Codashop Ml, PH Jobs in Usa

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.

What you'll do:

• 
  
• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
  

What we're looking for:

• 
  
• M.S/ PhD degree in Computer Science, Statistics or related field.
  
• Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  
• Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  
• Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  
• Deep hands-on experience in content understanding domains, such as:
  
  • 
    
  • computer vision (classification, detection, representation learning),
    
  • NLP (text classification, entity/topic modeling),
    
  • multimodal / embedding models (e.g., transformer-based representations).
    
  
  
• Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  
• Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  
• Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.

What you'll do:

• 
  
• Write production Python that powers real-time bidding, model training, and campaign optimization
  
• Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
  
• Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
  
• Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
  
• Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
  
• Serve as a technical lead and mentor on a distributed engineering team
  

What we're looking for:

• 
  
• Strong production Python skills: you write code that runs in prod, not just notebooks
  
• Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
  
• Familiarity with modern AI tools and good judgment about where they add value
  
• Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
  
• Clear written communication: we're a distributed team and writing is how decisions get made
  
• Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
  
• Nice-to-Haves:
  
  • 
    
  • Teaching experience
    
  • Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • Reinforcement learning or bandit algorithms in production
    
  • Experience building agentic AI systems or LLM-powered workflows
    
  • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, machine learning, statistics, or related field
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

The future of AI whether in training or evaluation, classical ML or agentic workflows starts with high-quality data.

At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.

Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.

Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines powering everything from model training datasets to eval test sets to continuous feedback loops. We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems we'd love to talk.

HumanSignal is looking for an exceptional Strategic Account Executive to drive growth with the world's most innovative AI companies. You'll be selling at the cutting edge: our Label Studio platform and Data Creation Laboratory services power the training data behind breakthrough AI applications at frontier labs and Fortune 500 enterprises.

This isn't traditional SaaS sales. Our customers are building the futureadvanced language models, autonomous systems, embodied AI, and applications that don't exist yet. They need purpose-built datasets manufactured from scratch, not scraped from the web. You'll be selling both our platform technology and our operational capability to create novel training data in controlled environments. The technical depth, deal complexity, and strategic importance of these relationships make this one of the most exciting sales roles in AI infrastructure.

You'll own relationships with AI leaders like Anthropic, OpenAI, Google DeepMind, Meta, Nvidia, Tesla, and others pushing the boundaries of what's possible. Your success will directly enable the next generation of AI breakthroughs.

You Will:

• Own strategic accounts: Drive the entire relationship with our most important AI customersfrom initial engagement through expansion and renewal
• Hunt and close new logos: Identify and win new customers among frontier AI labs, tech giants building AI capabilities, and innovative robotics companies
• Navigate complex organizations: Build deep relationships with executive stakeholders across engineering, ML research, product, and operations within customer organizations
• Drive revenue growth: Expand wallet share by identifying new use cases, additional business units, and opportunities to deepen our partnership
• Orchestrate internally: Lead cross-functional teams including delivery operations, engineering, product, and laboratory operations to develop winning strategies and flawless execution
• Be the customer advocate: Serve as the voice of the customer internally, influencing product roadmap and operational capabilities based on market needs
• Solve complex problems: Navigate technical requirements, custom data creation scenarios, and novel use cases that have never been done before
• Think strategically: Develop and execute comprehensive account plans that position HumanSignal as the long-term data infrastructure partner
• Close significant deals: Structure and negotiate contracts ranging from $500K to $5M+ with sophisticated technical and business buyers

Ideally You'd Have:

