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City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring for a Senior Data Scientist! This position is fully remote. Overview We are seeking a highly skilled and experienced Data Science ML Operations and Gen AI Engineer (or Senior) to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better healthcare. The Senior Data Scientist will leverage data to improve healthcare outcomes and drive data-driven decision-making. Leveraging expertise in statistical analysis and machine learning, this role will collaborate with cross-functional teams to solve complex healthcare challenges and enhance patient care. This role will directly contribute to advancing medical research, optimizing healthcare processes, and delivering innovative solutions in the healthcare industry. As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML AND Gen AI models to production and maintain their health and integrity while in production. Your expertise in machine learning and Gen AI, coupled with a strong background in software development, will be instrumental in driving the success of Sentara's AI/ML initiatives. Qualifications: • 5+ years building production software/ML systems, including 1+ years of experience with LLMs/GenAI. • Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/GCP). • Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production. • Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring). • Experience with EPIC health platform is highly preferred • Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring. • Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake • Experience with Agile/Scrum methodology and best practices Preferred: • Previous work experience with Generative AI and ML Ops in healthcare EPIC environment • Understanding of use and implementation of Vector Databases • Kubernetes container orchestration experience Responsibilities • Responsible for design and development of production-grade Machine Learning ops and Gen AI solutions • Lead hands-on delivery of scalable GenAI solutions from problem framing prototyping evaluation production monitoring. • Build internal copilots/assistants (knowledge search, code/content generation) and client-facing products (conversational analytics, summarization, recommendations, workflow automation). • Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. prompt engineering. • Implement guardrails, safety filters, prompt/version management, latency/throughput optimizations, and cost controls. • ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently. • System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities. • Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs. • Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges. • As part of Sentara's Data Science team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations. Specific responsibilities will include: • Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. • Take offline models data scientists build and turn them into a real machine learning production system. Education Bachelor's Degree (Required) Certification/Licensure No specific certification or licensure requirements Experience Required to have 5+ years of experience as a Data Scientist with a strong focus on Azure and Microsoft Data Science, AI, and machine learning toolsets. Required to have strong problem-solving skills and the ability to tackle complex healthcare challenges using data-driven approaches. Can help the Data Science infrastructure building up, working with ML Ops team for model implementation, mentoring and developing junior staff. Required to have s trong proficiency in data analysis, data manipulation, and data visualization using Python. Required to have f amiliarity with healthcare-related datasets, medical terminologies, and electronic health records (EHR) data. Required to have knowledge of statistical techniques, hypothesis testing, and experimental design for healthcare research. Required to have s trong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost, TensorFlow, or Keras). Required to have solid understanding of data engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development. Required to have experience in technologies, frameworks and architecture like Java or Python, Angular, React, JSON, Application Servers, CI/CD is preferred. Required to have experience with one or more AI automations platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About The Role As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! Primary Job Responsibilities Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards Contribute to a culture of technical excellence by sharing knowledge, pairing with teammates, and actively participating in code and design reviews. Provide situational guidance to junior engineers and contribute to team best practices Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook's AI capabilities Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Skills And Qualifications Bachelor's degree in Computer Science, Mathematics, Data Science, or related technical field, advanced degrees are preferred 2+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction Demonstrated expertise in natural language processing (NLP) and machine learning, including hands off experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit learn, pandas, numpy, TensorFlow, and PyTorch Experience delivering production grade GenAI or LLM based systems with measurable business impact Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus Practical experience with cloud native development, containerization, and orchestration technologies such as Docker and Kubernetes Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high performance, reliable solutions Excellent communication and collaboration skills, with experience working cross functionally with product managers, engineers, and data scientists in globally distributed teams Experience working in fast paced, data driven environments. Prior exposure to fintech or financial data platforms is a strong advantage Experience authoring research papers for peer reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred Must be authorized to work in the United States without the need for visa sponsorship now or in the future Benefits + Compensation at PitchBook Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $125,000-$180,000 Target annual bonus percentage: 10% Working Conditions At the heart of our company is a belief in the power of in person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we've heard creates a sense of belonging within PitchBook and strengthens the PitchBook community. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

Get AI-powered advice on this job and more exclusive features. Base pay range $160,000/yr - $180,000/yr About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate tech and Silicon Valley investors. For more information, please visit . Role Description As a Senior Data Engineer at Gridware, you will design and scale the data infrastructure that powers our real time grid monitoring platform. You'll build high performance pipelines that transform massive streams of sensor and telemetry data into actionable insights-helping detect faults, predict failures, and strengthen the grid that powers entire communities. Responsibilities Deploy and manage Unity Catalog to standardize data governance, lineage, and access control across data domains. Design, develop, and maintain scalable data pipelines and architectures. Implement data ingestion, transformation, and storage solutions. Ensure data quality and integrity across various data sources and destinations. Collaborate with software engineers, data scientists, analysts, and other stakeholders to meet data requirements. Optimize and tune data workflows for performance and efficiency. Monitor, troubleshoot, and resolve issues in data pipelines and related systems. Document data processes, architecture, and workflow procedures. Required Skills 4+ years of experience in data engineering or related roles, building and scaling real time data infrastructure. Experience designing and maintaining data lakes and lakehouse architectures with governance and access controls. Strong in Python and SQL, with deep experience in relational, time series, and streaming databases. Hands on with modern data stacks-Spark, Kafka, Databricks, Grafana, and other cloud native tools. Skilled in data modeling, ETL/ELT pipelines, and real time streaming architectures for production systems. Familiar with CI/CD, version control, and data governance/security best practices. Bonus Skills Experience with real time data processing and streaming analytics frameworks. Familiarity with IoT and embedded systems, including sensor data pipelines and edge computing. Hands on with Docker, Kubernetes, and Protobuf in production environments. Exposure to machine learning workflows and real time monitoring for IoT and time series data. Comfortable operating in a high growth startup environment, adapting quickly across domains. Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered). Paid parental leave. Alternating day off (every other Monday). "Off the Grid", a two week per year paid break for all employees. Commuter allowance. Seniority level Mid Senior level Employment type Full time Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Gridware by 2 . Location: San Francisco, CA.

