aiml - machine learning engineer, data and ml innovation

data impact lead, coffee & cocoa sustainability

commercial dock & door service technician

adversarial machine learning engineer Jobs in Seattle

adversarial machine learning engineer

ai research scientist - mllm training Jobs in Seattle

ai research scientist - mllm training

aiml - machine learning engineer, data and ml innovation Jobs in Seattle

applied scientist

data impact lead, coffee & cocoa sustainability Jobs in Seattle

senior data scientist maps eval

Apple

Join Apple Maps, where our mission is to build the best map in the world. As a Senior Data Scientist in the Maps Evaluation organization, you will be instrumental in harnessing the power of user data to strategically inform and influence critical decisions across the Maps organization. We work in a highly collaborative, fast-paced environment where you&rsquo;ll have significant autonomy to define and lead impactful projects, drive substantial change, and contribute your unique perspective to a team committed to creating something truly wonderful. 
 
Description 
 
We are seeking a highly talented and seasoned Data Scientist to join our cross-functional team, dedicated to proactively identifying opportunities and optimizing user engagement, retention, and growth within Apple Maps. You will partner closely with Product and Program teams, acting as a strategic thought leader to leverage data and inform product direction. This role offers unparalleled scope to architect, define, and build the next generation of metrics and analytical frameworks. We're looking for a creative problem-solver who can innovate within our robust privacy commitments, evolving our current metrics foundation into a comprehensive, cutting-edge insights platform. Your day-to-day responsibilities will span the full data lifecycle, from proactive exploratory data analysis and metrics design to leading deep dives and crafting and presenting executive-level strategic reports.&quot;,&quot;responsibilities&quot;:&quot;Lead the design, creation, and validation of novel metrics for user engagement, retention, and growth. 
 
Drive the development and implementation of sophisticated data products (e.g., user segmentation models, churn propensity scores, growth forecasting tools). 
 
Proactively lead deep-dive analyses to uncover insights into user behavior and inform critical business decisions. 
 
Engage with and influence partners and executive leadership to shape product strategy and roadmap with compelling, data-driven recommendations. 
 
Architect solutions to highly ambiguous product goals and complex business problems, transforming them into well-defined and solvable data science challenges. 
 
Drive the development, adoption, and best practices for advanced tools and automated data pipelines (primarily using Python and SQL-based ETL frameworks) to ensure efficiency and scalability. 
 
Mentor and guide junior data scientists, fostering their technical and analytical growth. 
 
Champion new ideas and analytical approaches, pushing the team towards innovative solutions and methodologies. 
 
Preferred Qualifications 
 
Deep expertise in user engagement analytics, retention strategies, and/or growth modeling. 
 
Extensive experience with large data sets using technologies like Hadoop and Spark. 
 
Demonstrated experience in architecting and implementing automated analytics tasks and data pipelines at scale. 
 
Proven track record of leading complex projects within highly cross-functional teams, driving consensus and delivering results. 
 
Experience mentoring junior team members and contributing to a data science community. 
 
Experience contributing to product strategy and roadmap definition. 
 
Minimum Qualifications 
 
MS/PhD in Computer Science, Statistics, Data Science, Physics, Operations Research, or similar quantitative domain. 
 
5+ years of industry experience with data analysis at web scale or relevant work experience, demonstrating increasing levels of responsibility and impact. 
 
Expert proficiency in Python for data manipulation, analysis, and modeling. 
 
Expert proficiency in at least one database language (e.g., SQL, Snowflake) for complex data extraction and transformation. 
 
Proven ability to translate highly ambiguous business questions and strategic needs into robust technical requirements and analytical solutions. 
 
Deep understanding and practical application of advanced statistical techniques and modeling, including predictive modeling and causal inference. 
 
Exceptional communication and presentation skills, with a track record of influencing product and executive leadership. 
 
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 . 
 
Pay &amp; Benefits 
 
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 $163,300 and $290,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple'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's Employee Stock Purchase Plan. You'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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Data Scientist - Maps Eval

Opendoor

<div>
 
 Data Scientist, Pricing
 
 
 
 
 
 Location: In office 4 days a week
 
 ; Seattle WA.
 
