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associate software engineer Jobs in New York

associate software engineer

fullstack software engineer - incubations Jobs in New York

senior machine learning engineer – vlm/llm evaluation Jobs in New York

machine learning engineer

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 .

Machine Learning Engineer

Waymo

<div><div>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</div>
The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer. 


You will:
<ul>
<li>Work with a creative team of people who help to build the state-of-the-art Foundation Models that are used throughout Waymo&rsquo;s systems, both onboard autonomous vehicles and offboard in simulation
</li>
<li>Drive the development or significantly contribute to end-to-end evaluation systems and benchmarks for Waymo Foundation models, encompassing the entire life-cycle from pre-training and supervised fine-tuning (SFT) to reinforcement learning (RL), for evaluating the quality, safety, and realism of embodied AI agents
</li>
<li>Partner with cross-functional teams within the organization to land innovative tech in production
</li>
<li>Implement and extend large large scale data and evaluation pipelines.
</li>
</ul>You have:
<ul>
<li>Bachelor or Master&rsquo;s degree in Computer Science, similar technical field of study, or equivalent practical experience
</li>
<li>Experience in ML engineering and applied Deep Learning
</li>
<li>Experience with large scale distributed system
</li>
<li>Proficient programming skills (eg: Python, C/C++)
</li>
</ul>We prefer:
<ul>
<li>ML infra experience: training, evaluating and deploying ML models at scale
</li>
<li>Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning
</li>
<li>Proficiency and in-depth knowledge of the inner workings of an ML framework (e.g. Pytorch, JAX, Tensorflow) 
</li>
</ul><div><div><div>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
</div>
<div>Salary Range</div>
<div>$204,000&mdash;$259,000 USD</div></div></div></div>

Senior Machine Learning Engineer – VLM/LLM Evaluation

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We're seeking a Software Development Engineer to join our Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB enables merchants, vendors, and brand owners to drive incremental sales through contextually relevant ads across Amazon properties (Amazon.com, Alexa, etc.) and third-party publishers. 
 
The CAX team specializes in developing sponsored conversational experiences powered by large language models (LLMs). We're pioneering multiple industry-first initiatives that, while complex and ambiguous, offer opportunities to create significant impact for our consumers, advertisers, and the business. 
 
Key job responsibilities 
<ul><li>Drive major product and engineering initiatives</li><li>Build large-scale, low-latency distributed systems</li><li>Develop ML infrastructure and LLM-based AI workflows</li><li>Partner with our science team to implement LLM models in production</li><li>Contribute to LLMOps</li><li>Design, build, and operate customer-facing functionality impacting hundreds of millions of shoppers worldwide</li></ul> 
About the team 
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</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 designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution</li><li>Experience developing, deploying and managing AI products at scale</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 - 158,100.00 - 213,800.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer , Sponsored Products and Brands

within

<div>About the Role We are seeking an exceptional AI Engineer to join our growing team and take a leading role in building and evolving our internal AI-powered agent platform used across the organization.

In this role, you will design, build, and improve AI-powered applications that integrate large language models (LLMs) with internal tools, SQL databases, advertising APIs (Google Ads, Meta), and stateful code execution environments. You will play a critical role in improving reliability, context orchestration, evaluation maturity, and expanding Rai into document and workflow automation use cases.

Your work will directly impact 200&ndash;500 employees and potentially clients, making AI a core productivity multiplier across the organization.