Do you want to join a team of talented software engineers who are helping to revolutionize mobility to the cloud for their customers? AWS is seeking an exceptional developer to work on the challenging problem of accelerating our customer's journey from on-premises computing to running their businesses on AWS. As a software developer, you will be part of a team that designs and builds an agentic solution that helps large enterprise companies migrate their computing to AWS. Delivering a reliable and high-performance service at AWS scale requires engineers with extraordinary technical expertise and boundless creativity. At Amazon, we also expect engineers like you to interact with customers, to understand our business goals, and to innovate rapidly, delivering high-quality and ground-breaking functionality. What does it take to thrive as a developer at AWS? You need to be creative, curious, responsible, and able to work with others to rapidly turn an idea into working code. You're excited about writing code, implementing big ideas, and helping to coach those around you to raise the team's bar for code quality. You want the opportunity to grow your technical and professional skills while helping AWS grow. You relish the opportunity to dig into complex operational issues and to help customers build the next generation of web applications. You're someone who knows how to work hard and deliver results but is also able to have fun while they are doing it. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. EEO/Accommodations Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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 for more information. If the country/region you're applying in isn'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 & AD&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 . USA, MA, Boston - 168 400.00 USD annually

At Mantari Industries, we're replacing yesterday's public sector weather systems with a full stack, AI-native platform that senses, models, and predicts Earth's atmosphere and oceans in near real time. Our mission is to sense Earth in its entirety - oceans, skies, and space - and close the gap between what nature does and what humanity knows. By building a distributed network of sensors fused with breakthrough AI, Mantari transforms raw environmental signals into actionable intelligence so that the world's most critical outcomes, from global trade and securing grids to defending nations, are guided not by uncertainty, but by foresight. Our autonomous edge sensing fleets, deep learning forecast models, and integrated customer decision engines will create the most precise weather intelligence on the planet-empowering industry, strengthening climate resilience, providing vital intelligence to American warfighters, and opening billion-dollar markets that don't exist yet. Backed by premier venture capital and led by engineers and scientists who've landed rockets and pioneered novel AI forecast techniques, we move fast, own the hard problems end to end, and measure success in real world impact. If you want to build frontier tech with outsized consequences, welcome aboard. Description The Head of Software will own the architecture and implementation of Mantari's full-stack weather intelligence platform - the software backbone that powers sensing, data assimilation, forecasting, analytics, and decision delivery. You'll design and lead the buildout of the core platform that ingests global sensor data, runs large-scale model training and inference, manages distributed compute pipelines, and serves forecast and analytic products to customers via APIs and integrated applications. This is a systems leadership role: you'll define the architecture, hire and mentor the engineering team, and ensure the platform meets Mantari's demanding standards for scale, resilience, latency, and security. You'll partner closely with the Head of Weather (who owns forecasting science), and Growth team and Forward Deployed Engineers (who integrate customer systems). Your job: turn the full-stack vision into code and build the infrastructure of foresight. Key Responsibilities Architect Mantari's end-to-end platform, spanning: Sensor platform autonomy and edge compute Sensor data ingestion and transformation Data assimilation and model runtime orchestration Scalable model training and distributed inference API services and analytics layers Secure multi-tenant customer delivery Lead software design for modular, cloud-native, and high-availability systems (microservices, container orchestration, data streaming) Define the platform runtime - how models (physics-based, hybrid, AI) are deployed, scheduled, and versioned. Verification/validation for customers is critical! Build developer velocity with best-in-class CI/CD, observability, and deployment pipelines Own cloud infrastructure (GCP/AWS/Azure), including cost optimization, GPU fleet management, and multi-region scaling Establish data platform foundations (storage, ETL, metadata, lineage, reanalysis) Collaborate with ML and atmospheric science teams to align software design with model and data needs Set technical standards across codebase, security, APIs, and reliability Recruit, mentor, and scale Mantari's software engineering team Requirements BS/MS/PhD in Computer Science, Software Engineering, or related technical field 8+ years in software architecture and systems engineering Proven experience designing and operating large-scale, cloud-native platforms (multi-service, distributed, high-throughput) Deep expertise in: Cloud infrastructure (GCP, AWS, or Azure) Container orchestration (Kubernetes, Nomad, Slurm) Data streaming and pipelines (Kafka, Beam, Ray, Spark) Microservice design, API gateways, and backend architecture Strong foundation in DevOps: CI/CD, infrastructure as code, monitoring, and observability Experience supporting ML/AI pipelines (training, inference, versioning) at scale Track record of leading teams delivering production-critical platforms Bonus Qualifications Background building real-time analytics, or computing systems/earth observation systems Familiarity with GPU-accelerated workloads, distributed training, or model serving at scale Knowledge of forecasting systems, data assimilation, or simulation pipelines Comfort working across disciplines - science, ML, software, product Strong communication skills and leadership presence How We Work Small, senior team; high autonomy, high expectations. Collaborate closely with the founding team and SMEs to push the boundaries of observation-driven AI-native weather forecasting, and turn weather into an advantage, not a roadblock. LA HQ required. Equity upside commensurate with being one of the first core team members. Competitive salary, full benefits, and hardware budget. Weather shapes every decision made on Earth. At Mantari you'll write code that moves metal, launch sensors that tame storms, and see your work ship in weeks-not years. Join us to build the world's first private full-stack weather platform and leave your fingerprints on infrastructure that will outlast us all. Apply now-let's create the future of weather, together. As set forth in Mantari's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. Professional English proficiency (B2/C1). This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands on experience working with PyTorch. We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big data analytics team. In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end to end, integrating your solutions into our data pipelines and services. You'll work closely with data engineers, software developers and product owners to ensure high quality, scalable, maintainable systems. Key Responsibilities Model Development & Productionization Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting). Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch. Develop and fine tune Large Language Models (LLMs) and build LLM driven applications. Implement Retrieval Augmented Generation (RAG) pipelines and integrate with vector databases. Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD). Data Engineering & MLOps Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark. Automate training and serving workflows with Airflow or similar orchestration tools. Monitor model performance in production; iterate on drift detection and retraining strategies. Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs. Software Development Best Practices Write production grade Python code following SOLID principles, unit tests and code reviews. Collaborate in Agile (Scrum) ceremonies; track work in JIRA. Document architecture and workflows using PlantUML or comparable tools. Cross Functional Collaboration Communicate analysis, design and results clearly in English. Partner with DevOps, data engineering and product teams to align on requirements and SLAs. About Azumo Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions. At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join our team or connect with us at . Requirements Minimum Qualifications Bachelor's or Master's in Computer Science, Data Science or related field. 5+ years of professional experience with Python in production environments. Solid background in machine learning & deep learning (CNNs, Transformers, LLMs). Hands on experience with PyTorch or similar frameworks (training, custom modules, optimization). Proven track record deploying ML solutions. Expert in pandas, NumPy and scikit learn. Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence). Strong foundation in statistics and experimental design. Excellent written and spoken English. Preferred Qualifications Experience with cloud platforms (AWS, GCP, or Azure) and their AI specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning. Familiarity with big data ecosystems (Spark, Hadoop). Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes). Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX). Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines. Hands on experience with vector databases (e.g., Pinecone, FAISS). Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph. Documentation skills using PlantUML or similar. Benefits Paid time off (PTO) U.S. Holidays Training Udemy free Premium access Mentored career development Profit Sharing $US Remuneration