 
 
 Opendoor is transforming one of the largest, most complex markets in the world &mdash; residential real estate &mdash; using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company&rsquo;s financial performance.
 
 
 We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You&rsquo;ll operate at the intersection of economics, machine learning, experimentation, and product strategy &mdash; tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory &mdash; and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Build and maintain pricing metrics, dashboards, and frameworks.
 </li>
 <li>
 Run experiments and causal analyses to measure impact and drive decisions.
 </li>
 <li>
 Develop predictive + statistical models that improve pricing accuracy.
 </li>
 <li>
 Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
 </li>
 <li>
 Deliver insights and narratives that inform executive strategy.
 
 
 
 </li>
 </ul>
 
 Skills &amp; Qualifications
 
 
 
 
 <ul>
 <li>
 Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
 </li>
 <li>
 Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
 </li>
 <li>
 Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
 </li>
 <li>
 Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
 </li>
 <li>
 Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
 </li>
 <li>
 High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
 </li>
 <li>
 Effective communicator &mdash; able to tell the story behind the model to both highly technical and non-technical audiences.
 
 
 
 </li>
 </ul>
 
 Base salary range for this role varies. Generally, the base salary range is $143,200 &ndash; $213,000 annually + RSUs + bonus + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).
 
 
 
 #
 
 
 At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We&rsquo;ve built an end-to-end online experience that has already helped thousands of people and we&rsquo;re just getting started.
 
 
</div>

Data Scientist

Data Scientist, Product Analytics

Siri helps hundreds of millions of people find the information they are looking for. A critical part of that mission is helping them quickly find and discover local businesses, places of interest, and addresses. Users rely on us for easy, relevant access to local information, such as finding a favorite or romantic restaurant, business hours, nearby coffee shop addresses, and directions to prominent locations. The Siri Maps is part of a wider effort to power search across a variety of Apple products - including Siri, Spotlight, Safari, Messages, and more. We leverage the latest ML techniques and LLMs in order to understand queries, rank documents, and create useful, accurate, and helpful answers to users&rsquo; questions. 
 
We are seeking an experienced engineering manager who is passionate about applying Generative AI, LLMs, and other cutting-edge technology at scale to lead a search team focused on providing the most accurate and informative answers delivered in an intuitive and delightful experience for all Maps questions. You will join a team that combines strong technical skills, product vision, and a love of all things local to bring together the pieces needed to deliver a world-class Maps experience in Siri and Spotlight. 
 
Description 
 
As an engineering manager on our ML Search team, you will lead all aspects of ML architecture, technology selection, model training, fine-tuning, ablation studies, and productization. You will drive applied machine learning, using emerging technologies to solve complex mapping challenges. You will collaborate with world-class multi-functional teams, including engineers, data analysts, labelers, and validators, to develop innovative solutions.&quot;,&quot;responsibilities&quot;:&quot;Balance both technical execution and the long-term vision for the team 
 
Collaborate effectively with partner and product teams to define goals, set expectations, and shape roadmaps. 
 
Provide both technical and career mentorship, empowering your team to succeed. 
 
Strong interpersonal skills are essential for communicating technical complexities clearly to engineering partners, product management teams, and executives across Apple. 
 
Preferred Qualifications 
 
PhD degree in AI, Machine Learning, Computer Science, Mathematics 
 
Experience in evaluating and deploying multiple search features, including large-scale ML models, deep learning, and NLP solutions. 
 
Experience with geospatial data is a plus. 
 
Minimum Qualifications 
 
Master's degree or equivalent experience in AI, ML, Mathematics, Computer Science, or a related field. 
 
10+ years of experience applying and leading teams that apply sophisticated statistical and ML methods to analyze and process large, complex data sets. 
 
6+ years of experience managing ML teams and leading ML development. 
 
