources and Dev Ops is beneficial
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Health care, vision, and dental coverage
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   HSA, FSA, basic life insurance, and disability insurance
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   401(k) plan
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Flexible PTO policy
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   12-week family leave
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Remote-friendly work environment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Equal Opportunity
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Motimatic is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity, or any other protected characteristics.
 </p>
</div>


Senior Software Engineer

Hachette Book Group

<div>
 <strong>
  Hachette Book Group
 </strong>
 is looking for a
 <strong>
  Software Engineer
 </strong>
 to join our development team to develop, maintain and design enterprise applications. This is an excellent opportunity for someone eager to learn and grow under the guidance of experienced senior engineers. The ideal candidate is enthusiastic about coding, curious about new technologies, and passionate about building high-quality software.
 <br/>
 <br/>
 You will work closely with senior team members on real-world projects, contribute to the development lifecycle, and gain hands-on experience in modern software engineering practices.
 <br/>
 <br/>
 <strong>
  This is a NYC based role. HBG&rsquo;s hybrid work model is 2 days in the office and 3 days working from home each week.
  <br/>
  <br/>
 </strong>
 <strong>
  ESSENTIAL DUTIES AND RESPONSIBILITIES:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate with senior engineers in designing, developing, testing, and maintaining software applications.
  </li>
  <li>
   Participate in code reviews and follow best coding practices.
  </li>
  <li>
   Write clean, efficient, and maintainable code.
  </li>
  <li>
   Debug and troubleshoot software issues under guidance.
  </li>
  <li>
   Learn and apply new technologies and frameworks as required.
  </li>
  <li>
   Contribute to documentation, testing, and deployment activities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  KNOWLEDGE, SKILLS &amp; ABILITIES REQUIRED:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field (or equivalent practical experience).
  </li>
  <li>
   Strong understanding of programming fundamentals, algorithms, data structures and OOP concepts.
  </li>
  <li>
   Strong fundamental knowledge on LLMs and AI tools.
  </li>
  <li>
   Proficient in Java with the ability to write and debug functional code independently.
  </li>
  <li>
   Experience with building applications, projects, or internships demonstrating hands-on coding ability.
  </li>
  <li>
   Familiarity with relational databases, REST APIs, MCP Server and version control (Git).
  </li>
  <li>
   Good problem-solving and analytical thinking skills.
  </li>
  <li>
   Strong willingness to learn, take feedback, and continuously improve.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills (Nice to Have):
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with building AI tools
  </li>
  <li>
   Exposure to cloud platforms (Azure, AWS, or GCP).
  </li>
  <li>
   Experience with frontend frameworks (Angular, React, Thymeleaf, etc.).
  </li>
  <li>
   Knowledge of REST APIs or microservices architecture.
  </li>
  <li>
   Internship or project experience in software development.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Mentorship from experienced engineers.
  </li>
  <li>
   Opportunity to work on meaningful, real-world projects.
  </li>
  <li>
   A collaborative and supportive work environment.
  </li>
  <li>
   Career growth and continuous learning opportunities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Work Authorization:
 </strong>
 Candidates must have permanent authorization to work in the United States. We are unable to sponsor visas for this position.
 <br/>
 <br/>
 As a leading book publisher, we believe that including and representing diverse voices in all aspects of our business is fundamental to what we do. Our publishing programs must reflect the broad range of backgrounds, experiences, political views and ideas that shape our society and publish books for all readers.
 <br/>
 <br/>
 Hachette Book Group provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
 <br/>
 <br/>
 The compensation range for this position is $80,000 - $100,000. Salary can vary based on a number of factors including skills, experience, and location &mdash; talk with your recruiter to learn more. There may be times that you will be required (or requested) to work overtime due to the nature of your role or exceptional workload issues or special projects.
 <br/>
 <br/>
 The following benefits are offered by the company: medical, dental, vision, basic and supplemental life, short-term and long-term disability, accidental death and dismemberment, critical illness, hospital indemnity, long-term care, health and dependent care FSA, commuter benefit plan, employee assistance program, tuition reimbursement, travel assistance, 401(k), discretionary bonus program, PTO (15 vacation days, 2 personal days, 10 holidays and generous sick leave) and group discounts on auto and home insurance and legal services. Eligibility requirements apply to some benefits and may depend on your job classification, hours worked and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms.
</div>


Bloomberg

<div><div><div><div><div><div>Senior Software Engineer - Artificial Intelligence
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Engineering and CTO
</div></div><div><div>Ref #
</div><div>10049807
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><p>Bloomberg&rsquo;s Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.</p><p></p><p><br>
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.</p><p></p><p><br>
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.</p><p><br>
Our engineers are responsible for architecting and implementing machine learning systems end-to-end, overcoming unique challenges that come with such systems in the financial domain. Some projects where we are looking for experienced software engineers include unified search, question answering, query parsing, financial instrument (e.g., fixed income) pricing, dialogue understanding.<br>
<br>
</p><p><br>
<b>Join the AI Group as a Senior Software Engineer and you will have the opportunity to:</b></p><br>
<ul>
<li>Collaborate with colleagues on production machine learning systems and applications</li>
<li>Design, experiment, and evaluate software systems</li>
<li>Write, test, and maintain production-quality code</li>
<li>Represent Bloomberg at conferences and open-source communities</li>
<li>Demonstrate technical leadership by owning cross-team projects</li>
<li>Build the libraries and frameworks that support fault tolerant and testable systems</li>
</ul>
<h3 class="jobSectionHeader"><br>
<b>We are looking for a Senior Software Engineer with:</b><br>
<b>
</b></h3><ul><li>7+ years of experience working with an object-oriented programming language (C/C++, Python, Java, etc.)</li>
<li>A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience</li>
<li>An understanding of Computer Science fundamentals such as data structures and algorithms</li>
<li>An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management</li>
</ul></div></div><div><div><div>Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus</div><div><br>
<div><br>
</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
<br>
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Senior Software Engineer - Artificial Intelligence

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