Who We Are Boston Consulting Group (BCG) is a global consulting firm that partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. Our success depends on a spirit of deep collaboration and a global community of diverse individuals determined to make the world and each other better every day. BCG's Tech and Digital Advantage (TDA) practice focuses on helping clients deliver competitive advantage and business superior performance through data, technology and digital. BCG Platinion sits within the TDA practice and is at the heart of the strategic impact we have with our clients. Our consultants and experts globally work across all industries and provide deep experience and expertise in a wide variety of topics including Digital Transformation, Data & Digital Platforms, AI at Scale, Cybersecurity and Digitizing the Tech Function. At BCG, we bring together the right people to conquer complexity, drive material change, and initiate positive, long term impact. Explore our BCG Culture and Values for more information. About BCG Platinion BCG Platinion's presence spans across the globe, with offices in Asia, Europe, and South and North America. We achieve digital excellence for clients with sustained solutions to the most complex and time sensitive challenge. We guide clients into the future to push the status quo, overcome tech limitations, and enable our clients to go further in their digital journeys than what has ever been possible in the past. At BCG Platinion, we deliver business value through the innovative use of technology at a rapid pace. We roll up our sleeves to transform business, revolutionize approaches, satisfy customers, and change the game through Architecture, Cybersecurity, Digital Transformation, Enterprise Application and Risk functions. We balance vision with a pragmatic path to change transforming strategies into leading edge tech platforms, at scale. What You'll Do Senior AI Solution Architects At BCG Platinion Are Collaborative. They work closely with business stakeholders, product owners, engineers, and data scientists to deliver AI enabled solutions that address specific functional challenges. Business oriented Problem Solvers. They contribute to the design and implementation of AI driven solutions tailored to defined use cases (e.g., customer service automation, financial analysis, operations optimization). Hands on Technologists. They apply strong AI and software engineering skills to build, test, and refine AI powered workflows and applications. Comfortable with ambiguity. They adapt effectively as business requirements evolve, helping clarify use cases and refine solution approaches. Delivery focused Contributors. They support implementation, integration, and adoption of AI solutions within existing business processes and systems. Agile Practitioners. They work within iterative delivery cycles, testing and improving AI enabled solutions based on feedback and measurable outcomes. Innovative. They apply modern AI paterns, including LLMs and agentic workflows, to enhance business processes and user experiences. Developing Solution Architects. They grow their solution design capabilities through hands on delivery and exposure to broader architectural decisions. Reliable team members. They execute defined workstreams and contribute to high quality AI solution implementations under the guidance of senior architects. You're Good At We are seeking a Senior AI Solution Architect to support the design and implementation of AI enabled business solutions powered by LLMs and agentic systems. This role is ideal for someone who enjoys hands on development while building expertise in translating functional requirements into scalable AI applications. You will work with business and technical teams to implement intelligent solutions that integrate LLMs, enterprise systems, and domain workflows. AI Architecture & Solution Design Contribute to the design of AI enabled solutions aligned to defined business use cases and functional requirements. Implement AI driven workflows leveraging LLMs, agentic patterns, and structured/unstructured data sources. Build and extend RAG based components to support contextual reasoning and knowledge retrieval. Support integration of AI solutions with enterprise systems, APIs, and operational tools. Follow established design principles and contribute feedback to improve solution patterns and implementation standards. Assist in balancing solution usability, performance, and cost considerations. Prototyping & Validation Develop solution prototypes and technical proofs of concept to validate business use cases. Experiment with prompts, retrieval strategies, and orchestration logic to improve functional outcomes. Work closely with engineers and solution leads to refine feasibility and technical design decisions. Implementation Management and Support Support deployment of AI solutions into development and production environments. Assist with testing, validation, and performance evaluation of AI enabled workflows. Contribute to monitoring, troubleshooting, and continuous improvement of implemented solutions. Follow defined standards for versioning, documentation, and model lifecycle management. Communication and Collaboration Communicate technical solution details clearly within project teams and with immediate stakeholders. Support preparation of documentation, solution summaries, and implementation materials. Collaborate closely with business users and technical teams to ensure solution alignment and usability. Participate in design workshops and working sessions, contributing implementation insights and recommendations. Incorporate feedback from senior team members to continuously improve technical output. Team Management Support junior team members through knowledge sharing and collaborative delivery. Contribute positively to team culture and ways of working. Seek and apply feedback to strengthen solution design and implementation quality. Demonstrate professionalism and alignment with BCG's culture and client first values. Innovation and Growth Stay current on emerging AI solution patterns across industries and functional domains. Experiment with new AI tools and techniques to expand solution design capabilities. Build depth in AI enabled business solution delivery through hands on experience. Actively pursue learning opportunities to grow toward broader solution architecture responsibilities. Contribute technical input to proposals or internal initiatives when appropriate. What You'll Bring 4+ years of experience in software engineering, data engineering, or AI enabled system development. BS in information technology, business administration, computer science, information systems, or system controls & engineering or a related field. Hands on experience building or integrating AI/ML or LLM based components within business solutions. Solid understanding of business workflows and functional use cases within at least one domain or industry. Proficiency in one or more programming languages such as Python or JavaScript is good to have. Hands on experience using AI assisted coding tools (e.g., Cursor, Claude Code, Replit, Lovable) to support development, debugging, and rapid iteration of AI solution components. Familiarity with modern AI frameworks and libraries (e.g., LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar). Working understanding of RAG, MCP, prompt orchestration, vector databases, and agent based solution components. Basic understanding of API integration and enterprise system connectivity. Exposure to deploying AI solutions within cloud environments (AWS, Azure, or GCP). Strong problem solving skills and attention to quality and usability. Ability to explain technical concepts clearly within a project team and to functional stakeholders. Willingness to learn and grow in fast paced, ambiguous consulting environments. Agile mindset with focus on delivering measurable business value. Business fluent written and spoken English language skills. Willingness to travel to work with clients and BCG teams as needed. Gen AI fluency (e.g., proven usage of GenAI such as ChatGPT, Claude) and validation of response. Additional info At BCG, we care about our people, and offer best in class benefits to support you personally and professionally throughout your different life experiences including: An opportunity to work organically across disciplines and across BCG, we offer a unified and unrivaled opportunity that combines strategic thinking with hands on applications. A unique experience to work alongside a team of passionate and driven problem solvers with a mission to deliver innovative and valuable digital solutions in a supportive environment. BCG pioneered strategy consulting more than 50 years ago, and we continue to innovate and redefine the industry. We offer multiple career paths for the world's best talent to have a real impact on business and society. As part of our team, you will benefit from the breadth and diversity of what we are doing today and where we are headed next. We count on your authenticity, exceptional work, and strong integrity . click apply for full job details

Overview Data Science contributes to Cardinal Health within the Data & Analytics Function, which oversees the analytics life-cycle to identify, analyze and present insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base scientific methodologies from various disciplines, techniques and tools to extract knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and AI. Our mission is to leverage data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. Responsibilities Lead the Development of Innovative AI solutions: design, implement, and scale sophisticated AI solutions that address key business challenges within healthcare by leveraging areas such as Machine Learning, Generative AI, and RAG Technologies. Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. Explore and leverage Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate outputs. Shape Our AI Strategy: Work with stakeholders across the organization to understand needs and translate them into actionable AI-driven or AI-powered solutions. Act as a champion for AI within Cardinal Health, influencing the technology roadmap and aligning with business objectives. Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a distributed team, fostering a collaborative and innovative environment. Embrace an AI-Driven Culture: promote data-driven decision-making and use AI insights to drive business outcomes and improve customer experience and patient care. Qualifications 8-12 years of experience with a minimum of 4 years in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred Bachelor's degree in related field, or equivalent work experience, preferred GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth Experience building production-ready Generative AI Applications involving RAGs, LLMs, vector databases and embeddings models. Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. Experience with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support, preferred. Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences, preferred. Proficiency in Python, statistical programming languages, ML libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools, preferred. Experience in Cloud Functions, Vertex AI, MLFlow, Storage Buckets, IAM Principles and Service Accounts, preferred. Experience building end-to-end ML pipelines from data ingestion and feature engineering to model training, deployment, and scaling, preferred. Experience implementing CI/CD pipelines for ML models and other solutions, ensuring seamless production deployment, preferred. Familiarity with RESTful API design and implementation, including building APIs to integrate ML models and GenAI solutions with existing systems, preferred. Understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with emphasis on ML/GenAI, preferred. Experience in Agile development environments (Scrum or Kanban) and strong understanding of Agile principles, preferred. Familiarity with DevSecOps principles and practices, incorporating coding standards and security into the development lifecycle, preferred. What is expected of you and others at this level Applies advanced knowledge to manage a wide variety of projects Participates in developing policies and procedures to achieve goals Recommends new practices, processes, metrics, or models Works on or may lead complex projects of large scope Projects may have significant and long-term impact Provides solutions that may set precedent Independently determines methods for completion of new projects Receives guidance on overall project objectives Acts as a mentor to less experienced colleagues Anticipated salary range: $121,600 - $173,700 Bonus eligible: Yes Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being. Medical, dental and vision coverage Paid time off plan Health savings account (HSA) 401k savings plan Access to wages before pay day with myFlexPay Flexible spending accounts (FSAs) Short- and long-term disability coverage Work-Life resources Paid parental leave Healthy lifestyle programs Application window anticipated to close: 11/05/2025 If interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by factors including geographical location, relevant education, experience and skills and an evaluation of internal pay equity. Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. To read and review this privacy notice click here ()

About Us Sustainable Talent provides flexible workforce solutions, connecting top-tier talent with leading global organizations. We partner with some of the world's most innovative companies to help them scale their teams with the right expertise. This opportunity is with one of our global high-tech clients, a leader in AI-driven technology and digital transformation. Our client is at the forefront of artificial intelligence, leveraging cutting-edge data science and machine learning to solve complex challenges. About the Role Our client is seeking a Python Developer to develop and optimize applications that support machine learning and data science initiatives. You'll work on building scalable data pipelines, deploying AI models, and ensuring performance and efficiency in production environments. Collaboration with data scientists and cross-functional teams will be key to transforming research into real-world solutions. If you're passionate about AI, cloud technologies, and writing clean, efficient code, this is an exciting opportunity to contribute to cutting-edge innovation. What You'll Do Develop and optimize Python-based applications that support data science and machine learning initiatives. Implement and deploy machine learning models using TensorFlow, PyTorch, and Scikit-learn. Design and build scalable data pipelines to preprocess and transform large datasets for AI/ML applications. Work closely with data scientists to translate research into production-ready ML solutions. Develop predictive analytics and deep learning solutions to enhance business intelligence and decision-making. Ensure model performance optimization and scalability in production environments. Integrate ML models into cloud-based platforms (AWS, GCP, Azure) and microservices architectures. Write clean, efficient, and well-documented Python code following software engineering best practices. Collaborate with cross-functional teams to drive innovation and improve AI-driven products. What We're Looking For 7+ years of software engineering experience with a strong focus on Python development. Expertise in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. Proficiency in data manipulation and processing libraries (Pandas, NumPy, SciPy). Strong understanding of predictive analytics, deep learning, and AI model development. Hands-on experience with big data processing technologies, including Spark, Hadoop, or Databricks. Proficiency in cloud platforms (AWS, GCP, or Azure) and MLOps best practices. Experience working with databases such as PostgreSQL, MySQL, MongoDB, or NoSQL databases. Strong knowledge of data structures, algorithms, and software engineering principles. Experience with API development and integrating AI models into scalable applications. Strong problem-solving skills and ability to communicate complex technical concepts effectively. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or equivalent experience. Why Join Us? Work with a global high-tech AI-driven company leading in data science and machine learning. Engage in high-impact AI/ML projects that drive innovation and business intelligence. Competitive salary and career growth opportunities. We offer full benefits, flexible PTO, and amazing company culture! Be part of a diverse, inclusive, and collaborative work environment that fosters creativity and excellence. How to Apply If you're an experienced Senior Python Developer passionate about AI, machine learning, and data-driven innovation, we want to hear from you! Apply today by submitting your resume and a brief cover letter detailing your relevant experience. Sustainable Talent is an Equal Opportunity Employer and is committed to fostering an inclusive workplace. We prohibit discrimination and harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected characteristic under applicable laws.

Overview Equilibrium Energy is a team of technologists, power market experts, and AI pioneers reimagining how the world's most critical industry operates. We're building a first-of-its-kind AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. At EQ, you'll join a tight-knit group of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation. Equilibrium Energy is a well-funded, Series B clean energy startup backed by prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise with a commitment to modern digital approaches. We are collaborative, talented, passionate, and resourceful, and we aim to lay the foundation for our important mission and ambitious plan. What we are looking for Equilibrium Energy is building the platform that will power the clean energy transition. As a Staff/ Sr Staff Software Engineer- Data Engineering, you will play a critical role in shaping our long-term data architecture. You'll lead the design and implementation of high-impact data initiatives that support energy trading, forecasting, and AI development. This is a hands-on role that blends platform engineering, advanced data processing, and cross-functional collaboration. You'll help scale our systems to enable near real-time decision-making and empower traders, data scientists, and operators to move faster with confidence. What you will do Design and implement the long-term data architecture using modern technologies and frameworks. Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt-ingesting data via APIs, web scraping, and streaming sources. Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster. Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store. Optimize workflows for performance and cost efficiency. Drive large, cross-functional data initiatives from planning to execution. Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics. Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products. Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design. Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing. Minimum qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field. 7+ years of progressive experience in data or software engineering. Advanced programming skills in Python and SQL. Experience building globally distributed data systems and real-time pipelines. Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka. Strong knowledge of relational and NoSQL databases (e.g., Postgres, MySQL, MongoDB, ElasticSearch, Cassandra). Familiarity with data warehousing and cloud computing (Databricks and AWS preferred). Experience mentoring engineers and providing architectural direction. Strong analytical skills, with the ability to work with unstructured or ambiguous datasets. Commitment to data quality, testing, and observability. Experience with both OLTP and OLAP data processing systems. Nice to have additional skills Experience with energy market data or weather data sources (e.g., NWS, NOAA, Yes Energy). Experience using dbt for transformations and data quality checks. Collaborating with data science teams to build and productionize ML pipelines. Familiarity with DataOps practices and CI/CD for data workflows. Knowledge of real-time data technologies, graph databases, or unstructured data processing. Understanding of power systems, grid operations, or financial aspects of energy trading. Not sure this is the right role for you? We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. What we offer Equilibrium is composed of deeply knowledgeable industry experts across all functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. We are now designing components better and in a holistic and novel way to achieve global scale and climate impact. We pride ourselves on our empathetic and collaborative culture, honest and direct but respectful communication, and a balanced, flexible, and remote-first work environment. Employee benefits include: Competitive base salary and a comprehensive medical, dental, vision, and 401k package Opportunity to own a significant piece of the company via a meaningful equity grant Unlimited vacation and flexible work schedule Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.