• 8+ years of enterprise sales or account management experience with a track record of exceeding quota
• 2+ years selling deeply technical products or services to both business and technical audiences (ML engineers, researchers, AI/ML leaders)
• Proven success closing complex, multi-stakeholder deals in the $500K-$5M+ range
• Experience in AI/ML, data infrastructure, cloud services, or other technical domains where you've sold to engineering and research teams
• Ability to understand technical concepts quickly and translate them into business value
• Strong consultative selling skills with ability to uncover needs, navigate ambiguity, and co-create solutions
• Executive presence and experience developing relationships with C-level stakeholders
• Track record of driving renewals and expansion within strategic accounts
• Excellent written and verbal communication skills, including creating executive-level materials
• Proficiency with modern sales tools (Salesforce, Outreach, Clari, LinkedIn Sales Navigator)
• Strong project management abilities and exceptional organizational skills
• Passion for AI and excitement about working at the frontier of what's possible

Nice to Haves:

• Technical background or degree in Computer Science, Engineering, or related field
• Experience selling services alongside software products
• Understanding of how training data impacts model performance
• Existing relationships within the AI research or frontier lab community
• Experience in fast-growing startups where you've helped build sales processes from scratch

Why This Role Is Special:

You're not selling commodity softwareyou're enabling the teams building AGI, autonomous vehicles, humanoid robots, and AI applications we can't even imagine yet. Every deal you close helps unlock new capabilities that could change the world. You'll work with the smartest people in AI, solve problems that have never been solved before, and build relationships with companies defining the future of technology.

About HumanSignal:

At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require.

We believe the next frontiers in AI won't be unlocked by scraping what's left on the webthey'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability.

We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future.

We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $120,000 to $200,000 USD plus commission. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

COMPENSATION: $22-$24 and hour + BONUSES

JOB TITLE: Real Estate Assistant With Strong Analytical Skills

SCHEDULE: Monday - Friday, Weekends as needed.

COMPANY INTRODUCTION: We are a boutique Residential Real Estate Sales company based in Miami Beach, Florida, and we pride ourselves on providing professional white glove service to high net worth clients. We specialize in uber-luxury residential sales and rentals focusing on Miami Beach, Surfside, Coconut Grove, Coral Gables, Bal Harbour and Palm Beach.

We are looking for a Real Estate Assistant with Strong Analytical Skills who is excited to have the opportunity for future growth in a long-term Real Estate Sales Career.

Is this YOU?

QUALITIES OF A TOP CANDIDATE

EXPERIENCE

• You have a Real Estate Brokerage License or are working to get one
• You love technology and sleep with your MAC Computer under your pillow
• Bonus - if You have worked in Miami Beach Real Estate with a Successful Team

PERSONAL SKILLS

• You enjoy helping people and consider yourself a “people-person”
• You have a “sunny” disposition
• You always find a way to get the job done
• You are exceptionally organized
• You are a perfectionist when it comes to your filing systems
• You are Detailed
• You are Responsible
• You are a Fast Learner
• You are excellent at Researching just about anything on Google
• You LOVE TO LEARN!

TECHNOLOGY

• You have a MAC
• You have an iPhone
• You use AI
• You are Tech-Savvy
• You are a WHIZ at EXCEL
• You love Formatting Spreadsheets to Perfection
• You love trying out new Apps
• You love learning how to use new Software Programs
• You may already be Proficient at using MLS Software
• You might also have experience with Photoshop, InDesign, etc.

EDUCATION AND COMMUNICATION SKILLS

• You are a fresh out of college Graduate
• You Majored in Business or Economics
• You may have Minored in Marketing
• You are Interested in the Marketing Side of the business
• You have excellent Communication Skills
• You have exceptional writing skills in English
• You have exceptional speaking skills in English

SOFTWARE EXPERIENCE

• You are Proficient with Excel, Especially Formatting
• You are Proficient with Dropbox or a similar document management software
• You are Proficient at MAC Preview to edit your PDF documents
• You have an excellent command of Microsoft Office / Word / Excel / Powerpoint
• You use a Knowledge Management Software to keep track of important notes
• You use an online Task Manager and Reminder App
• You are Proficient with Calendars and Appointment Scheduling