Responsibilities include but are not limited to:
<ul>
<li>LLM Application Development Design, build, and maintain AI-powered applications leveraging LLM APIs, tool calling, and structured outputs.</li>
<li>Agent &amp; Tool Orchestration Develop and improve agent architectures that integrate tools such as SQL execution, Python code execution, and marketing platform APIs through MCP-style integrations.</li>
<li>Context &amp; Memory Management Design and refine multi-turn context handling, session memory strategies, and prompt structures to improve response reliability and reduce hallucinations.</li>
<li>Reliability &amp; Guardrails Implement safeguards for tool execution, SQL queries, and code execution. Improve retry logic, structured validation, and hallucination mitigation strategies.</li>
<li>Evaluation &amp; Quality Assurance Contribute to building structured evaluation frameworks for LLM-powered systems, including multi-turn testing, regression testing, and task-based success metrics.</li>
<li>Product Expansion Support expansion of Rai into document generation, tables, slide decks, and potential Google Workspace integrations.</li>
<li>Collaboration Work closely with Machine Learning Engineers, Product Managers, and Full-Stack Engineers to ensure AI systems are robust, maintainable, and aligned with business goals.</li>
<li>Continuous Innovation Stay current with advances in LLM systems, agent architectures, and applied AI tooling to continuously improve Rai's capabilities.</li>
</ul>
Requirements
<ul>
<li>Strong programming skills in Python with experience building production systems.</li>
<li>Experience building applications powered by LLM APIs (OpenAI, Anthropic, Vertex AI, etc.).</li>
<li>Deep understanding of:</li>
<li><ul><li>Context windows and token limits</li>
<li>Multi-turn conversation behavior</li>
<li>Tool/function calling</li>
<li>Structured outputs (JSON schema)</li>
<li>Prompt design and failure modes</li>
</ul></li><li>Experience integrating external APIs into production systems.</li>
<li>Proficiency in SQL.</li>
<li>Experience working with cloud platforms (GCP, AWS, or Azure).</li>
<li>Strong problem-solving skills and ability to debug complex system behavior.</li>
<li>Excellent communication and cross-functional collaboration skills.</li>
</ul>
Strong Plus
<ul>
<li>Experience designing evaluation frameworks for LLM-powered systems.</li>
<li>Understanding of embeddings, vector search, and RAG architectures.</li>
<li>Experience building agent or multi-agent workflows.</li>
<li>Experience with stateful execution environments or sandboxed code execution.</li>
<li>Experience with document automation (Google Docs, Slides, PDFs).</li>
<li>Experience building internal developer tools or productivity platforms.</li>
<li>TypeScript.</li>
</ul>
Required knowledge of:
<ul>
<li>Python</li>
<li>SQL</li>
<li>Cloud Platforms (GCP, AWS, Azure)</li>
<li>LLMs / AI APIs</li>
<li>Git / GitHub</li>
</ul>
Nice to have:
<ul>
<li>Data Warehouses (BigQuery, Snowflake, Redshift)</li>
<li>Data Transformation (dbt)</li>
<li>Semantic Layers (Cube, Looker, dbt Metrics)</li>
<li>TypeScript</li>
</ul>
Our interview process includes, but is not limited to the following:
<ul>
<li>Excel and Typing Test</li>
</ul>
We offer a competitive salary and benefits based on ability level, including:
<ul>
<li>Unlimited vacation policy</li>
<li>Monthly Phone Stipend</li>
<li>Comprehensive Medical, Dental, and Vision insurance options</li>
<li>401(K) plan with matching</li>
<li>Dog friendly office</li>
<li>Hybrid work opportunity</li>
<li>Professional Development Program</li>
<li>Bonus Perk - Seamless allowance</li>
</ul>
Base salary based on education, experience, and skills level ($145,057-$296,054)
<ul>
<li>Level 1 - Possesses essential capabilities
<ul>
<li>$145,057-$175,256
</li>
</ul></li><li>Level 2 - Possesses developing capabilities
<ul>
<li>$175,256-$205,456
</li>
</ul></li><li>Level 3 - Possesses notable capabilities.
<ul>
<li>$205,456-$235,655
</li>
</ul></li><li>Level 4 - Possesses strong capabilities.
<ul>
<li>$235,655-$265,855
</li>
</ul></li><li>Level 5 - Possesses advanced capabilities.
<ul>
<li><ul><li>$265,855-$296,054</li></ul> 
</li>
</ul></li></ul><div>About WITHIN &amp; Brkfst.io

WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own.

Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems.

Check out some of our work!

Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale.

We are, and we connect creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we're looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, &amp; more!

This is a very ambitious project and our roadmap is full of exciting features, so we're looking for people who love innovation and want to be challenged. We're a small team of scrappy individuals who are growing fast, and we're looking for someone to grow with us.