Organizations today are under growing pressure to navigate the transition to clean energy - not just to meet sustainability goals, but to manage risk, control costs, and build long-term resilience. Yet the complexity of energy markets and a lack of accessible tools have made it difficult for most companies to take meaningful action. Verse was created to change that. Our mission is to make the case for clean energy irrefutable. Through our AI powered platform, Aria, we help organizations plan, procure, and operate clean energy to achieve their financial and sustainability goals. Verse transforms clean energy ambition into action - giving businesses the clarity and confidence to lead in a rapidly evolving energy landscape. The Role We're seeking an experienced Senior Product Manager to lead the development and delivery of Verse's groundbreaking Energy Storage Platform. This is a high impact, high visibility role where you'll coordinate a cross functional team of 20+ engineers, data scientists, and specialists to build industry leading battery optimization software that maximizes profitability for distributed energy resources. You will own the product roadmap for the Energy Storage product - a critical new platform responsible for the real time control and revenue optimization of distributed battery assets. You'll work closely with customers, Engineering, Data Science, and Design to translate customer requirements into intuitive software experiences that power battery assets across North America. This is a high impact role at the intersection of energy markets, real time systems, and enterprise software - ideal for someone who thrives on technical complexity and wants to shape the future of grid scale energy storage. Key Responsibilities Own the end to end product vision and roadmap for the BESS platform, spanning site controls, cloud optimization, and operational interfaces. Define product strategy that balances customer commitments, market opportunities, and technical feasibility. Conduct user research with operators, asset managers and field services teams to deeply understand workflows and pain points. Write detailed product requirements documents (PRDs) with user stories, acceptance criteria, and technical specifications. Partner with Engineering to scope features, prioritize the backlog, and make trade off decisions across multiple workstreams. Collaborate with Data Science to define requirements for forecasting models, optimization algorithms, and market analytics. Work with Design to create intuitive interfaces for complex real time monitoring, control, and revenue management workflows. Define success metrics and monitor product performance through analytics, customer feedback, and operational KPIs. What We're Looking For (Minimum Qualifications) 5+ years of product management experience. Direct experience building software in an electricity context, such as a BESS platform, energy management system (EMS), or distributed energy resource management system (DERMS). Experience working on technically complex platforms - real time systems, data intensive applications, IoT, or industrial software. Strong technical foundation - comfortable with system architecture, APIs, data pipelines, and collaborating deeply with engineers and data scientists. Excellent written and verbal communication skills, with experience writing PRDs, presenting to executives, and engaging with customers. Track record of shipping products from concept through launch and iteration in an agile environment. What Will Make You Stand Out (Preferred Qualifications) Familiarity with multiple BESS OEMs (Tesla, Sungrow, Fluence, etc.). Understanding of optimization, forecasting, or machine learning as applied to energy systems. Technical degree (CS, Engineering, Physics) or equivalent hands on experience. Experience at early stage startups building products from zero to one. What Makes Verse a Great Place to Work? Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations Base Pay Range $130,000-$200,000 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks Competitive compensation and equity grant at a high growth start up. Comprehensive benefits package including medical, dental, and vision insurance, and 401k. Flexible hours and unlimited PTO. Diverse and inclusive working environment. Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients. The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know when to "roll your own" and when to outsource a particular step in the modeling process. They will engineer custom solutions to solve complex data-related sports challenges across multiple leagues. This position is 100% remote Responsibilities Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency. Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow. Build, test, deploy and maintain production systems. Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages. Support maintenance and optimization of cloud-native EDW and ETL solutions. Maintain and promote best practices for software development, including deployment process, documentation, and coding standards. Experience applying large scale data processing techniques to develop scalable and innovative sports betting products. Use extensive experience to build, test, debug, and deploy production-grade components. Experience applying large scale data processing techniques to develop scalable and innovative sports betting products. Participate in development of database structures that fit into the overall architecture of Swish systems Qualifications Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs A proven background in quantitative analytics, trading, or engineering is required for this position Demonstrated experience developing data science modeling systems and infrastructure at scale Experience with Python and exposure to modern machine learning frameworks Proficient in SQL; experience with MySQL Background and/or interest in Rust preferred Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback Strong communication skills when discussing technical concepts with technical and non-technical colleagues Base salary: $165,000 - $195,000 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.

Overview Scientific Data Architect - Life Sciences Data & AI About the Role: We're seeking a Scientific Data Architect to design and deliver next-generation data solutions that accelerate discovery across the life sciences. You'll work hands-on with scientists and engineers to transform complex experimental workflows into scalable, cloud-based data models, pipelines, and visualization tools. If you love bridging science, data, and engineering -and thrive in collaborative, high-impact environments-this role is for you. What You'll Do Partner with R&D teams to map and model scientific data workflows Build scalable data pipelines and integrations using Python , APIs, and cloud tools (AWS preferred) Develop visualization and app frameworks (e.g. Streamlit, Plotly, Holoviews ) Design extensible, reusable data models (tabular & JSON) for scientific data Collaborate with business analysts, data scientists, and AI/ML engineers to deliver production-ready solutions Rapidly prototype and iterate through demos and stakeholder feedback What You Bring Ph.D. (7+ yrs) or M.S. (10+ yrs) in life sciences, bioinformatics, or computational disciplines Proven experience designing data architectures and pipelines for scientific or R&D environments Strong Python development skills; experience with APIs and data integration Familiarity with ELN/LIMS , scientific file formats, and lab informatics systems Excellent communicator who can engage both technical and scientific stakeholders Seniority level Mid-Senior level Employment type Full-time Job function Research Industries Software Development and Biotechnology Research

Overview About this opportunity: This position needs to be located in one of the following areas: Boise, Santa Clara, Plano, or EST preferred. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position. Grow with us About this opportunity: This position needs to be located in one of the following areas: Boise, Santa Clara, Plano, or EST preferred. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position. We are seeking an experienced and motivated Senior Product Manager to define and execute the product strategy for AI-driven solutions within our cloud management platform (NetCloud), with a focus on Private 5G and enterprise wireless use cases. This role is part of a team responsible for introducing and accelerating new technology adoption and delivering high-value capabilities that solve operational challenges for customers. Why Join Us? This is a high-impact, high-visibility role at the intersection of three transformative technologies today: AI, Cloud, and Wireless. You will have the opportunity to shape a growing product category and directly enable business transformation of top-tier global enterprises. What You Will Do Product Strategy & Vision: Define the strategic roadmap and product vision for leveraging AI/ML to enhance the management, orchestration, monitoring, and optimization of private 5G networks and other enterprise wireless/networking infrastructure within the cloud platform. Customer & Market Insight: Deeply understand the challenges faced by network operators, IT teams, and developers managing private 5G and enterprise edge infrastructure. Conduct competitive analysis and market research to identify opportunities for differentiation through AI. Feature Definition & Execution: Translate market needs and technical possibilities into detailed product requirements and acceptance criteria. Prioritize the backlog to maximize customer value and business impact. Go-to-Market (GTM) Strategy: Collaborate closely with Marketing, Sales, and Solutions Engineering to develop compelling messaging, sales enablement materials, and GTM plans for new AI-powered features. Cross-Functional Leadership: Serve as the product owner, working with Engineering, Data Science, UX/UI, Architecture, Compliance/Legal, and other