ANALYTICAL TASKS INCLUDE

• Formatting Spreadsheets in Excel with basic formula functions
• Updated spreadsheets with color coding and links
• Assist with pulling data from the MLS to prepare comparable market analysis
• Review sales data and pricing for various market areas
• Research off-market sales
• Review Tax Rolls and MLS History
• Assist with finding properties for Buyers and Renters

MARKETING TASKS INCLUDE (Preferred but not Required)

• Retouch Photos and Videos (Photoshop experience preferred) 
• Take iPhone Photos and Videos
• Organize Photos and Videos
• Provide detailed feedback to Vidographer/Photographer vendors
• Coordinate with marketing vendors to track and complete projects
• Use templates to create E-Blasts and Direct Mailers
• Keep the Stacy Robins Companies website updated
• Prepare Content and Post on Social Media
• Organizing Photos and Videos for Inventory

ORGANIZATIONAL TASKS INCLUDE

• Scheduling Showing Appointments for Luxury Listings
• Scheduling Meetings with Contractors
• Handling Inspections
• Organizing Property Tours
• Organizing Filing Systems for Legal Documents
• Sending Documents for Electronic Signature
• Learning to Use MLS for Property Searches in an Expert Manner
• Inputting Listings Into MLS
• Plan and Execute Open Houses
• Following Checklists
• Maintaining Databases

TRANSPORTATION REQUIREMENTS 

• You have a fully operating and reliable Car (REQUIRED)
• You live within 10 minutes of Miami Beach

• Bachelor’s degree

• One year of work or training experience in a hospital laboratory preferred

• Must meet certification eligibility upon entry into this role and have one of the following required certifications within 18 months: • Certified as a Medical Technologist, Clinical Laboratory Scientist, Medical Laboratory Scientist, or categorical certification by Board of Certification (ASCP) • Certified as a Medical Technologist, Medical Laboratory Scientist or Molecular Diagnostics Technologist by American Medical Technologists (AMT) • Certified as a Clinical Laboratory Scientist by National Credentialing Agency for Laboratory Personnel (NCA) • HLA only – One of the following is required: ◦ Medical Technologist, MT(ASCP) or Medical Laboratory Scientist, MLS(ASCP) certification ◦ Certified by American Board of Histocompatibility and Immunogenetics (ABHI) • Microbiology only – One of the following is required: ◦ Medical Technologist, MT(ASCP) or Medical Laboratory Scientist, MLS(ASCP) certification ◦ Microbiology, M(ASCP) certification ◦ Clinical microbiology registry from American Society for Microbiology, RM(AAM)
  

• Demonstrates the skills and competencies necessary to safely perform the assigned job, determined through ongoing skills, competency assessments, and performance evaluations
• Sufficient proficiency in speaking, reading, and writing the English language necessary to perform the essential functions of this job, especially with regard to activities impacting patient or employee safety or security
• Ability to effectively communicate with patients, physicians, family members and co-workers in a manner consistent with a customer service focus and application of positive language principles
• Adapts to multiple ongoing priorities including organizing heavy workflow with minimal supervision
• Strong attention to detail and ability to achieve and maintain accuracy
• Demonstrates independent judgment and discretion to recognize problems, identify causes and take corrective action
• Possesses basic computer knowledge; operates multiple computer systems to include, Hospital/Laboratory Information Systems and Office software to maintain patient and testing records and other related documents
• Demonstrates the ability to work independently with little or no direct supervision
• Ability to recognize changes that are critical to patient care

• Promotes a positive work environment and contributes to a dynamic, team-focused work unit that actively helps one another to achieve optimal department results. Collaborates with all members of the patient care team by actively communicating and reporting pertinent patient care information and data in a comprehensive manner.
• Teaches students, new employees and others as assigned by Manager.
• Participates in laboratory and organization-wide initiatives.

• Performs qualitative and quantitative tests and examination using various analyzers and/or manual methods.
• Organizes workload and sets priorities. Utilizes all available work time by assisting others and performing additional tasks.
• Meets turnaround time expectations as defined by management.