We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed.
<div>
<div><div><div><div><div><div><div>Join Our Network!

Stay connected with us and be the first to know about new opportunities, industry insights, and updates.

Follow us on:
<ul>
<li>LinkedIn</li>
<li>WhatsApp Community</li>
<li>Instagram</li>
<li>Tik Tok</li>
</ul>
</div><div>Locations
<ul>
<li>New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States</li>
<li>Bogot&aacute;: WeWork Av. Carrera 19 #100-45 Usaqu&eacute;n, Piso (Floor) 10, Bogot&aacute;, Distrito Capital de Bogot&aacute; 110111, Colombia</li>
<li>Mexico City: Av. Paseo de la Reforma 296, Piso (Floor) 25, Oficina 111, Ciudad de M&eacute;xico, CDMX 06500, M&eacute;xico</li></ul></div></div></div></div></div></div></div></div></div></div>

AI Engineer

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>5 years of experience programming in Python or C++.</li>
<li>3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 
</li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>1 year 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's degree or PhD in Computer Science or related technical field. 
</li>
<li>5 years of experience with data structures/algorithms.</li>
<li>1 year of experience in a technical leadership role. 
</li>
<li>Experience developing accessible technologies. 
</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.

AI will change the future of work in profound ways, and our products&mdash; Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.
The US base salary range for this full-time position is $166,000-$244,000 + 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>Write and test product or system development code. 
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). 
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. 
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 
</li>
<li>Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains. 
</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>

Senior Software Engineer, AI/ML GenAI, Google Workspace

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

Google DeepMind

<div>
 Snapshot
 
 
 Members of the Affective Computing group contribute broadly across DeepMind efforts including to the Gemini program, frontier agents research, and applied research for Google products. The group emphasizes research in socio-emotional understanding and generation tasks across modalities, and increasingly in multi-agent settings. Research topics include, but are not limited to, better audio-visual representations for understanding emotional expressions, controllability of expressions in generated imagery/video/speech, conversational naturalness, affective rewards for reinforcement learning, human-AI collaboration, and safety mechanisms for harms like emotional manipulation and over-reliance.
 
 
 
 About Us
 
 
 
 Artificial Intelligence could be one of humanity&rsquo;s most useful inventions. At Google DeepMind, we&rsquo;re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
 
 
 The role
 
 
 Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.
 
 
 In this role, responsibilities will include making key contributions to Gemini workstreams, and pushing the frontier of agentic experiences.
 
 
 Key responsibilities
 
 
 <ul>
 <li>
 Prototyping: Developing new human-AI interaction experiences that waypoint and make tangible a positive future of relational and emotional AIs.
 </li>
 <li>
 Data: Unlocking new multimodal affective capabilities in large models, both pre-training and post-training, focusing on social agents.
 </li>
 <li>
 Models: Improving quality of models for understanding and generation. This may include research on improving tokenizers, training with implicit rewards, and/or general model behavior via fine-tuning.
 </li>
 <li>
 Evals: Better evaluation methods (human, auto raters, automated metrics) to measure quality of open-ended tasks.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
 
 
 <ul>
 <li>
 PhD in Artificial Intelligence, Machine Learning, or related field. Open also to backgrounds in Psychology (Social, Developmental, Cognitive), but must have strong Computational emphasis.
 </li>
 <li>
 Proven experience working with LLMs. Must have some multimodal experience, even if not a main focus.
 </li>
 <li>
 Proven track record of research and publications in one or more of the following areas: affective computing or sciences, LLM benchmarking, conversational design, audio/video generation.
 
 
 </li>
 </ul>
 In addition, the following would be an advantage:
 
 
 <ul>
 <li>
 Experience of JAX, PyTorch or similar training frameworks
 </li>
 <li>
 Experience in Python and/or C++
 </li>
 <li>
 Experience applying and productionizing state-of-the-art multimodal research
 </li>
 <li>
 Diverse experience collaborating cross-function and with other researchers
 
 
 </li>
 </ul>
 The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
 
 
 At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
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Research Scientist, Socioaffective Agents

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