Experience in one or more of the following domains: Algorithms, Architecture, Artificial Intelligence, Data Mining, Deep Neural Networks, Distributed Systems, Information Retrieval, ML, NLP, and Computer Vision. 
 
Strong foundational understanding of mathematics behind modern machine learning, including linear algebra and statistics. 
 
Hands-on experience in developing &amp; supervising production code in Python or Java. 
 
Familiarity with databases, SQL, and scripting languages. 
 
Proven ability to translate requirements from design to implementation, both independently and within larger teams. 
 
Demonstrated ability to actively manage team performance and take ownership of driving outcomes. 
 
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 . 
 
Pay &amp; Benefits 
 
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 $216,600 and $325,500, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple'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's Employee Stock Purchase Plan. You'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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Machine Learning Manager, Maps Search

Cerebro

<div>
 
 Are you ready to pioneer the future of AI? We&rsquo;re seeking a
 
 Research Scientist
 
 with expertise in training
 
 Multimodal Large Language Models (MLLMs)
 
 to join an ambitious, cutting-edge team working at the intersection of
 
 AI, deep learning, and human expression.
 
 This role offers a unique opportunity to define the next wave of AI innovation by building the
 
 first real-time human foundation model
 
 that integrates text, speech, facial expressions, and body language. If you&rsquo;re passionate about pushing research boundaries while delivering real-world applications, we&rsquo;d love to hear from you.
 
 About the Role
 
 
 
 As a Research Scientist, you&rsquo;ll drive the development of advanced systems capable of
 
 understanding and generating lifelike, human-like responses
 
 in real-time. This unified model will:
 
 <ul>
 <li>
 
 Understand fine-grained human signals
 
 &mdash; from a subtle change in tone to a quirked eyebrow &mdash; and infer meaning in context.
 </li>
 <li>
 
 Generate lifelike, responsive avatars
 
 whose gestures, expressions, and tone evolve frame-by-frame to deliver genuine, social, and emotionally intelligent interactions.
 </li>
 </ul>
 
 This is an opportunity to tackle blank-page problems and shape foundational technology in an area where real-time, multimodal interaction is still an
 
 unsolved frontier.This Role is Perfect for You If You...
 
 
 <ul>
 <li>
 
 Have a PhD
 
 (or equivalent experience) in training multimodal large language models, autoregressive architectures, or related fields, with a proven track record of publishing groundbreaking research.
 </li>
 <li>
 
 Excel at deep learning
 
 and know how to run the entire ML pipeline &mdash; from data preparation and rapid prototyping to large-scale model training, benchmarking, and evaluation.
 </li>
 <li>
 
 Thrive in ambiguity
 
 and enjoy charting your own path to solve complex, unstructured challenges.
 </li>
 <li>
 Are passionate about
 
 bridging research breakthroughs with real-world applications.
 
 </li>
 <li>
 Write
 
 clean, efficient code
 
 that scales and stands the test of time.
 </li>
 <li>
 Collaborate effectively with a diverse team of brilliant minds from different domains.
 </li>
 </ul>
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 
 Shape the future of AI:
 
 This is a rare opportunity to work on foundational technology that unites text, speech, and vision into a cohesive, real-time system &mdash; tackling problems others haven&rsquo;t solved yet.
 </li>
 <li>
 
 Be part of a world-class team:
 
 Work alongside PhDs from top institutions like MIT, UW, and Oxford, with decades of combined experience at leading companies like Apple and Meta.
 </li>
 <li>
 
 Frontier research meets real-world impact:
 
 Our team has a proven track record of advancing AI avatars and audio-visual generation, publishing at top conferences, and shipping real-time ML products used by millions.
 </li>
 <li>
 
 Collaborate in-person:
 
 Join us at our Seattle HQ, where our team works together 5 days a week to drive innovation forward.
 </li>
 </ul>
 
 
 Key Details
 
 
 <ul>
 <li>
 
 Location:
 
 Seattle, Washington (In-person collaboration, 5 days/week)
 </li>
 <li>
 
 Funding:
 
 $10M seed round backed by Accel, South Park Commons, Lightspeed, and top angels from the AI industry.
 </li>
 </ul>
 
 
 What We&rsquo;re Building
 
 
 
 We&rsquo;re creating the
 
 first human foundation model
 
 that operates across text, speech, facial expression, and body language in real time. The goal? To make AI
 
 socially and emotionally intelligent,
 
 able to interpret subtle human signals and respond in a way that feels truly human.The industry has made strides in areas like voice AI and avatar visuals, but existing solutions remain fragmented. This role offers the chance to be a
 
 trailblazer
 
 in a field where the boundaries are still being defined.
 