• Demonstrates the six elements of competency for test systems used to generate patient test results in all areas assigned to work.
• Recognizes, investigates and helps resolve test discrepancies. When problems arise, takes appropriate action to investigate and address and notifies management and the medical director for follow-up.
• Performs instrument calibrations, validations, quality control testing, maintenance, and function checks.

• Adjusts work schedule to accommodate departmental/organizational needs. Appropriately utilizes the time recording system.
• Uses resources efficiently; does not waste supplies. Re-stocks section inventory levels as needed.

• Seeks opportunities to expand learning beyond baseline competencies with a focus on continual development.
• Reviews and utilizes Standard Operating Procedure and offers suggestions for improvement.

• Uniform: No
• Scrubs: Yes
• Business professional: Yes
• Other (department approved): No

• On Call* Yes

• May require travel within the Houston Metropolitan area Yes
• May require travel outside Houston Metropolitan area Yes

• Bachelor’s degree

• One year of work or training experience in a hospital laboratory preferred

• Must meet certification eligibility upon entry into this role and have one of the following required certifications within 18 months:
  • Certified as a Medical Technologist, Clinical Laboratory Scientist, Medical Laboratory Scientist, or categorical certification by Board of Certification (ASCP)
  • Certified as a Medical Technologist, Medical Laboratory Scientist or Molecular Diagnostics Technologist by American Medical Technologists (AMT)
  • Certified as a Clinical Laboratory Scientist by National Credentialing Agency for Laboratory Personnel (NCA)
  • HLA only – One of the following is required:
  ◦ Medical Technologist, MT(ASCP) or Medical Laboratory Scientist, MLS(ASCP) certification
  ◦ Certified by American Board of Histocompatibility and Immunogenetics (ABHI)
  • Microbiology only – One of the following is required:
  ◦ Medical Technologist, MT(ASCP) or Medical Laboratory Scientist, MLS(ASCP) certification
  ◦ Microbiology, M(ASCP) certification
  ◦ Clinical microbiology registry from American Society for Microbiology, RM(AAM)
  

Company Profile:

Houston Methodist Baytown Hospital brings the expertise and latest technology of Houston Methodist to Baytown and surrounding counties. The skilled and compassionate physicians, nurses and staff provide unsurpassed medical care in a close-to-home, state-of-the-art facility. Houston Methodist Baytown is committed to meeting the needs of its growing community through the ongoing facilities master plan expansion project, which includes a new, expanded emergency department, a five-story patient tower, outpatient center, renovated Cancer Center, neonatal intensive care unit and the addition of technologically advanced operating rooms.

Houston Methodist is an Equal Opportunity Employer.

• Bachelor’s degree

• One year of work or training experience in a hospital laboratory preferred

• Must meet certification eligibility upon entry into this role and have one of the following required certifications within 18 months: • Certified as a Medical Technologist, Clinical Laboratory Scientist, Medical Laboratory Scientist, or categorical certification by Board of Certification (ASCP) • Certified as a Medical Technologist, Medical Laboratory Scientist or Molecular Diagnostics Technologist by American Medical Technologists (AMT) • Certified as a Clinical Laboratory Scientist by National Credentialing Agency for Laboratory Personnel (NCA) • HLA only – One of the following is required: ◦ Medical Technologist, MT(ASCP) or Medical Laboratory Scientist, MLS(ASCP) certification ◦ Certified by American Board of Histocompatibility and Immunogenetics (ABHI) • Microbiology only – One of the following is required: ◦ Medical Technologist, MT(ASCP) or Medical Laboratory Scientist, MLS(ASCP) certification ◦ Microbiology, M(ASCP) certification ◦ Clinical microbiology registry from American Society for Microbiology, RM(AAM)
  