teams to guide the entire product lifecycle from ideation to launch and iteration. Technical Translator: Act as the bridge between cutting-edge AI research/engineering and customer-facing product value, ensuring AI models and data pipelines are integrated into the product in a meaningful, scalable, cost-effective, and secure way. Business Performance: Define and track key performance indicators (KPIs) related to AI feature adoption, customer value, and overall product success. The Skills You Bring 5+ years of professional experience, with a minimum of 3+ years in a Product Management role defining and launching enterprise software or cloud services. Communication & Influence: Exceptional written and verbal communication skills, including the ability to articulate strategic vision cross-functionally, clarify technical nuance and implementation requirements with R&D, and translate technical concepts to a non-technical audience (executives, sales, customers). This is the single most important skill for this job. Please acknowledge this emphasis. Very strong communication skills are essential. Deep Expertise in Enterprise Networking/Wireless: Solid understanding of enterprise networking concepts, including experience with mobile wireless network infrastructure, RAN, Core, User Equipment (UE), routers, and switches. Specific experience with Private 5G or enterprise LTE is a significant plus. Experience with AI/ML Products: Proven track record of defining and launching products or features that rely on machine learning, predictive analytics, or large-scale data processing (e.g., AIOps, predictive maintenance, resource optimization). Cloud Platform Experience: Familiarity with major public cloud providers (AWS, Azure, GCP) or experience with large-scale cloud management or orchestration platforms (e.g., Kubernetes, OpenStack, cloud-native infrastructure). Technical Acumen: Ability to engage in detailed technical discussions with data scientists and engineers regarding model performance, data requirements, and deployment architectures. Education: Bachelor's degree, preferably in an area of technical competence (Computer Science, Engineering, Data Science, etc). An Advanced degree or MBA is a plus. Why join Ericsson? At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at . DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: United States (US) Boise (ID) (Country/ City) Job details: Product Portfolio Management Compensation And Benefits at Ericsson At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals. Your Pay The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience. Santa Clara CA, New York, NJ, DC: $126,400-165,900. Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit's objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply. Your Health Ericsson Enterprise Wireless Solutions offers excellent, competitive employee benefits, such as: subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution. For California employees, we offer a subsidized HMO option through Kaiser. Ericsson Enterprise Wireless Solutions also offers subsidized dental and vision coverage. Your Financial Security We invest in both your short and long-term financial wellbeing. Our 401(k) plan has a 4% company match and immediate vesting. Employees will also receive company-paid employee basic life and AD&D insurance and company-paid disability benefits. Your Time Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee's start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay. Additional Benefits Ericsson Enterprise Wireless Solutions offers other company-paid benefits such as a comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off.

Join to apply for the Senior Software Engineer role at Altana Join to apply for the Senior Software Engineer role at Altana Get AI-powered advice on this job and more exclusive features. AI can be a powerful tool for good in the world - at Altana we apply AI to the world's largest organized body of supply chain data to power a more resilient, more secure, and more sustainable model of global commerce. Our customers connect to the Altana network to build resilience for critical industries and infrastructure, automate and safeguard cross-border trade, transform insurance underwriting, protect national security, combat modern slave labor, disrupt fentanyl trafficking, and ensure that their products are sustainable. Altana is backed by leading investors and used by the world's most important organizations, including Lloyd's, Maersk, multiple government agencies across the US, UK, EU, Singapore, and Australia, General Atomics, Boston Scientific, and more. We are building a global platform connecting the public and private sectors into an AI-powered network for building trusted supply chains. We operate in accordance with our values: we focus on value creation, not capture; we foster diversity and embrace difference; we embrace reality; we get things done; we amaze our clients. When you join Altana, you'll be joining a vibrant, collaborative team working together to solve complex problems with the potential for global societal impact. The Opportunity at Altana The Engineering team is responsible for building out the platforms, API's, services, workflows, and logical architectures for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. You'll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never-before-seen insights, and construct APIs to deliver our product vision. You Will Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve the goal while fitting into our overall technical and product roadmaps. Personally develop and deploy services creating and supporting our overall architecture. Build and maintain distributed data processing and machine learning pipelines. Analyze and propose technical solutions to invent, enable, and enhance our product offerings. Be responsible for automating, testing, and deploying your work. Review the code and technical designs authored by your fellow team members, and hold a high bar for quality. Mentor junior developers and help them level up their skills. You Have BS or MS degree in Computer Science, or equivalent experience. 5+ years of real-world professional experience writing back end or data-driven software in demanding environments. You've deployed production code and services to cloud-hosted environments. You have demonstrated experience delivering incremental releases from proof-of-concept to MVP to production. Self-starter with demonstrated experience working on large, complex problems. You care deeply about engineering excellence, clean code, and knowledge-sharing. You have strong written and verbal communication skills. Nice To Have, But Not Required Experience with Python Machine Learning toolsets (Numpy, Pandas, Dedupe). Experience with container technologies like Docker and Kubernetes. Technologies we love to use at Altana Languages: Python, PySpark Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS/Azure, MLFlow, Celery Datastores: Databricks and Delta Lakes This role can be based in any of our Altana hub locations, with hybrid work flexibility: New York City or San Francisco, CA Why it's great to work at Altana We love to collaborate, and we win as a team! We are committed to engineering excellence We value personal and professional development We learn from diverse backgrounds and perspectives We impact the world, from enabling developing countries to identifying drug traffickers At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We're proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation. Offers related to employment at Altana will come from an Altana.ai email address. We will never ask for payment as part of the interview or onboarding process. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Altana by 2x Sign in to set job alerts for "Senior Software Engineer" roles. 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Location: Remote (Waterlily HQ is based on San Francisco, CA) About Us Waterlily uses AI to help families prepare for the largest financial and medical event in their lives, long-term care (LTC). Through comprehensive care planning and optimization, Waterlily is bending Americas multi-trillion dollar LTC cost curve. Our Team & Culture We've built a high-performance team culture based on three core principles: We're deeply committed to transforming how families prepare for long-term care Every team member genuinely believes in our mission and understands its importance We prioritize work that drives meaningful impact for our customers and company We make decisions swiftly while remaining thoughtful and open to iteration We focus on execution and results rather than just effort, recognizing that input doesn't necessarily equal output We value team members who show unlimited potential for growth and understanding Radical Transparency & Support We practice direct, honest communication while maintaining empathy and respect Feedback flows freely in all directions - from intern to leadership and back We begin meetings with brief check-ins to understand each other's context We create safe spaces for vulnerability and authentic collaboration We maintain high standards while supporting each other's growth and wellbeing Our team comprises some of the brightest, most ambitious, playful, and friendly people youll meet. Youll be working closely with our founding Waterlily team, including Lily, Evan, and Tim, and have direct access to a support team in the Philippines. Lily Vittayarukskul, our CEO, is a patented inventor who started college at 14, attending UC Berkeley, was working at NASA when she was 16, and lead product and engineering at IoT medical device startups for years before founding Waterlily. Evan Ehrenberg, our COO, is a member of Forbes 30 Under 30, started college at 11, also attending UC Berkeley, and then continued on to his Ph.D. in computational neuroscience at MIT at 16 before dropping out at 21 to found Clara Health, a clinical trials SaaS platform and B2B2C marketplace, which he sold 7 years later before joining