 How to Apply
 
 
 
 If this sounds like the challenge you&rsquo;ve been looking for, let&rsquo;s connect! Apply now to join a team that&rsquo;s reshaping the future of AI &mdash; one lifelike interaction at a time.
 
 Note:
 
 This posting is intentionally anonymized to respect client confidentiality. We look forward to hearing from innovative thinkers ready to make an impact.
 
 
 Auto
 
 
 
</div>

AI Research Scientist - MLLM Training

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><ul><li>5+ years of building models for business application experience</li>
<li>PhD, or Master's degree and 6+ years of CS, CE, ML or related field experience</li>
<li>Experience programming in Java, C++, Python or related language</li>
<li>Practical experience with LLM pre-training or post-training, and experience working with organic, synthetic, agentic, or reasoning data for LLMs</li>
<li>Published research in top conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and/or demonstrated significant industry influence in the field of AI</li>
<li>Experience using Unix/Linux</li>
<li>Experience in professional software development</li>
<li>Experience working on SOTA LLMs.</li>
<li>Multiple first-author LLM-related publications in top-tier conferences (e.g., NeurIPS, ICLR, ACL, EMNLP, NAACL)</li>
</ul></div><div>Preferred qualifications:
</div><div><div><ul><li>5+ years of experience building and deploying machine learning models or developing algorithms for business applications.</li>
<li>A strong track record of publications at top-tier, peer-reviewed conferences or journals (e.g., NeurIPS, ICML, ACL, KDD, CVPR).</li>
<li>Proven ability to transition research to production-grade, scalable systems.</li>
<li>Experience with Generative AI tools, Large Language Models (LLMs), Transformers, Reinforcement Learning, or advanced Computer Vision/NLP techniques.</li>
<li>Expertise in Python, Java, or C++, as well as experience with distributed machine learning frameworks (e.g., Spark, Hadoop</li>
</ul></div></div><div><div>TCS Employee Benefits Summary:
</div><div><ul><li>Discretionary Annual Incentive.</li>
<li>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.</li>
<li>Family Support: Maternal &amp; Parental Leaves.</li>
<li>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.</li>
<li>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.</li>
<li>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.</li>
<li>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</li>
</ul></div><div>#LI-RJ2
</div><div>Salary Range-$120,000-$150,000 a year
</div></div></div></div></div><div><div><div>Location</div>
<div>Seattle, WA</div>
</div><div><div>Job Function</div>
<div>TECHNOLOGY</div>
</div><div><div>Role</div>
<div>Scientist</div>
</div><div><div>Job Id</div>
<div>401448</div>
</div><div><div>Desired Skills</div>
<div>Python</div>
</div><div><div>Salary Range</div>
<div>$120,000-$150,000 a year</div></div></div></div><div></div>

Applied scientist

VeeRteq Solutions Inc.