• Demonstrates the skills and competencies necessary to safely perform the assigned job, determined through ongoing skills, competency assessments, and performance evaluations
• Sufficient proficiency in speaking, reading, and writing the English language necessary to perform the essential functions of this job, especially with regard to activities impacting patient or employee safety or security
• Ability to effectively communicate with patients, physicians, family members and co-workers in a manner consistent with a customer service focus and application of positive language principles
• Adapts to multiple ongoing priorities including organizing heavy workflow with minimal supervision
• Strong attention to detail and ability to achieve and maintain accuracy
• Demonstrates independent judgment and discretion to recognize problems, identify causes and take corrective action
• Possesses basic computer knowledge; operates multiple computer systems to include, Hospital/Laboratory Information Systems and Office software to maintain patient and testing records and other related documents
• Demonstrates the ability to work independently with little or no direct supervision
• Ability to recognize changes that are critical to patient care

• Promotes a positive work environment and contributes to a dynamic, team-focused work unit that actively helps one another to achieve optimal department results. Collaborates with all members of the patient care team by actively communicating and reporting pertinent patient care information and data in a comprehensive manner.
• Teaches students, new employees and others as assigned by Manager.
• Participates in laboratory and organization-wide initiatives.

• Performs qualitative and quantitative tests and examination using various analyzers and/or manual methods.
• Organizes workload and sets priorities. Utilizes all available work time by assisting others and performing additional tasks.
• Meets turnaround time expectations as defined by management.

• Demonstrates the six elements of competency for test systems used to generate patient test results in all areas assigned to work.
• Recognizes, investigates and helps resolve test discrepancies. When problems arise, takes appropriate action to investigate and address and notifies management and the medical director for follow-up.
• Performs instrument calibrations, validations, quality control testing, maintenance, and function checks.

• Adjusts work schedule to accommodate departmental/organizational needs. Appropriately utilizes the time recording system.
• Uses resources efficiently; does not waste supplies. Re-stocks section inventory levels as needed.

• Seeks opportunities to expand learning beyond baseline competencies with a focus on continual development.
• Reviews and utilizes Standard Operating Procedure and offers suggestions for improvement.

• Uniform: No
• Scrubs: Yes
• Business professional: Yes
• Other (department approved): No

• On Call* Yes

• May require travel within the Houston Metropolitan area Yes
• May require travel outside Houston Metropolitan area Yes

• Bachelor’s degree

• One year of work or training experience in a hospital laboratory preferred

• Must meet certification eligibility upon entry into this role and have one of the following required certifications within 18 months:
  • Certified as a Medical Technologist, Clinical Laboratory Scientist, Medical Laboratory Scientist, or categorical certification by Board of Certification (ASCP)
  • Certified as a Medical Technologist, Medical Laboratory Scientist or Molecular Diagnostics Technologist by American Medical Technologists (AMT)
  • Certified as a Clinical Laboratory Scientist by National Credentialing Agency for Laboratory Personnel (NCA)
  • HLA only – One of the following is required:
  ◦ Medical Technologist, MT(ASCP) or Medical Laboratory Scientist, MLS(ASCP) certification
  ◦ Certified by American Board of Histocompatibility and Immunogenetics (ABHI)
  • Microbiology only – One of the following is required:
  ◦ Medical Technologist, MT(ASCP) or Medical Laboratory Scientist, MLS(ASCP) certification
  ◦ Microbiology, M(ASCP) certification
  ◦ Clinical microbiology registry from American Society for Microbiology, RM(AAM)
  

Company Profile:

Houston Methodist Baytown Hospital brings the expertise and latest technology of Houston Methodist to Baytown and surrounding counties. The skilled and compassionate physicians, nurses and staff provide unsurpassed medical care in a close-to-home, state-of-the-art facility. Houston Methodist Baytown is committed to meeting the needs of its growing community through the ongoing facilities master plan expansion project, which includes a new, expanded emergency department, a five-story patient tower, outpatient center, renovated Cancer Center, neonatal intensive care unit and the addition of technologically advanced operating rooms.

Houston Methodist is an Equal Opportunity Employer.