Waterlily. Our founding engineer and data scientist, Tim Chung, holds a Masters of Computer Science from UPenn and is midway through a Data Science Masters at Georgia Tech. Tim excels in a trio of roles: data scientist, machine learning engineer, and full-stack software engineer. At his previous companies, he led teams to launch pioneering machine learning models. How We Work We optimize for remote-first collaboration while maintaining high productivity We emphasize contextual decision-making and practical solutions We prioritize deep work and focused execution over unnecessary meetings We consistently validate that we're working on the highest-impact initiatives We maintain a healthy, growth-oriented mindset while pushing for exceptional results We're looking for teammates who share our values of integrity, empathy, and intelligent hard work - people who can see beyond their immediate role to understand both company needs and customer impact. We're seeking a talented full-stack data scientist who embodies our values of resilience, execution focus, and mission-driven innovation. The ideal candidate isn't just a skilled data scientist they're a builder who sees beyond code to understand the larger business and human impact of their work. You have a track record of rapidly learning new technologies and business domains You see challenges as opportunities and adapt quickly to changing priorities You're comfortable with ambiguity and can make swift, informed decisions You have a history of building solutions that challenge traditional approaches You can point to specific examples where you've used automation or AI to multiply your impact You focus on getting things done rather than achieving perfection on the first try You have experience or strong interest in leveraging LLMs and offshore teams as force multipliers Leadership & Communication You give and receive direct feedback with grace and professionalism You can clearly explain complex technical concepts to non-technical stakeholders You're comfortable leading discussions and driving decisions You naturally build trust through transparency and reliable execution Mission Alignment You're drawn to meaningful work that impacts families' lives You understand that sustained high performance requires maintaining personal wellbeing You're excited about joining a team that values both ambitious goals and sustainable pace You're genuinely interested in transforming how families prepare for long-term care The Ideal Background While we value potential over experience, you likely have: Demonstrated ability to own and deliver full-stack projects end-to-end Experience with modern web development frameworks and cloud architecture Track record of improving team efficiency through automation and process innovation History of taking initiative and driving results without extensive oversight We're not looking for someone who's done it all before we're looking for someone who has the raw talent and drive to help us pioneer new approaches to software development and team collaboration. If you're excited about pushing boundaries, learning rapidly, and making a real difference in people's lives, we want to talk to you. About The Role You will be tasked with owning and scaling mission-critical features across the entire software stack. The goal will be to push beyond industry best-practices in software development by innovating new strategies that leverage LLMs and offshore teams to achieve company-defining results for a fraction of the time and cost of what other companies have previously achieved. You will be working with our founding US-based team and report directly to our co-founder and COO, Evan Ehrenberg, and you will grow to work with and support the management of a team of 40+ in the Philippines. You will collaborate on new ideas and implement quickly to test and iterate. Many ideas will not work and will be thrown away. Many ideas will need to be imperfect so that we can implement them faster. Everything will be iterative, no challenge will be too ambitious. You will be challenged to produce meaningful results every week. It will likely take you more than 40 hours per week to drive industry-leading results. We do not think that 80 hour weeks are sustainable or effective in the long run, and so while there may be incredibly important times where we mutually decide to be opportunistic to push ourselves to that amount of work to accomplish something very time sensitive, we expect you to generally limit yourself to 50-60 hour work-weeks. If you want to push harder we will urge you to reflect on ways to be more effective with your time so that you can dedicate your remaining time to benefit your mental and physical health. We will be in the trenches with you, and together we will create one of the most impactful companies that will help families prepare for what has historically been one of the most devastating times in their lives so that they can face long-term care with confidence and calm. Product Driven Customer Success: Your mission is to surprise and delight our customers through product initiatives that go above and beyond to make Waterlily their favorite company to work with. Full-Stack Development Leadership: Own and architect mission-critical features across the entire software stack, from frontend React/TypeScript applications to backend Node.js services, ensuring scalable and maintainable solutions that meet enterprise customer needs. AI/ML Integration: Design and implement innovative solutions leveraging LLMs and AI technologies to automate workflows, enhance product capabilities, and create novel approaches to software development that surpass traditional industry practices. Technical Architecture & Scalability: Develop and maintain AWS serverless architecture while ensuring system reliability, performance, and security at scale as we service Fortune 100 customers and major insurance carriers. Product Engineering: Collaborate closely with founders to rapidly prototype, test, and iterate on new features, balancing speed of implementation with code quality to achieve fast market validation. Offshore Team Leadership: Work with and support the management of a 40+ person Philippines-based team for QA testing, establishing best practices for collaboration and implementing systems to maximize team efficiency. Process Innovation: Pioneer new approaches to software development by combining LLMs, automation tools, and offshore resources to achieve significant improvements in development speed and cost-effectiveness. Cross-functional Collaboration: Partner with various departments to identify technical solutions for business challenges, particularly in areas of customer success, sales operations, and marketing automation. Technical Documentation: Create and maintain comprehensive documentation for systems, processes, and novel development approaches to enable knowledge sharing and team scaling. Key Skills & Qualifications Technical Expertise: We know that the best data scientists will pick up whatever tools they need on the job . click apply for full job details

Machine Learning Engineer, Motion Planning, Self-Driving Join to apply for the Machine Learning Engineer, Motion Planning, Self-Driving role at Tesla Machine Learning Engineer, Motion Planning, Self-Driving 1 year ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer, Motion Planning, Self-Driving role at Tesla What To Expect Tesla is looking for strong Machine Learning Engineers to help build foundation models for robotics to drive the future of autonomy across all current and future generations of vehicles. You will work on a lean team without boundaries and have access to one of the world's largest training clusters. Most importantly, you will see your work repeatedly shipped to and utilized by millions of Tesla's customers. What You'll Do Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving systemUse cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving modelsExperiment with data generation and fleet data collection approaches to enhance the diversity and quality of training dataIntegrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet What You'll Bring Strong experience with Python, any major deep learning framework, and software engineering best practicesAn "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc.Proven expertise in deploying production ML models for self-driving, robotics, or natural language processing at scaleComfort with C++ to help integrate with vehicle firmware and take projects from ideas to shipped products Benefits Compensation and Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks program Expected Compensation $140,000 - $420,000/annual salary + cash and stock awards + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. , TeslaSeniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesMotor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities Referrals increase your chances of interviewing at Tesla by 2x Get notified about new Machine Learning Engineer jobs in Palo Alto, CA . 