<div><div>Role: Business System Analyst Retail Technology</div>
<div>Location: Seattle, WA (onsite)</div>
<div></div><div>About this team
This role is on Global POS team. This team is responsible for
managing and developing new features and enhancements on Oracle Xstore POS Software. This
Business System Analyst position is technical, bridging the gap between business needs and technical
solutions and involved with projects from inception through implementation. We are seeking a highly
skilled and experienced Technical Business Analyst to join our team. The successful candidate will be
responsible for analyzing business processes, identifying technical solutions, and bridging the gap
between business needs and technology solutions. This role involves working closely with stakeholders,
development teams, and IT departments to ensure the successful implementation and optimization of
retail systems.
Our team is fast-paced and taking on exciting new initiatives to support a fast-growing business. We
strive to adopt leading-edge technology and seek to improve on the solutions continuously. We are not
afraid to try new things, have fun, and encourage each other to take on new challenges. We support
each other in growing professionally and personally. We fail forward and learn from our mistakes, thus
creating a better path ahead. We create space for team members to share feedback and ideas that can
help us continually grow as an organization.
We operate following the agile framework and leverage multiple product teams across our various
functions. We encourage our teams to form and figure out the best way to deliver critical business
initiatives. We institute a culture of fun and lightheartedness to enjoy work each day. We are inclusive
and know that we are stronger as a team than as an individual.
Experience and Skillset:
Business and functional requirement gathering for small medium complex scope; compiling
needs from multiple stakeholders into a single set of prioritized requirements.
Identify business processes, document their workflow in process maps which reflect the
relationship between the operating model and the technology platforms, and identify roles
within these processes.
Work with stakeholders to understand their business needs and challenges, assist in aligning
overall scope and sequencing recommendations with business stakeholders.
Include dependency management and architectural decisions in requirements. Engages with engineering team to design technical solutions that meet business requirements.
Oversee the implementation of technical solutions, ensuring they are delivered on time and
within budget.
Assists in testing and participates in test phases prior to UAT.
Updates technical specs based on testing, prioritized defects or post-release lessons learned
Analyze data to identify trends, insights, and opportunities for improvement.
Create and maintain reports to support business decision-making and provide actionable
recommendations.
Supports communication for application/system deployment
Works to ensure application availability and SLAs for operational readiness
Utilize or develop artifacts such as business requirements documentation, JIRA, and Confluence
to facilitate requirements alignment sessions, develop test scripts, and document requirements
for SOX auditing.
Evaluate current business processes, workflows, and roadmaps to have a comprehensive
understanding of current state and ideal future state.
Lead cross functional collaboration and drives to alignment with business partners within
constraints of the project or work.
Qualifications:
Senior Business System Analyst with over 5+ years of experience supporting IT projects within
an enterprise environment (1000+ employees). Ability to work with multiple cross-functional
teams in an agile environment.
2+ projects working as a BA on a POS solution end to end. Must have experience working with
gateways/processors. Payment experience is a must in order to understand the complexity of
the environment.
2+ projects (end to end) working with data integrations (APIs, files) - must demonstrate the
ability to analyze cross-functional flows and understand functional flows in SaaS applications.
Experience creating technical specifications and documentation for large, complex projects
Strong understanding of retail systems, including POS, inventory management, and e-commerce
platforms.
Experience with data analysis tools and technologies, such as SQL, Excel, and BI tools.
Knowledge of various project lifecycle methodologies, including Agile and Scrum.
Understanding of CI/CD pipelines and automation, Container Management, Application
Performance Engineering, monitoring, alerting, AWS Services and Architecture
Ability to determine estimates of effort and impacts for a variety of solutions and influence
technical discussions and decisions
Strong organizational skills with the ability to track and prioritize numerous tasks and to
coordinate activities with a high sense of urgency
Demonstrable analytical and problem-solving skills.
Excellent presentation, verbal, written, interpersonal and listening skills
Strong interpersonal and leadership skills including collaboration, facilitation, and negotiation
Challenges the status quo, champions change and influences others to change.
Must-haves:
Acknowledges the presence of choice in every moment and takes personal responsibility for
their life
Possesses an entrepreneurial spirit and continuously innovates to achieve great results
Communicates with honesty and kindness and creates the space for others to do the same
Leads with courage, knowing the possibility of greatness is bigger than the fear of failure
Fosters connection by putting people first and building trusting relationships
Integrates fun and joy as a way of being and working, aka does not take themselves too</div></div>

Business System Analyst – Retail Technology

Explore 130+ Senior data scientist maps eval in Seattle this March. Find roles across top companies and apply now to boost your career.