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About Mithrl We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world's first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. The Role We are hiring a Senior Full Stack Engineer to help build, scale, and evolve the core Mithrl product. This is a highly product-oriented engineering role with deep ownership across frontend, backend, and system design. You will work closely with product, design, ML, and scientific teams to turn complex scientific workflows into intuitive, high-performance software used daily by world-class researchers. As a senior engineer, you will be responsible not just for execution, but for technical direction, architectural decisions, and setting engineering standards . You will own features end-to-end, from initial concept through production, iteration, and scale. This role requires strong full-stack engineering fundamentals, a bias toward shipping, and the ability to operate comfortably in ambiguous, fast-moving environments. If you enjoy building real products used by sophisticated users, thinking deeply about system design and user experience, and taking ownership of critical parts of a fast-growing platform, this role is an ideal match. What You Will Do Design, build, and maintain core Mithrl product features across frontend and backend Own end-to-end feature development, from product requirements to production deployment and iteration Build intuitive user interfaces that abstract complex scientific and data workflows Develop scalable backend services, APIs, and data pipelines that power the Mithrl platform Collaborate closely with product, design, ML, and scientific teams to translate user needs into technical solutions Make architectural decisions that balance speed, scalability, reliability, and developer velocity Improve system performance, reliability, and observability as usage and data volumes grow Write clean, maintainable, and well-tested code that sets a high bar for quality Mentor junior engineers and contribute to raising the overall engineering bar Participate in technical planning, code reviews, and ongoing platform evolution What You Bring Required Qualifications 7+ years of professional software engineering experience Strong full-stack engineering experience with Python and React in production environments Proficiency in Django for building backend APIs, services, and data-intensive systems Strong experience building modern frontend applications using React Experience designing and working with GraphQL APIs, including schema design, performance considerations, and client-server data modeling Experience designing and working with scalable systems, databases, and data-intensive applications Strong understanding of system design, software architecture, and engineering best practices Experience shipping and owning production systems used by real customers Ability to work effectively in fast-paced, ambiguous environments Strong problem solving skills and a product-oriented mindset Excellent communication skills and ability to collaborate cross-functionally Nice to Have Experience building products for technical or scientific users Familiarity with data-heavy, analytics, or ML-enabled platforms Experience with cloud infrastructure such as AWS, GCP, or Azure Experience mentoring or leading other engineers Exposure to biotech, life sciences, or R&D workflows What You Will Love At Mithrl High ownership and impact: You will own meaningful parts of a category-defining product used by leading pharma and biotech organizations. Your work will directly shape how scientists interact with AI and data on a daily basis Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $175K - $220K

This range is provided by Metric Bio. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $100,000.00/yr - $400,000.00/yr Direct message the job poster from Metric Bio Metric Bio is partnering with an elite neurotechnology company to recruit a Staff Machine Learning Engineer for their groundbreaking brain-computer interface (BCI) platform. This is an opportunity to join a team of world-renowned experts at the forefront of neurotechnology and AI. About the Team: You'll be working alongside: Leading neuroscientists and neurosurgeons from top institutions Machine learning pioneers with publications in NeurIPS, ICML, and Nature journals Seasoned engineers from premier tech and medical device companies Together, this multidisciplinary team is translating cutting-edge research into clinical reality, with backing from top-tier investors ($155M+ funding) and partnerships with renowned medical centers. The Opportunity: As a Staff ML Engineer, you will: Develop novel algorithms for real-time neural signal decoding that will define industry standards Architect robust ML systems processing high-dimensional neural data at the edge Collaborate directly with clinical teams to validate models in real-world settings Contribute to an FDA-regulated medical device with immediate patient impact What You will Bring: Advanced expertise in machine learning (RNNs, LSTMs, CNNs) and signal processing (spike sorting, LFP/ECoG analysis) Experience deploying production ML systems with strict latency requirements Strong Python skills (PyTorch/TensorFlow) and cloud infrastructure knowledge A track record of technical excellence through publications, patents, or shipped products Passion for bridging AI research with clinical applications For senior ML engineers seeking to apply their skills to one of the most meaningful challenges in technology today, this represents a career-defining opportunity. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesMedical Equipment Manufacturing Referrals increase your chances of interviewing at Metric Bio by 2x Sign in to set job alerts for "Machine Learning Engineer" roles.AI/ML Engineer (Multiple roles and seniority levels)Machine Learning Engineer, Early Stage Project Mountain View, CA $136,000.00-$185,000.00 2 weeks ago Software Engineer, AI Platform - New Grad Mountain View, CA $145,000.00-$170,000.00 2 weeks ago San Jose, CA $137,500.00-$236,500.00 2 weeks ago Palo Alto, CA $2,000.00-$2,500.00 2 weeks ago Data Scientist, Analytics - Safety Response San Francisco Bay Area $140,000.00-$157,500.00 2 weeks ago San Jose, CA $120,700.00-$228,600.00 2 weeks ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.) San Jose, CA $118,657.00-$187,200.00 3 days ago San Francisco, CA $140,000.00-$235,000.00 2 weeks ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago San Jose, CA $130,000.00-$200,000.00 1 week ago San Jose, CA $93,200.00-$170,600.00 2 weeks ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning San Jose, CA $120,000.00-$165,000. months ago Research Engineer - Machine Learning (ML) San Francisco, CA $180,000.00-$240,000.00 3 weeks ago Mountain View, CA $125,400.00-$188,100.00 2 weeks ago San Francisco, CA $88,000.00-$140,000.00 1 month ago San Francisco, CA $160,000.00-$185,000.00 5 days ago Mountain View, CA $152,000.00-$228,000.00 2 weeks ago New Grads 2025 - General Software Engineer San Jose, CA $120,000.00-$165,000.00 6 months ago San Jose, CA $120,700.00-$228,600.00 2 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

AI can be a powerful tool for good in the world - at Altana we apply AI to the world's largest organized body of supply chain data to power a more resilient, more secure, and more sustainable model of global commerce. Our customers connect to the Altana network to build resilience for critical industries and infrastructure, automate and safeguard cross-border trade, transform insurance underwriting, protect national security, combat modern slave labor, disrupt fentanyl trafficking, and ensure that their products are sustainable. Altana is backed by leading investors and used by the world's most important organizations, including Lloyd's, Maersk, multiple government agencies across the US, UK, EU, Singapore, and Australia, General Atomics, Boston Scientific, and more. We are building a global platform connecting the public and private sectors into an AI powered network for building trusted supply chains. We operate in accordance with our values: we focus on value creation, not capture; we foster diversity and embrace difference; we embrace reality; we get things done; we amaze our clients. When you join Altana, you'll be joining a vibrant, collaborative team working together to solve complex problems with the potential for global societal impact. The Opportunity at Altana The Engineering team is responsible for building out the platforms, APIs, services, workflows, and logical architectures for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. You'll work closely with our Data Scientists on projects to analyze and observe world scale datasets, write code that can scale to produce never before seen insights, and construct APIs to deliver our product vision. You Will Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve the goal while fitting into our overall technical and product roadmaps. Personally develop and deploy services creating and supporting our overall architecture. Build and maintain distributed data processing and machine learning pipelines. Analyze and propose technical solutions to invent, enable, and enhance our product offerings. Be responsible for automating, testing, and deploying your work. Review the code and technical designs authored by your fellow team members, and hold a high bar for quality. Mentor junior developers and help them level up their skills. You Have BS or MS degree in Computer Science, or equivalent experience. 5+ years of real world professional experience writing back end or data driven software in demanding environments. You've deployed production code and services to cloud hosted environments. You have demonstrated experience delivering incremental releases from proof of concept to MVP to production. Self starter with demonstrated experience working on large, complex problems. You care deeply about engineering excellence, clean code, and knowledge sharing. You have strong written and verbal communication skills. Nice to have, but not required Experience with Python Machine Learning toolsets (Numpy, Pandas, Dedupe). Experience with container technologies like Docker and Kubernetes. Technologies we love to use at Altana Languages: Python, PySpark Datastores: Databricks and Delta Lakes This role can be based in any of our Altana hub locations, with hybrid work flexibility: New York City or San Francisco, CA. Why it's great to work at Altana We love to collaborate, and we win as a team! We are committed to engineering excellence We value personal and professional development We learn from diverse backgrounds and perspectives We impact the world, from enabling developing countries to identifying drug traffickers At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We're proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation. Offers related to employment at Altana will come from an Altana.ai email address. We will never ask for payment as part of the interview or onboarding process.